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Journal articles on the topic 'OpenDSS'

Author: Grafiati
Published: 4 June 2021
Last updated: 28 January 2023

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1

Nasser, Mustafa R., Inaam I. Ali, and Mohammed H. Alkhafaji. "Optimal Placement and Size of Distributed Generators Based on Autoadd and PSO to Improve Voltage Profile and Minimize Power Losses." Engineering and Technology Journal 39, no. 3A (March 25, 2021): 453–64. http://dx.doi.org/10.30684/etj.v39i3a.1781.

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This work aims to improve the voltage profile and reduce electrical network losses through optimal planning of distributed generators. A new search algorithm (Autoadd) along with the (PSO) are introduced to choose the best location and size for distributed generators. Two systems are implemented; a 33-bus test network and a 30-bus of a local community in the city of Al- Diwaniyah. At the power flow, a solution is implemented using a fixed-point iteration method within an OpenDSS environment to check the performance of both networks. Moreover, the optimal location and size of the distributed generators are determined using Autoadd and PSO methods. The Autoadd method is implemented within the OpenDSS environment, while the (PSO) method is implemented within the MATLAB-OpenDSS environment through the com-interface. The validity and effectiveness of the proposed methods are validated by comparison with the published researches. The results have proven that the fixed-point method has achieved high efficiency and accuracy in terms of analyzing the power flow, whereas the (Autoadd) algorithm has achieved a better effect in terms of improving the voltage profile and minimizing losses.
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2

Aljanad, A., and Azah Mohamed. "Harmonic Impact of Plug-In Hybrid Electric Vehicle on Electric Distribution System." Modelling and Simulation in Engineering 2016 (2016): 1–7. http://dx.doi.org/10.1155/2016/5968943.

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This paper presents the harmonic effects of plug-in hybrid electric vehicles (PHEV) on the IEEE 37-bus distribution system at different PHEV penetration levels considering a practical daily residential load shape. The PHEV is modeled as a current harmonic source by using the Open-Source Distribution System Simulator (OpenDSS) and DSSimpc software. Time series harmonic simulation was conducted to investigate the harmonic impact of PHEV on the system by using harmonic data obtained from a real electric vehicle. Harmonic effects on the system voltage profile and circuit power losses are also investigated by using OpenDSS and MATLAB software. Current/voltage total harmonic distortion (THD) produced from the large scale of PHEV is investigated. Test results show that the voltage and current THDs are increased up to 9.5% and 50%, respectively, due to high PHEV penetrations and these THD values are significantly larger than the limits prescribed by the IEEE standards.
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Cho, Gyu-Jung, Seung-Kwon Shin, Hosung Jung, Joorak Kim, Jaewon Kim, Hyungchul Kim, and Chul-Hwan Kim. "Modeling of Domestic Electric Railway Feeding System using OpenDSS." Transactions of The Korean Institute of Electrical Engineers 69, no. 10 (September 30, 2020): 1540–47. http://dx.doi.org/10.5370/kiee.2020.69.10.1540.

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4

Vera Silva, Carlos Daniel, and Agustín Rafael Marulanda Guerra. "OPENDSS aplicado al modelamiento y simulación dinámica de microrredes." Visión electrónica 12, no. 2 (October 27, 2018): 149–61. http://dx.doi.org/10.14483/22484728.13994.

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El uso de la generación distribuida con fuentes de energías renovables no convencionales y de sistemas de almacenamiento de energía ha propiciado el cambio de los sistemas tradicionales de distribución de energía hacia las microrredes eléctricas. La idea principal de esta investigación, es analizar el comportamiento de una microrred por medio de su modelado y simulación usando el programa computacional OpenDSS. Para ello, se modeló el sistema de prueba IEEE de 13 nodos modificado por medio de la ubicación de sistemas de almacenamiento de energía y plantas de generación -solar, eólica y diésel- distribuidas en diferentes puntos de la red de distribución. Lo anterior permite analizar las potencialidades de este software, así como las técnicas de modelado necesarias para su óptimo funcionamiento. Se verifica que el sistema, trabajando como microrred, mejora la eficiencia de la red de distribución en 51.5%.
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Pham, Thai Dinh, Thang Trung Nguyen, and Le Chi Kien. "Optimal Placement of Photovoltaic Distributed Generation Units in Radial Unbalanced Distribution Systems Using MATLAB and OpenDSS-Based Cosimulation and a Proposed Metaheuristic Algorithm." International Transactions on Electrical Energy Systems 2022 (November 18, 2022): 1–21. http://dx.doi.org/10.1155/2022/1446479.

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In this paper, an improved slime mould algorithm (ISMA) is proposed for finding the optimal location and sizing of photovoltaic distributed generation units (PVDGUs) in unbalanced distribution systems (UDSs). The proposed method is developed by changing the control variable update mechanism of the original slime mould algorithm (SMA). Total power losses on distribution lines and voltage deviation index of all buses are minimized under the consideration of various constraints. The location and sizing of PVDGUs found by ISMA are added into the cosimulation between MATLAB and OpenDSS for reaching other remaining parameters of UDSs. In addition, sunflower optimization (SFO), social-ski drive (SSD), cuckoo search algorithm (CSA), salp swarm algorithm (SSA), bonobo optimizer (BO), and SMA are also run for finding PVDGUs placement solution on the unbalanced three-phase IEEE 123-bus test feeder. As a result, the proposed ISMA can reduce the power loss up to 78.88% and cut the voltage deviation up to 1.4779 pu while that of others is from 69.10% to 78.87% and from 1.5759 to 1.4996 pu. Thus, ISMA should be used to place PVDGUs in UDSs meanwhile the cosimulation between MATLAB and OpenDSS should be applied as a power flow calculation tool for UDSs.
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6

Giannakaris, Panagiotis, Aphrodite Ktena, Christos Manasis, and Nicholas Assimakis. "Hybrid Power Plant with Storage on a Non-Interconnected Greek Island." B&H Electrical Engineering 14, no. 2 (December 1, 2020): 46–52. http://dx.doi.org/10.2478/bhee-2020-0012.

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Abstract In this work we present the design of a PV plant comprising storage for the transition of the fossil fuelled power plant of a non-interconnected Greek Island to a hybrid one with high RES penetration. Simulations are performed using the OpenDSS software. The proposed design offers 58.1% reduction in both fuel consumption and CO2 emissions for the first year of operation, which reduces to 44.2% and 42.2% after 20 years.
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7

Costa Santos de Oliveira, Eduardo Mateus, Marcelo Escobar de Oliveira, and Luis Gustavo Wesz da Silva. "Impacts of Photovoltaic Systems on a Brazilian Distribution Feeder using OpenDSS." Renewable Energy and Power Quality Journal 19 (September 2021): 310–15. http://dx.doi.org/10.24084/repqj19.283.

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8

Song, Jin-Sol, Ji-Soo Kim, Barry Mather, and Chul-Hwan Kim. "Hosting Capacity Improvement Method Using MV–MV Solid-State-Transformer." Energies 14, no. 3 (January 26, 2021): 622. http://dx.doi.org/10.3390/en14030622.

