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1

Huang, Jing, and Kui Wu. "Energy Optimal Scheduling Method of Microgrid with Wind and Solar Storage Based on Demand Response." Journal of Physics: Conference Series 2503, no. 1 (2023): 012017. http://dx.doi.org/10.1088/1742-6596/2503/1/012017.

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Abstract In the operation of a microgrid with wind and light storage, energy dispatching will directly affect its operating cost, which is a core technology of microgrid operation. This paper designs an energy optimization method for a microgrid with wind and solar storage based on demand response to realizing more scientific micro-power energy scheduling. Considering the wind-solar storage microgrid’s lowest demand response cost and other comprehensive costs, an energy-optimal scheduling model of the wind-solar storage microgrid is constructed. The model sets the constraints of energy storage
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2

Hou, YiSen, and Yan Yan. "Optimized wind-light-storage configuration based on Homer pro." Journal of Physics: Conference Series 2303, no. 1 (2022): 012037. http://dx.doi.org/10.1088/1742-6596/2303/1/012037.

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Abstract With the increasing shortage of energy and increasing demand for electricity, renewable energy microgrids have become the future trend of power grids. However, due to the strong uncertainty of its power generation, improving the stability of power system operation and reducing the cost of microgrid configuration have become important issues for the optimization of microgrid configuration. To address the above problems, this paper proposes a wind-light storage system, and establishes a model for optimal allocation of microgrid capacity with the minimum net present value of this system
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3

Bayasgalan, Zagdkhorol, and Munkhtuya Erdenebat. "Realization of Fuzzy Logic Controller in Microgrid for Mongolian case." Embedded Selforganising Systems 9, no. 1 (2022): 15–19. http://dx.doi.org/10.14464/ess.v9i1.511.

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 This paper presents the development and simulation of photovoltaic (PV), wind turbine and battery energy storage system (BESS) based microgrid in a Mongolian case. Although many standalone solar and wind microgrids are installed in Mongolia, they are not operating at total capacity and reliably due to a lack of control and proper use. The microgrid system operates in autonomous mode to serve the loads. To effectively control the microgrid voltage and frequency and achieve smoother power flow control between the generation and consumption, voltage–frequency (V/F) control ba
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4

Yu, Changle, Shuo Zhang, Yanchen Ji, and Peng Xu. "Research on the construction of new energy microgrids for wind power generation based on green and low carbon." Journal of Physics: Conference Series 2427, no. 1 (2023): 012013. http://dx.doi.org/10.1088/1742-6596/2427/1/012013.

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Abstract At present, the supply mode of fossil fuel as energy in China has caused more and more damage to the environment. In order to meet the demand for sustainable development, research on the construction of new energy microgrids for wind power generation based on green and low-carbon is proposed. Firstly, the equivalent model of the wind power generation system is established, and then the wind power generation new energy microgrid with a wind turbine as the core is built based on the specific value calculated by the model. Finally, the conventional new energy microgrid construction schem
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5

Ghorbani, Sajad, Rainer Unland, Hassan Shokouhandeh, and Ryszard Kowalczyk. "An Innovative Stochastic Multi-Agent-Based Energy Management Approach for Microgrids Considering Uncertainties." Inventions 4, no. 3 (2019): 37. http://dx.doi.org/10.3390/inventions4030037.

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In microgrids a major share of the energy production comes from renewable energy sources such as photovoltaic panels or wind turbines. The intermittent nature of these types of producers along with the fluctuation in energy demand can destabilize the grid if not dealt with properly. This paper presents a multi-agent-based energy management approach for a non-isolated microgrid with solar and wind units and in the presence of demand response, considering uncertainty in generation and load. More specifically, a modified version of the lightning search algorithm, along with the weighted objective
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Hang, Zhao Zi. "Optimal Scheduling of DC Microgrids based on MOPSO Algorithm." Scholars Journal of Engineering and Technology 11, no. 03 (2023): 45–52. http://dx.doi.org/10.36347/sjet.2023.v11i03.005.