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As a large number of distributed generations are connected to the distribution system, research on the hosting capacity is actively being conducted. In particular, various methods, such as smart inverter functionality, co-located energy storage systems (ESS), and the use of on-load tap changers (OLTC), have been proposed to improve the hosting capacity. In this paper, a method to improve the hosting capacity by utilizing a solid-state transformer (SST) and its unique control capability is proposed. Lastly, the proposed method is verified in the distribution system of the Republic of Korea using the OpenDSS program.
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9

Radatz, Paulo, Celso H. S. Rocha, Jouni Peppanen, and Matthew Rylander. "Advances in OpenDSS smart inverter modelling for quasi-static time-series simulations." CIRED - Open Access Proceedings Journal 2020, no. 1 (January 1, 2020): 243–46. http://dx.doi.org/10.1049/oap-cired.2021.0319.

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10

Hariri, Ali, Alvi Newaz, and Md Omar Faruque. "Open-source python-OpenDSS interface for hybrid simulation of PV impact studies." IET Generation, Transmission & Distribution 11, no. 12 (August 24, 2017): 3125–33. http://dx.doi.org/10.1049/iet-gtd.2016.1572.

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11

Pegado, R. A., and Y. P. M. Rodriguez. "Distribution Network Reconfiguration with the OpenDSS using Improved Binary Particle Swarm Optimization." IEEE Latin America Transactions 16, no. 6 (June 2018): 1677–83. http://dx.doi.org/10.1109/tla.2018.8444386.

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12

He, Xun Yu, and Zhuan Ma. "The Study on Voltage Control Based on MAS and Grid Technology." Applied Mechanics and Materials 599-601 (August 2014): 747–50. http://dx.doi.org/10.4028/www.scientific.net/amm.599-601.747.

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In order to build a truly open OpenDSS and enhance the complexity of decision-making DSS for solving the problem of voltage control. a new model was given based on MAS in grid environment. Making use of the intelligence of MAS and adaptive capacity, based on the reasoning mechanisms for task decomposition and resource decision-making grid matching, a new intelligent algorithm based on MAS in order to improve its control effect, and the paper uses the kind of algorithm to coordinated secondary voltage control. The simulation results show the voltage control based on the algorithm have better global best properties and coordinate voltage effectively than routine method.
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13

Falah, Muhammad Yusuf, Adib Muhammad Arrasyid, Afrida Nurul Ulfa, Rizal Zulfiqri Ahmad, and Jimmy Trio Putra. "DAMPAK DISTRIBUTED ENERGY RESOURCES TERHADAP PROFIL TEGANGAN DAN RUGI DAYA PENYULANG BANTUL 05." Jurnal Edukasi Elektro 5, no. 2 (November 30, 2021): 70–79. http://dx.doi.org/10.21831/jee.v5i2.41090.

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ABSTRACT:To realize Indonesia's commitment to cut greenhouse effect, it is important to use environmentally friendly vehicles. On August 12, 2019, the Presidential Regulation on the velocity of Battery-Based Electric Motor Vehicle Program for land vehicle as a sign of the seriousness of the government applying this vehicle. This research is specific in terms of the provision of Public Electric Vehicle Charging Station (SPKLU) in Bantul refinery area, Yogyakarta after the installation of Photovoltaic (PV) plant as Distributed Energy Resources (DER). This study used a simulation of the Open Distribution System Simulator (OpenDSS) software distribution network in analyzing the comparison of voltage profiles and power losses before and after spklu installation. By optimizing the placement of SPKLU using Flower Pollination Algorithm (FPA) method using Matlab software that results in spklu placement on bus 58 by 300 kW, bus 37 by 301 kW, and bus 36 by 300 kW. The voltage profile changed from 0.9695 p.u to 0.9688 p.u and power losses from 53.3 kW to 56.1 kW.ABSTRAK:Untuk mewujudkan tanggungjawab Indonesia dalam mengurangi efek rumah kaca maka harus menggunakan angkutan ramah lingkungan. Pada tanggal 12 Agustus 2019 telah disahkan Perpres Percepatan Program Kendaraan Bermotor Listrik Berbasis Baterai sebagai transportasi jalan merupakan tanda seriusnya pemerintah mengaplikasikan kendaraan ini. Penelitian ini spesifik pada hal penyediaan Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) pada area penyulang Bantul, Yogyakarta setelah pemasangan pembangkit Photovoltaic (PV) sebagai Distributed Energy Resources (DER). Penelitian ini menggunakan simulasi jaringan distribusi software Open Distribution System Simulator (OpenDSS) untuk mempelajari perbandingan profil tegangan dan rugi daya sebelum dan sesudah pengaplikasian SPKLU. Dengan optimasi penempatan SPKLU menggunakan metode Flower Pollination Algorithm (FPA) menggunakan software Matlab yang menghasilkan penempatan SPKLU pada bus 58 sebesar 300 kW, bus 37 sebesar 301 kW, dan bus 36 sebesar 300 kW. Profil tegangan berubah dari 0,9695 p.u menjadi 0,9688 p.u dan rugi-rugi daya dari 53,3 kW menjadi 56,1 kW.
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14

Huang, Yuan Jiang, and Jie Huang. "The Study on Fire Spreading Based on Mobile Agent and Grid Technology." Advanced Materials Research 971-973 (June 2014): 1834–37. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.1834.

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In order to build a truly open OpenDSS and enhance the complexity of decision-making DSS for solving the problem of Fire spreading. a new model was given based on mobile Agent Open Decision Support System in grid environment. Making use of the intelligence of MAS and adaptive capacity, based on the reasoning mechanisms for task decomposition and resource decision-making grid matching, described in detail layer program CBR-based reasoning mechanism of the Agent and its operation flow and interactive mechanism, put the complexity of distribution of decision-making problem solving to the grid nodes on the environment, implementation of parallel asynchronous decision-making problem solving. Optimize distribution through the logistics of the problem MABODSS design, it proved to improve the system's intelligence and operational efficiency.
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15

Gwon, Dong-Yeong, Yun-Hyuk Choi, and Jun-Bo Sim. "A Study on Voltage Control Method of Smart Inverter using Matlab-OpenDSS Co-Simulation on Distribution Networks." Transactions of The Korean Institute of Electrical Engineers 71, no. 4 (April 30, 2022): 566–73. http://dx.doi.org/10.5370/kiee.2022.71.4.566.

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16

Guerra, Gerardo, and Juan A. Martinez-Velasco. "Evaluation of MATPOWER and OpenDSS load flow calculations in power systems using parallel computing." Journal of Engineering 2017, no. 6 (June 1, 2017): 195–204. http://dx.doi.org/10.1049/joe.2017.0023.

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17

Ruíz-Garzón, Javier Andrés, Daniel José González-Tristancho, and Francy Catalina Espinosa-González. "Impact of changing location and power of a PV system in electrical distribution networks, integrating MATLAB and OpenDSS." DYNA 85, no. 205 (April 1, 2018): 125–31. http://dx.doi.org/10.15446/dyna.v85n205.68846.

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Este artículo presenta el impacto eléctrico de conectar un sistema fotovoltaico (FV) sin almacenamiento a la red de distribución IEEE de 13 nodos, mediante la integración de MATLAB y OpenDSS utilizando un vector de irradiancia fluctuante como entrada para el sistema fotovoltaico. La capacidad de la fuente primaria se reduce a un valor en el que el sistema requiere agregar módulos fotovoltaicos para proporcionar una fuente confiable de electricidad. Los módulos fotovoltaicos se colocan tanto en el nodo fuente como en los nodos afectados por caídas de tensión. Luego, la fuente fotovoltaica se incrementa progresivamente para evaluar las variaciones de tensión al combinar fuentes fotovoltaicas y convencionales. Los resultados mostraron cómo una reducción en la generación afecta los niveles de tensión del sistema y cómo la inclusión de módulos fotovoltaicos ubicados en nodos específicos tiende a recuperar el sistema.
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18

Duque-Escalante, C. E., J. S. Florez-Prada, and J. Blanco-Solano. "A Dynamic Reconfiguration Method based on a Deterministic Optimization Approach in Active Distribution Systems." Renewable Energy and Power Quality Journal 20 (September 2022): 768–72. http://dx.doi.org/10.24084/repqj20.426.

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This article proposes a method for dynamic distribution network reconfiguration (DDNR) with distributed generation for loss reduction. Advantages and conceptual principles of a deterministic optimization method are exposed, which allows the minimization of technical power losses in distribution systems based on a linear approximation of the loads. In this work is proposed the application of this approach for the modelling of distributed generation sources, obtaining a mathematical formulation that exploits mixed-integer nonlinear programming in solving the optimal reconfiguration problem. The DDNR method is implemented in an automatic tool integrating OpenDSS and GAMS software. IEEE69-Bus test system is considered to demonstrate the effectiveness of the technique. Dynamic results are obtained by implementing the optimal reconfiguration strategy, making the dynamic adjustments of the mathematical modelling in the face of variations in distributed generation and demand profiles. The results reveal schemes that range from one to twenty-four daily control actions.
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19

Darbali-Zamora, Rachid, Jay Johnson, Adam Summers, C. Birk Jones, Clifford Hansen, and Chad Showalter. "State Estimation-Based Distributed Energy Resource Optimization for Distribution Voltage Regulation in Telemetry-Sparse Environments Using a Real-Time Digital Twin." Energies 14, no. 3 (February 2, 2021): 774. http://dx.doi.org/10.3390/en14030774.

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Real-time state estimation using a digital twin can overcome the lack of in-field measurements inside an electric feeder to optimize grid services provided by distributed energy resources (DERs). Optimal reactive power control of DERs can be used to mitigate distribution system voltage violations caused by increased penetrations of photovoltaic (PV) systems. In this work, a new technology called the Programmable Distribution Resource Open Management Optimization System (ProDROMOS) issued optimized DER reactive power setpoints based-on results from a particle swarm optimization (PSO) algorithm wrapped around OpenDSS time-series feeder simulations. This paper demonstrates the use of the ProDROMOS in a RT simulated environment using a power hardware-in-the-loop PV inverter and in a field demonstration, using a 678 kW PV system in Grafton (MA, USA). The primary contribution of the work is demonstrating a RT digital twin effectively provides state estimation pseudo-measurements that can be used to optimize DER operations for distribution voltage regulation.
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20

Gwon, DongYeong, YunHyuk Choi, and JunBo Sim. "Development of Voltage Control Algorithm for Improving System Stability in Korean Distribution Grids." Electronics 11, no. 22 (November 9, 2022): 3661. http://dx.doi.org/10.3390/electronics11223661.

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Problems with overvoltage and reverse energy flow arise as the percentage of distribution energy resources (DERs) in distribution system rises. This paper implements a MATLAB/Simulink linked model that communicates with the OpenDSS engine. The point of common coupling (PCC) voltage typically mitigates using the inverter outputs control. However, case overvoltage issues occur in distribution networks and the influence of the volt–var control effect is insufficient to reduce PCC voltage to a stable range. To improve the reactive control effect, this paper proposes active power control and voltage error compensation methods that maximize the reactive power control effect. The DER management system (DERMS) platform was constructed to analyze the effect of changing DER output values. The DERMS data are organized based on real distribution line (D/L) system data where overvoltage occurred in Korea and the control effect of the real system is analyzed. This control method analysis can be used to develop an inverter control scheme for the over voltage issues described in this paper.
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21

Han, Jun, Junhui Huang, Yuefeng Wu, Hong Liu, Zhenjian Xie, He Huang, and Sanrong Gui. "Research on Optimal Access Location and Capacity of MultiStage Multi-Scenario Distributed Power Supply Based on OpenDSS." IOP Conference Series: Earth and Environmental Science 300 (August 9, 2019): 042036. http://dx.doi.org/10.1088/1755-1315/300/4/042036.

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22

Hasan, Ihsan Jabbar, Chin Kim Gan, Meysam Shamshiri, Mohd Ruddin Ab Ghani, and Ismadi bin Bugis. "Optimal Capacitor Allocation in Distribution System Using Particle Swarm Optimization." Applied Mechanics and Materials 699 (November 2014): 770–75. http://dx.doi.org/10.4028/www.scientific.net/amm.699.770.

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Capacitor installation is one of the most commonly used methods for reactive power compensation in the distribution networks. In this paper, the optimum capacitor placement and its sizing has been applied in the distribution network in terms of power losses minimization and voltage profile improvement. The maximum and minimum bus voltage and the maximum possible capacitor size are the constraints of optimum capacitor placement and sizing problem. There are considered as the penalty factor in the objective function. In order to evaluate the obtained objective function, the Particle Swarm Optimization (PSO) is utilized to find the best possible capacitor placement and capacity. The OpenDSS software has then been utilized to solve the power flow through Matlab coding interface. To validate the functionality of the proposed method, the IEEE 13-bus test system is implemented and the obtained results have been compared with the IEEE standard case without capacitor compensation. The results show that the proposed algorithm is more cost effective and has lower power losses as compared to the IEEE standard case. In addition, the voltage profile has been improved, accordingly.
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23

Fan, Li, Lei Wei, and Xin Jian Zhao. "A Hierarchical Control Strategy of Multi-Microgrids." Applied Mechanics and Materials 738-739 (March 2015): 955–61. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.955.

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This paper gives a hierarchical control strategy of multi-microgrids. The hierarchical control structure is made up with microgrid center controller (MGCC), microgrid controller (MC), generator controller (GC), load controller (LC). Controllers recognize the current operation mode of microgrids according to state trigger event and local operation state, realize transition of operation state. Controller is controlled by the upper controller, but once the communication among controllers is interrupted, MC can operate normally according to its local operation state. Thus, the MCs have a certain independence. The simulation platform is built-up by Netlogo for simulation of controller logic and communication coordination mechanism, OpenDSS for modeling distribution network and multi-microgrids, and matlab for data transmission and control optimization. With the simulation platform, this paper analyzed the characteristics of power regulation and different state transitions of multi-microgrids. Through verification, the strategy is available to realize operation state transition of multi-microgrids, guarantee stability of multi-microgrids under every operation state. Besides, compared with centralized control, it has better control effect and it has faster response.
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24

Biasotto, Stephanie Pastorelli, Fernando Guilherme Kaehler Guarda, and Criciéle Castro Martins. "Projeto de rede de distribuição de energia elétrica, mapeamento e estudo de impacto de demanda do campus de Cachoeira do Sul da Universidade Federal de Santa Maria." Ciência e Natura 40 (March 12, 2019): 300. http://dx.doi.org/10.5902/2179460x35534.