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The DC microgrid system contains a variety of distributed power sources, but the distributed power sources are uncertain and intermittent. In order to improve the economy of DC microgrid operation, mainly to reduce the microgrid operation cost and environmental management cost, and at the same time the largest proportion of scenery consumption, the optimization algorithm is effective for microgrid for optimal scheduling. A multi-objective optimal scheduling model for microgrids is established. A microgrid model with wind, photovoltaic, micro gas turbine and energy storage is constructed and so
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7

Nazia, S. B., and A. Satish Babu. "An Advanced Control and Stability Analysis of Wind Solar Integrated Microgrid." Journal of Energy Engineering and Thermodynamics, no. 32 (February 2, 2023): 1–11. http://dx.doi.org/10.55529/jeet32.1.11.

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In this article, we suggest a micro-grid methodology based on renewable energy sources (RES) in order to make more efficient use of renewable energy sources and use less energy from the traditional power grid. Off-grid, RES likes solar (generated by a photovoltaic panel) and wind can be stored in a battery and utilised to power loads. As an additional measure, a Fuzzy logic-based energy-saving method has been applied. Microgrids are used to integrate these systems in a decentralised fashion, and they provide a suite of technology solutions that facilitate communication between end users and di
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8

Nazia, S. B., and A. Satish Babu. "An Advanced Control and Stability Analysis of Wind Solar Integrated Microgrid." Journal of Energy Engineering and Thermodynamics, no. 32 (February 2, 2023): 1–11. http://dx.doi.org/10.55529/jeet.32.1.11.

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In this article, we suggest a micro-grid methodology based on renewable energy sources (RES) in order to make more efficient use of renewable energy sources and use less energy from the traditional power grid. Off-grid, RES likes solar (generated by a photovoltaic panel) and wind can be stored in a battery and utilised to power loads. As an additional measure, a Fuzzy logic-based energy-saving method has been applied. Microgrids are used to integrate these systems in a decentralised fashion, and they provide a suite of technology solutions that facilitate communication between end users and di
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9

Lakshmi, Dr G. V. Naga, and A. Srinika. "Grid Sychronization of Wind Based Microgrid." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (2023): 4869–80. http://dx.doi.org/10.22214/ijraset.2023.51877.

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Abstract: This paper presents the methods for synchronization of a wind based micro grid with main grid. The wind power is generated using the permanent magnet brushless DC generator (PMBLDCG) and the MPPT (Maximum Power Point Tracking) is executed with P&O (Perturb & Observe) approach to extract the maximum power from the wind generation. This power is fed to the AC load using a voltage source inverter (VSI) through the battery bank (BSS) at DC link. The control algorithm operates in standalone mode and grid connected mode. It can switch between islanded and grid connected modes seaml
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10

Zhong, Xianjing, Xianbo Sun та Yuhan Wu. "A Capacity Optimization Method for a Hybrid Energy Storage Microgrid System Based on an Augmented ε-Constraint Method". Energies 15, № 20 (2022): 7593. http://dx.doi.org/10.3390/en15207593.

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In general, microgrids have a high renewable energy abandonment rate and high grid construction and operation costs. To improve the microgrid renewable energy utilization rate, the economic advantages, and environmental safety of power grid operation, we propose a hybrid energy storage capacity optimization method for a wind–solar–diesel grid-connected microgrid system, based on an augmented ε- constraint method. First, the battery is coupled with a seasonal hydrogen energy storage system to establish a hybrid energy storage model that avoids the shortcomings of traditional microgrid systems,
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11

Kavitha, K., K. Meenendranath Reddy, and Dr P. Sankar Babu. "An Improvement of Power Control Method in Microgrid Based PV-Wind Integration of Renewable Energy Sources." Journal of Energy Engineering and Thermodynamics, no. 26 (November 28, 2022): 18–28. http://dx.doi.org/10.55529/jeet.26.18.28.