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About four years ago, the Campus of the Federal University of Santa Maria, located in the city of Cachoeira do Sul, is active and its activities are done on a provisional basis in properties in the central region and near the center. The Campus is currently in progress with its construction that will receive faculty, students and technical-administrative servers and will start with five undergraduate courses, and they are already in activity in the temporary Campus. An electrical distribution network project consists of improving the functioning of the Campus, taking into account that as it is still under construction, the Campus has provisionally provided electric power. The project proposal will meet the need required by the Campus, the AUTOCAD software will be necessary to carry out the project. Once the power grid project is obtained, a mapping and power flow modeling will be performed by the OPENDSS software and demand, and what will be the impacts of this new demand on the electric system in the region.
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Alzaidi, Khalid Mohammed Saffer, Oguz Bayat, and Osman N. Uçan. "Multiple DGs for Reducing Total Power Losses in Radial Distribution Systems Using Hybrid WOA-SSA Algorithm." International Journal of Photoenergy 2019 (March 31, 2019): 1–20. http://dx.doi.org/10.1155/2019/2426538.

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Distributed generators (DGs) are currently extensively used to reduce power losses and voltage deviations in distribution networks. The optimal location and size of DGs achieve the best results. This study presents a novel hybridization of new metaheuristic optimizations in the last two years, namely, salp swarm algorithm (SSA) and whale optimization algorithm (WOA), for optimal placement and size of multi-DG units in radial distribution systems to minimize total real power losses (kW) and solve voltage deviation. This hybrid algorithm is implemented on IEEE 13- and 123-node radial distribution test systems. The OpenDSS engine is used to solve the power flow to find the power system parameters, such power losses, and the voltage profile through the MATLAB coding interface. Results describe the effectiveness of the proposed hybrid WOA-SSA algorithm compared with those of the IEEE standard case (without DG), repeated load flow method, and WOA and SSA algorithms applied independently. The analysis results via the proposed algorithm are more effective for reducing total active power losses and enhancing the voltage profile for various distribution networks and multi-DG units.
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Moreira Rodrigues, Carlos Eduardo, Maria Emilia de Lima Tostes, Ubiratan Holanda Bezerra, Thiago Mota Soares, Edson Ortiz de Matos, Lázaro Serra Soares Filho, Elaine Cristina dos Santos Silva, Michel Ferreira Rendeiro, and Carlos Jeferson da Silva Moura. "Technical Loss Calculation in Distribution Grids Using Equivalent Minimum Order Networks and an Iterative Power Factor Correction Procedure." Energies 14, no. 3 (January 27, 2021): 646. http://dx.doi.org/10.3390/en14030646.

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Energy losses are a fundamental issue in the electricity distribution sector, being an inevitable consequence of transporting energy from supplying sources to consumers’ installations and are becoming one of the factors to be considered in planning and operation of electrical distribution networks. So, electrical distribution losses must be continuously monitored so that they are kept within acceptable levels to ensure the business profitability as well as the good power quality of supplied energy. In this context, this work introduces a modified methodology for technical losses calculation with the application of the concept of reduced equivalent networks, via definition of an Equivalent Operational Impedance, taking as a starting point the electrical network modeling in the Open Distribution System Simulator (OpenDSS). The losses calculation also considers customer’s energy billing measurement data, measurements of injected energy and power factor at the feeder’s coupling bus at the substation, also considering measurement campaigns to characterize the load consumption profiles for working days, Saturdays and Sundays. The proposed methodology disaggregates energy injections in billed energy, technical and non-technical losses parcels, and presents, as the results have demonstrated, a good precision in the proposed calculation procedures.
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Lee, Hyeong-Jin, Kwang-Hoon Yoon, Joong-Woo Shin, Jae-Chul Kim, and Sung-Min Cho. "Optimal Parameters of Volt–Var Function in Smart Inverters for Improving System Performance." Energies 13, no. 9 (May 6, 2020): 2294. http://dx.doi.org/10.3390/en13092294.

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This paper proposes a method to improve the performance of a distribution system by optimizing volt–var function of a smart inverter to alleviate the voltage deviation problem due to distributed generation connection. In order to minimize voltage deviation and line losses which represent the performance of a distribution system, this paper proposes an algorithm that optimally sets the parameters of the volt–var function. In the process of optimizing the parameters of the volt–var function, the algorithm proposed in this paper considers minimizing the contribution of the reactive power in order not to affect the output of the distributed generation. In order to apply to the field, the distribution system in South Korea considering the configuration and operation regulation was selected as a test model for algorithm verification. As a result, the system performance was successfully improved by optimally setting the volt–var function of the smart inverter which is an effective way to solve the over-voltage problem caused by distributed generation connection. This paper verified the proposed method through OpenDSS, a quasi-static time-series simulation, for the test model considering the characteristics of the distribution system in South Korea.
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28

Kim, Youngil, Manef Bourogaoui, Azeddine Houari, and Hyeok Kim. "Comprehensive Approach to Mitigating Solar Photovoltaic Power Penetration Effects in a Microgrid." International Transactions on Electrical Energy Systems 2022 (October 10, 2022): 1–19. http://dx.doi.org/10.1155/2022/3568263.

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High solar photovoltaic (PV) penetration in the electrical grid can result in undesired effects on the voltage quality, leading to line loss and voltage magnitude increases. One of the main criteria to ensure the safe penetration of high-power solar systems in the main grid is maintaining an acceptable voltage magnitude when a disturbance occurs (e.g., 0.95 and 1.05 per unit) with respect to total installed power generation capacity of PV power plants. This manuscript analyzes the effects of high solar PV penetration per unit of voltage stability using the Fast Voltage Stability Index and total power loss. Moreover, we investigate the flexibility benefits of coordinated voltage control based on a smart inverter of solar PV capacitor banks (SI-CBs) under five cases in a typical microgrid (MG) test model. For the test of the SI-CBs, MG modeling is developed on a modified IEEE 123 test feeder, which includes 11 building load solar PVs with smart inverters and capacitor banks with real-time data from an area in Los Angeles, California, USA. The simulation results are presented to validate the effectiveness of the proposed approach using a real-time MATLAB interface to the Open Distribution System Simulator (OpenDSS).
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Gabdullin, Yesbol, and Brian Azzopardi. "Impacts of Photovoltaics in Low-Voltage Distribution Networks: A Case Study in Malta." Energies 15, no. 18 (September 14, 2022): 6731. http://dx.doi.org/10.3390/en15186731.

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Photovoltaic systems (PVs) are promising low-carbon technologies playing a major role in the electricity business. In terms of voltage variation and feeder usage capacity, high PV penetration levels have significant technical implications for grid stability, particularly in Low Voltage (LV) networks. This paper presents a comprehensive PV integration analysis on real-life residential LV networks in Malta using recorded smart metering data. The methodology framework and tools developed are highlighted through step-by-step results on their usefulness. First, at the substation level, an LV network with seven LV feeders is analyzed using Monte Carlo simulations and OpenDSS. Then, Cumulative Distribution Functions (CDFs) are extracted to establish the likelihood of LV network challenges. Afterwards, 95 multi-feeder analyses assess the impact assessment on the first occurrence of LV network challenges and predominant issues. Finally, a Regression Analysis Tool, considering the regression’s standard error, is built for seven feeder characteristics to predict the impacts. The stochastic processes reveal strong relationships with feeder characteristics that are helpful for network planning and operations. However, the Maltese grid currently has less than 20% PV penetration at any LV feeder. Hence, significant technological hurdles are absent.
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30

Kongjeen, Yuttana, Krischonme Bhumkittipich, and Nadarajah Mithulananthan. "Optimal DG Sizing and Location in Modern Power Grids using PEVs Load Demand Probability." ECTI Transactions on Electrical Engineering, Electronics, and Communications 17, no. 1 (September 9, 2019): 51–59. http://dx.doi.org/10.37936/ecti-eec.2019171.215410.

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The integration of plug-in electric vehicles (PEVs) to the conventional distribution system has had a major impact upon consumption of energy in the past year. This paper presents optimal distributed generator (DG) sizing and location in the power system using PEVs load demand probability. The MATLAB m-file scripts and OpenDSS were applied to solve the proposed study by varying the percentage penetration level of PEVs. A genetic algorithm optimization technique was used to find the best solution of DG installation. The simulation results showed thatthe PEVs were directly connected to the power grid with 100 PEVs (13.84%), 200 PEVs (27.68%) and 500 PEVs (69.19%), respectively. It was found that the DG sizing also varied with 1.773 MW, 1.663 MW and 1.996 MW, respectively. While the position of the DG also changes according to the sizing of DG. The position of DG was installed at bus No.738, bus No.741 and bus No.711, respectively. Therefore, the optimal DG placement helped to improve and reduce the total line loss and total energy demand from the power grid. The grid increased the power system stability and reduced the impact from the large scale of PEV penetration.
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Pereira, Jorge Luiz Moreira, Adonis Ferreira Raiol Leal, Gabriel Oliveira de Almeida, and Maria Emília de Lima Tostes. "Harmonic Effects Due to the High Penetration of Photovoltaic Generation into a Distribution System." Energies 14, no. 13 (July 4, 2021): 4021. http://dx.doi.org/10.3390/en14134021.

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The growth in global electricity demand has expanded the search for new energy resources. Renewable sources such as photovoltaic (PV) systems have proven to be major alternatives. PV generators connected to distribution grids have exhibited significant growth in the last decade, so it is essential to analyse the impacts resulting from this increase. This work investigated the influence of high PV system penetration in distribution grids in terms of harmonic levels. In particular, this study addressed the distortions in voltage and current waveforms in the presence and absence of PV generators connected to a distribution grid. Additionally, the total harmonic content and the individual harmonic frequencies of voltage and current were analysed. This study was performed with an IEEE 37 bus distribution system and the Open Distribution System Simulator software (OpenDSS). The results show that the voltage limits of some phases far away from a substation can exceed the limits. Furthermore, the total harmonic distortion (THD) and individual harmonic distortion (IHD) levels for voltage and current were significantly high for harmonics of the 3rd, 5th, and 7th orders, where current levels violate the standard levels.
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32

Soares, R. M., M. E. Oliveira, M. A. A. Freitas, G. P. Viajante, and E. N. Chaves. "Loss Analysis Due to Influence of Harmonics in a Distribution System." Renewable Energy and Power Quality Journal 19 (September 2021): 402–6. http://dx.doi.org/10.24084/repqj19.304.

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The electrical system is subject to rules to guarantee a standard, where several factors can reduce its quality. This can lead to undesirable consequences, such as increased electrical losses in the distribution. As the technology advances and the constant presence of non-linear loads, the electrical network is subject to harmonic distortions that increase the effective value of the current, resulting in inconvenient effects, such as increased losses. In another words, a bigger fraction of the energy is lost by Joule effect and a smaller fraction came to the final consumers. In Brazil, the regulatory agency, in its recommendations, does not consider the effect of harmonic components, obtaining lower results for losses. So, to analyze the influence of these distortions on the operation of a distribution network, simulations were done with the test system LVTestCaseNorthAmerican, with 390 buses. Three distinct climatic cases were analysed, each with a load shape generated from fuzzy logic, all considering the presence of non-linear loads. The simulations were made in OpenDSS, and the losses demonstrated for the three situations. Finally, the importance of considering these distortions in the calculation of losses is discussed.
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33

Bozalakov, Dimitar V., Joannes Laveyne, Mohannad J. Mnati, Jan Van de Vyver, and Lieven Vandevelde. "Possible Power Quality Ancillary Services in Low-Voltage Grids Provided by the Three-Phase Damping Control Strategy." Applied Sciences 10, no. 21 (November 6, 2020): 7876. http://dx.doi.org/10.3390/app10217876.

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The share of renewable energy is increasing because of environmental concerns and favorable economic conditions. The majority of the distributed energy resources, connected to the low-voltage grid, are inverter-connected units. These inverters are controlled by using specially developed control strategies to determine the power injection between the primary source and the grid. In the past, the connection of distributed energy resources was based on the connect-and-forget principle, but this approach leads to severe power quality problems. Nowadays, more sophisticated control strategies need to be developed, so that ancillary services can be provided to the distribution system operator, which will allow further increase of renewable share in the distribution grids. This article examines the technical capabilities of the three-phase damping control strategy to provide ancillary services to the distribution system operator. Besides the three-phase damping control strategy, the article also compares the classical positive-sequence control strategy. Active power drooping and reactive power exchange are combined with these control strategies and the effect on the annual energy production, power quality, and grid performance is assessed. The simulations are conducted on a Matlab/OpenDSS platform in a time series simulations.
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Guerra, Gerardo, and Juan A. Martinez-Velasco. "A review of tools, models and techniques for long-term assessment of distribution systems using OpenDSS and parallel computing." AIMS Energy 6, no. 5 (2018): 764–800. http://dx.doi.org/10.3934/energy.2018.5.764.

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35

Batista, Maria Rita, and Marcelo Escobar de Oliveira. "Inserção de Veículos Elétricos em um Sistema de Distribuição de Energia Elétrica." Caderno de Propriedade Intelectual e Transferência de Tecnologia 2, no. 2 (December 31, 2020): 85–96. http://dx.doi.org/10.21166/cpitt.v2i2.2026.

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Devido a incentivos ambientais e econômicos, o uso de veículos elétricos (VEs) tem aumentado em todo o mundo. Os carros elétricos são cargas do tipo resistiva devido à presença de baterias e, quando possuem o formato plug-in, o seu carregamento pode ser dado de duas formas: em postos de recarga e/ou residências. Esses veículos podem atuar tanto como fonte de carga (G2V) quanto fonte de energia (V2G). Neste sentido, são fundamentais análises para determinar problemas e soluções decorrentes da presença desses automóveis na rede elétrica. Assim, este trabalho analisa as consequências da presença da carga dos VEs no sistema elétrico, em situações que afetam as perdas elétricas do sistema. Para realização destas análises, um sistema real brasileiro é simulado no software OpenDSS e são analisados 3 cenários, considerando VEs na curva de carga típica residencial como fonte de energia e/ou fonte de carga. Como objeto de estudo será distribuído no sistema cargas de 4515 VEs e com os resultados obtidos nas simulações, buscou-se realizar análises a fim de verificar o comportamento da rede de forma geral, comparando as perdas de energia de todo o sistema de um dia sem VEs e o mesmo dia com os automóveis.
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Satya, Gowthami Thimmapathruni Venkata, and Chennapragada Venkata Krishna Bhanu. "Economic dispatch of an islanded microgrid." International Journal of Applied Power Engineering (IJAPE) 11, no. 3 (September 1, 2022): 199. http://dx.doi.org/10.11591/ijape.v11.i3.pp199-208.

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Microgrids are increasingly becoming popular to improve energy access and increase the resiliency of weakly connected rural networks. The economic operation of these microgrids with renewable energy resources is key for maximizing the benefits. The objective of this paper is to implement the economic dispatch of a microgrid using quadratic programming, considering the active and reactive power capability of the renewable energy resources. The open distribution system simulator (OpenDSS) is used for obtaining the load flow of the distribution network, and the converged solution is given as input to MATLAB for optimization. The simulation is carried out for one day with a variation of hourly load, solar PV radiation, and wind in both grid-connected and islanded modes under six different cases. The methodology is implemented on a modified IEEE-13 node test feeder distribution system. The simulation result shows that the microgrid with distributed generation (DG) capable of supplying both active and reactive power under islanded conditions is economical when compared to the grid-connected mode. The novelty of the work is that it considers the capability of distributed generation to supply both active and reactive power. That can make it fully autonomous as it can meet the hourly load requirement of the network under islanding mode as per IEEE Standard 1547.4.
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Montenegro, Davis, and Roger Dugan. "Simplified A-Diakoptics for Accelerating QSTS Simulations." Energies 15, no. 6 (March 11, 2022): 2051. http://dx.doi.org/10.3390/en15062051.

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The spread of distributed energy resources (DERs) across the distribution power system demands complex planning studies based on quasi-static-time-series (QSTS) simulations, requiring a significant amount of computing time to complete, leading planners to look for alternatives to QSTS. Diakoptics based on actors (A-Diakoptics) is a technique for accelerating simulations combining two computing techniques from different engineering fields: diakoptics and the actor model. Diakoptics is a mathematical method for tearing networks, reducing their complexity by using smaller subcircuits that can be solved independently. The actor model is used to coordinate the interaction between these subcircuits and their control actions, given the pervasive inconsistency that can be found when dealing with large-scale models. A-Diakoptics is a technique that simplifies the power flow problem for improving the simulation time performance, leading to faster QSTS simulations. This paper presents a simplified algorithm version of A-Diakoptics for modernizing sequential power simulation tools to use parallel processing. This simplification eliminates critical points found in previous versions of A-Diakoptics, improving the performance of the algorithm and facilitating its implementation to perform QSTS simulations. The performance of the new version of A-Diakoptics is evaluated by its integration into EPRI’s open-source simulator OpenDSS, which uses standard computing architectures and is publicly available.
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Raheem, Adnan Ahmed Abdul, and Wadhah Esmaeel Ibraheem. "Highway wind power energy assessment of Al-Durra highway street in Baghdad, Iraq." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 4 (December 1, 2020): 2055. http://dx.doi.org/10.11591/ijpeds.v11.i4.pp2055-2061.

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In certain spots on the planet which have less attainable of utilizing enormous breeze power plants, the expressway wind vitality can be utilized to help little loads in the main grids. Interstates road lighting for instance of that heaps that is expending a great deal of vitality and cost every year. When the vitality that originates from vehicles development along the highway avenues can be taken in thought, this paper has examined the outcomes if moment vehicles wind speed during 24 hours per day. 24 hours, brief interim of vehicles wind speeds have been estimated by utilizing anemometer put in the road. A vertical pivot wind turbine (VAWT) has been proposed to be utilized in this task. All venture regulation has been simulated by utilizing Opendss program; it can support time series simulation. The outcomes demonstrated that the undertaking is possible to be utilized in Al-Durra Highway Street. The normal breeze speed of moving vehicles is 4.7 m/s which can deliver 67.3 watt by the proposed turbine. The got energy saw that it as contributed to be utilized by the maingrid during the day time. All the demonstrated bends of the outcomes speak to the Iraq grid support by diminishing the main demand and operational expenses too.
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39

de Negreiros, Gustavo Fernandes, Fábio Xavier Lobo, Igor Cavalcante Torres, and Chigueru Tiba. "Impact on Voltage Regulation in Medium Voltage Distribution Networks Due to the Insertion of Photovoltaic Generators." Energies 16, no. 3 (January 26, 2023): 1307. http://dx.doi.org/10.3390/en16031307.

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The objective of this paper was to analyze the impacts caused by the operation of voltage regulators in electrical distribution networks and to evidence the number of operations in the face of short-duration voltage variation caused by the high intermittency of the connected PV generators. A real LV and MV feeder was used, modeled in OpenDSS software, based on normative standards, adjustments, and technical maneuvers strategically used by the local utility. The analyses considered the temporal variations for the photovoltaic generators and different load demand profiles connected to the feeder. The feeder was submitted to the demand curves varying the load percentage, framing it in high and conventional (nominal) load according to the profiles of consumers and prosumers connected. The simulations made it possible to observe the exacerbated elevation in the number of maneuvers performed by the voltage regulators of the network. The single-phase voltage regulators stood out by the elevation of control operations, causing premature wear of the PV generation equipment connected to the most loaded phase. It was observed that discrepancies in the power flow in the lines and the voltage levels at the busbars. The creation of strategies and decisions to correct these impacts caused to transformers and regulators is possible.
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40

Lechón, Luis, Mauricio Samper, and Gustavo Barón. "Aplicación para la evaluación técnica de la “capacidad de inserción de generación distribuida” en redes eléctricas de distribución." Revista Técnica "energía" 17, no. 2 (January 27, 2021): 102–12. http://dx.doi.org/10.37116/revistaenergia.v17.n2.2021.412.

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El incremento de la instalación de Generación Distribuida (GD) puede traer beneficios a la operación de las redes de distribución, cuando las unidades son correctamente ubicadas y dimensionadas. Por el contrario, al presentarse una excesiva penetración de GD en ubicaciones inadecuadas puede conllevar problemas en los límites operacionales. En este artículo se presenta una aplicación (herramienta computacional) sistematizada para evaluar la capacidad máxima de GD que se puede conectar a una red, garantizando la operación efectiva dentro de los parámetros de calidad preestablecidos. La misma ha sido desarrollada en software libre: Python y un Simulador de Sistemas de Distribución (OpenDSS). En particular, la herramienta crea generadores fotovoltaicos (PVSystem) y los conecta en diferentes ubicaciones bajo dos alternativas: en barras seleccionadas aleatoriamente o en un listado de barras ingresadas por el usuario. El usuario (planificador) puede determinar: la cantidad de barras que puede conectarse GD, el porcentaje de inserción y el número de días de evaluación (N casos de Montecarlo). Además, la herramienta permite simular la incertidumbre en la demanda y la generación. En los diferentes modos de simulación se evalúan corrientes por las líneas y voltajes en las barras, que reflejan el desempeño de la red; además de las pérdidas de energía e índices de distorsión armónica. La herramienta presenta resultados gráficos y numéricos en pantallas emergentes y crea un informe en formato *.csv.
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41

Liu, Qitao. "A Random Matrix Model of Business Administration Based on Business Process Orientation in Market Economic Environment." Mathematical Problems in Engineering 2022 (August 26, 2022): 1–12. http://dx.doi.org/10.1155/2022/3131110.

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The optimization of business management strategy is a research hotspot in the field of resource processing under the market economy environment. Based on the theory of business process orientation, this paper constructs a reactive power optimization method of random matrix for business management and verifies the correctness and effectiveness of the method through an example. The random matrix construction method of enterprise management network and the feature extraction method that can reflect the operating state of the system are optimized, and the conflict problem in the process of enterprise management resource competition is solved. In the process of OpenDSS/Matlab cosimulation, the business management network state data and random matrix index data are processed by means of statistical modeling and feature extraction, and the random Petri net technology is used to construct a continuous time random matrix. The experimental results show that, combined with the verification of the business management network simulation model of the transformed IEEE-37 node, the traditional optimization method takes 96.63 s, while the business process-oriented scene matching method takes 1.32 s, which shows that the business process-oriented method constructed in this paper takes 96.63 s. The business management random matrix has obvious advantages in optimizing the operation speed, which verifies the accuracy, feasibility, and rapidity of the method and effectively improves the performance of the system.
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42

Sa’ed, Jaser A., Zakariya Wari, Fadi Abughazaleh, Jafar Dawud, Salvatore Favuzza, and Gaetano Zizzo. "Effect of Demand Side Management on the Operation of PV-Integrated Distribution Systems." Applied Sciences 10, no. 21 (October 27, 2020): 7551. http://dx.doi.org/10.3390/app10217551.

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In this new era of high electrical energy dependency, electrical energy must be abundant and reliable, thus smart grids are conducted to deliver load demands. Hence, smart grids are implemented alongside distributed generation of renewable energies to increase the reliability and controllability of the grid, but, with the very volatile nature of the Distributed Generation (DG), Demand Side Management (DSM) helps monitor and control the load shape of the consumed power. The interaction of DSM with the grid provides a wide range of mutual benefits to the user, the utility and the market. DSM methodologies such as Conservation Voltage Reduction (CVR) and Direct Load Control (DLC) collaborate in the reduction of plant generation and reciprocally to the comprehensive cost. The aim of this paper is to investigate the effects caused by the implementation of DSM on the operation of PV-integrated distribution systems. The algorithms of CVR, DLC and the combination of CVR and DLC were implemented using OpenDSS and MATLAB. The effectiveness of the aforementioned schemes was verified on IEEE 30-Bus test system. Various possible integration scenarios between Photovoltaic (PV) and DSM schemes are illustrated. The optimal integration of such schemes constraining the reduction of energy consumed by the user and utility is presented. The results show that the implemented DSM algorithms provide a noticeable reduction in energy losses and reduction in consumed energy.
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43

Parreira, P., A. Rosentino, D. B. Rodrigues, M. R. Castillo, F. Moura, M. Mendonca, N. Tolentino, et al. "Influence Analysis of Photovoltaic and Energy Storage Systems in a Distributions System in the Context of Permanent Regime Voltage using the Opendss." Renewable Energy and Power Quality Journal 18 (June 2020): 298–303. http://dx.doi.org/10.24084/repqj18.306.

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Li, Wei, Mengjun Li, Ning Zhang, Xuesong Zhou, Jiegui Zhou, and Guanyu Song. "Optimizing Allocation of Distributed Electric Heating for Large-Scale Access Distribution Considering the Influence of Power Quality." Energies 15, no. 10 (May 13, 2022): 3587. http://dx.doi.org/10.3390/en15103587.

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In this paper, a dual-layer grid comprehensive resource optimizing allocation model is proposed, which considers power quality controlling and load optimization scheduling under large-scale application of distributed electric heating. The upper-layer planning aims to minimize the active power loss of the distribution network, the minimum voltage deviation, and the minimum investment cost of the power quality control device. The capacity configuration of the management device and the number and location of the commutation switch configuration were determined. The lower layer is load optimization scheduling, with the minimum number of action switches and the minimum three-phase imbalance as the planning goals, and the decision variable is the state of the commutation switch. By co-simulation through Matlab and OpenDSS, the improved particle swarm algorithm and genetic algorithm are used for multi-objective optimization and the solution. In this way, the capacity configuration of reactive power compensation and active filter, as well as the installation position and switch state of the commutation switch are optimized and managed. Finally, taking the rural low-voltage distribution network in the Tongzhou District as an example, simulations considering the variation in the distributed electric heating penetration rate in the range of 20–80% are carried out. The calculation example results show that the proposed algorithm is effective, can effectively improve the power factor, reduces the harmonic content of the distribution network and the three-phase unbalance, and significantly improves the distribution network voltage.
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Gerez, Cassio, Eduardo Coelho Marques Costa, and Alfeu J. Sguarezi Filho. "Distribution Network Reconfiguration Considering Voltage and Current Unbalance Indexes and Variable Demand Solved through a Selective Bio-Inspired Metaheuristic." Energies 15, no. 5 (February 24, 2022): 1686. http://dx.doi.org/10.3390/en15051686.

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Operation of distribution networks involves a series of criteria that should be met, aiming for the correct and optimal behavior of such systems. Some of the major drawbacks found when studying these networks is the real losses related to them. To overcome this problem, distribution network reconfiguration (DNR) is an efficient tool due to the low costs involved in its implementation. The majority of studies regarding this subject treat the problem by considering networks only as three-phase balanced, modeled as single-phase grids with fixed power demand, which is far from representing the characteristics of real networks (e.g., unbalanced loads, variable power and unbalance indexes). Due to the combinatorial nature of the problem, metaheuristic techniques are powerful tools for the inclusion of such characteristics. In this sense, this paper proposes a study of DNR considering balanced and unbalanced systems with variable power demand. An analysis of the direct influence of voltage unbalance index (VUI) and current unbalance index (CUI) is carried out for unbalanced cases. To solve the DNR problem, a selective bio-inspired metaheuristic based on micro bats’ behavior named the selective bat algorithm (SBAT) is used together with the EPRI-OpenDSS software (California, US, EPRI). Tests are initially conducted on balanced systems, aiming to validate the technique proposed for both demands and state their differences, and then they are conducted on unbalanced systems to study the influence of VUI and CUI in the DNR solution.
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46

Uruel-Sanz, Julia, and Oscar Perpiñán-Lamigueiro. "Power Flow Analysis in Urban Distribution Networks with Implementation of Grid-Connected Photovoltaic Systems." Solar 2, no. 1 (February 21, 2022): 32–51. http://dx.doi.org/10.3390/solar2010003.

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In the last few years, renewable energies became more socially and economically relevant, and among them, photovoltaic systems stand out. Residential self-consumption of electricity is a field with great potential, and implementation of grid-connected photovoltaic systems (GCPS) is in full rise. The installation of distributed generation systems in residential environments could alter the performance of low-voltage distribution networks, since these are designed for unidirectional power flow and adding these generators means fluctuations in power-flows. For these reasons, a study of the fundamental magnitudes of three low-voltage distribution networks located in Madrid was made for various photovoltaic penetration rates, making use of simulations via the software OpenDSS and subsequent analysis of results. The research concludes that, among other aspects, GCPS produce load flow variations that are dependent on: the penetration rates; the distance from the point of interest and the distribution transformer, increasing the voltage variation between the most productive hours and the night hours with that distance; and on the rate between consumption and generation, so that when it diminishes, the self-sufficiency of the system increases, and with it the voltage of all the buses that tend to the rated voltage. Moreover, there are wide seasonal fluctuations: specifically, in summer months, generation profiles override consumption fluctuations, while in winter months consumption guides voltage and power profiles. Both the code implemented and the results of the analysis were published in an open source website using a free software license.
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47

Prabpal, Prakasit, Yuttana Kongjeen, and Krischonme Bhumkittipich. "Optimal Battery Energy Storage System Based on VAR Control Strategies Using Particle Swarm Optimization for Power Distribution System." Symmetry 13, no. 9 (September 14, 2021): 1692. http://dx.doi.org/10.3390/sym13091692.

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We designed a battery energy storage system (BESS) based on the symmetrical concept where the required control is by the symmetrical technique known as volt/var control. The integration of BESS into the conventional distribution has significantly impacted energy consumption over the past year. Load demand probability was used to investigate optimal sizing and location of BESS in an electrical power system. The open electric power distribution system simulator (OpenDSS) was interfaced with MATLAB m-file scripts and presented by using time series analysis with load demand. The optimal BESS solution was adapted by using a genetic algorithm (GA) optimization technique and particle swarm optimization (PSO). The simulation results showed that the BESS was directly connected to the power grid with GA and PSO, and it was observed that BESS sizing also varied for these two values of 1539 kW and 1000 kW, respectively. The merit of those values is the power figure of the system, which is necessary for installation. Therefore, optimal sizing and location of the BESS are helpful to reduce the impact from the load demand to the total system loss and levelling of the energy demand from the power system network. The integration of the BESS can be applied to improve grid stability and store surplus energy very well. The grid increased the stability of the power system and reduced the impact from the large scale of BESS penetration.
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Korab, Roman, Marcin Połomski, and Marcin Smołka. "Evaluating the Risk of Exceeding the Normal Operating Conditions of a Low-Voltage Distribution Network due to Photovoltaic Generation." Energies 15, no. 6 (March 8, 2022): 1969. http://dx.doi.org/10.3390/en15061969.

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Connecting photovoltaic micro-installations to a low-voltage network changes the operating conditions of the network. As a result, in certain situations, the permissible operating limits may be periodically exceeded. The risk of exceeding the normal operating conditions of the network depends on multiple factors, including the installed capacity of the photovoltaic sources. In this article, we use a time-series method to determine the annual risks of exceeding the bus voltage limits, the rated current of the lines and transformer, and the acceptable limit of the negative sequence component of bus voltage, as well as the risk of a reverse flow occurring, and the risk of energy losses increasing. We calculate these risks for different levels of penetration of the photovoltaic sources, different divisions of the rated power of the photovoltaic sources between individual phases, and different consumer load profiles. We perform calculations on a CIGRE test network using OpenDSS and statistical meteorological data for the Katowice (Poland) weather station. The results obtained indicate that connecting photovoltaic micro-installations to a low-voltage network has the greatest impact on the risk of reverse flow occurring and the risk of energy losses increasing. In addition, the risk of overvoltage and branch overload increases substantially. The method we present allows one to determine the value of the hosting capacity of a given low-voltage network, ensuring that the assumed risk of exceeding the normal operating conditions of the network is retained.
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Wang, Yue, David Infield, and Simon Gill. "Smart charging for electric vehicles to minimise charging cost." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 231, no. 6 (January 23, 2017): 526–34. http://dx.doi.org/10.1177/0957650916688409.

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This paper assumes a smart grid framework where the driving patterns for electric vehicles are known, time variations in electricity prices are communicated to householders, and data on voltage variation throughout the distribution system are available. Based on this information, an aggregator with access to this data can be employed to minimise electric vehicles charging costs to the owner whilst maintaining acceptable distribution system voltages. In this study, electric vehicle charging is assumed to take place only in the home. A single-phase Low Voltage (LV) distribution network is investigated where the local electric vehicles penetration level is assumed to be 100%. Electric vehicle use patterns have been extracted from the UK Time of Use Survey data with a 10-min resolution and the domestic base load is generated from an existing public domain model. Apart from the so-called real time price signal, which is derived from the electricity system wholesale price, the cost of battery degradation is also considered in the optimal scheduling of electric vehicles charging. A simple and effective heuristic method is proposed to minimise the electric vehicles’ charging cost whilst satisfying the requirement of state of charge for the electric vehicles’ battery. A simulation in OpenDSS over a period of 24 h has been implemented, taking care of the network constraints for voltage level at the customer connection points. The optimisation results are compared with those obtained using dynamic optimal power flow.
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Sánchez Silvera, Alfredo, José Guillermo Guarnizo-Marín, Edwin Francisco Forero-García, and Davis Montenegro-Martínez. "Sistema de gestión de energía descentralizado basado en multiagentes para operación de múltiples microrredes." TecnoLógicas 24, no. 51 (June 9, 2021): e1880. http://dx.doi.org/10.22430/22565337.1880.

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Abstract:
En años recientes, las microrredes han logrado un considerable desarrollo debido a que representan una alternativa técnica para responder a contingencias en la red de distribución, como también a incrementar el nivel de generación distribuida, entre otros beneficios. Por tal motivo, el presente artículo presenta un modelo de gestión energética basado en sistemas multiagentes para microrredes que operan en modo isla. El objetivo de esta investigación es el diseño de un sistema multiagente que permita gestionar el funcionamiento de un conjunto de microrredes distribuidas en un entorno aislado, además de mantener la correcta conexión con el bus común que une todas las microrredes, el sistema multiagente debe evitar sobrecargas y descargas profundas en las baterías. La metodología implementada es de tipo empírico analítica, la simulación comienza con una revisión del estado del arte, en búsqueda de una estrategia que permita coordinar un sistema de microrredes compuesto, donde estas están conectadas al mismo sistema de distribución operando en modo isla. La simulación del sistema se realizó mediante OpenDSS-G y Python. Los resultados obtenidos sugieren que un sistema de gestión de energía descentralizado, basado en la teoría de sistemas de agentes múltiples, puede tener importantes beneficios como, por ejemplo, el carácter autónomo de las microrredes para la generación de energía en zonas no interconectadas. Finalmente, con la teoría de multiagente se pueden crear sistemas de generación distribuida más confiables debido a su capacidad autónoma de toma de decisiones, para cubrir demandas eléctricas desde microrredes vecinas y conjuntamente prevenir sobrecargas y profundas descargas en las baterías.
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