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Microgrids are quickly becoming a great success for the future of electricity. The notion of the microgrid combines several microsources without interfering with the functioning of the larger utility grid. The DC and AC networks of this hybrid Microgrid are powered by photovoltaic and wind generators. Both AC and DC Microgrids may couple with energy storage devices. A microgrid powered by a combination of renewable energy sources, such as wind and solar, is shown and controlled in this project. The wind energy conversion machine is a doubly fed induction generator (DFIG), and it is coupled to
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12

Mun, Hun, Byunghoon Moon, Soojin Park, and Yongbeum Yoon. "A Study on the Economic Feasibility of Stand-Alone Microgrid for Carbon-Free Island in Korea." Energies 14, no. 7 (2021): 1913. http://dx.doi.org/10.3390/en14071913.

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The power industry is rapidly changing as demand for eco-friendly and stable power supply increases along with global greenhouse gas emission regulations. Small-capacity renewable power sources represented by photovoltaics and wind are continuously increasing as a form of microgrid to supply electric power to a community or island. As a result, microgrids based on renewable resources have come into wide usage around small areas or islands in Korea. In particular, the microgrid development policy of Korea is focused on electric power quality, as well as expansion in renewable energy supply for
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13

Srinivasa Rao, G., K. Harinadha Reddy, B. Ravi Teja, B. Devasahayam, and Shaik Khaleel. "Matlab based simulation model of standalone DC Microgrid for Remote Area Power Applications." International Journal of Engineering & Technology 7, no. 1.8 (2018): 153. http://dx.doi.org/10.14419/ijet.v7i1.8.11538.

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DC microgrids are playing an important role in remote area power applications like power supply to off-grid tele communication towers, off-grid data centres, rural electrification etc. and moreover these are extensively used, as these appear as solutions for integrating two or more renewable energy resources. In this paper, photovoltaic (PV) and wind energy systems have been integrated along with batteries and a load to form an autonomous DC microgrid with high reliability and stability. The primary aspects which are to be taken into consideration in a standalone DC microgrid are voltage regul
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14

Xu, Xiuqi, Liancheng Xiu, Jingxuan He, and Rongxin Gong. "Disturbance-Suppression Method of Direct-Driven PMSG-Based Wind Power System in Microgrids." Processes 11, no. 7 (2023): 2189. http://dx.doi.org/10.3390/pr11072189.

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In order to solve the current fluctuation problem in microgrids, a suppression method called the Direct-driven Permanent Magnet Synchronous Generator (DPMSG)-based Wind Power System (WPS) based on an adaptive enhanced moving average filter algorithm is proposed. Firstly, the mathematical model of the WPS is established. On this basis, the suppression method under unbalanced conditions is derived by the instantaneous power equation to ensure the stable operation of the microgrid. In order to improve the dynamic compensation capability of the DPMSG-based WPS, an enhanced moving average filtering
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15

Sidea, Dorian O., Andrei M. Tudose, Irina I. Picioroaga, and Constantin Bulac. "Two-Stage Optimal Active-Reactive Power Coordination for Microgrids with High Renewable Sources Penetration and Electrical Vehicles Based on Improved Sine−Cosine Algorithm." Mathematics 11, no. 1 (2022): 45. http://dx.doi.org/10.3390/math11010045.

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As current global trends aim at the large-scale insertion of electric vehicles as a replacement for conventional vehicles, new challenges occur in terms of the stable operation of electric distribution networks. Microgrids have become reliable solutions for integrating renewable energy sources, such as solar and wind, and are considered a suitable alternative for accommodating the growing fleet of electrical vehicles. However, efficient management of all equipment within a microgrid requires complex solving algorithms. In this article, a novel two-stage scheme is proposed for the optimal coord
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16

Mohamed, Emad A., and Yasunori Mitani. "Load frequency control enhancement of islanded micro-grid considering high wind power penetration using superconducting magnetic energy storage and optimal controller." Wind Engineering 43, no. 6 (2019): 609–24. http://dx.doi.org/10.1177/0309524x18824533.

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This article proposes a robust load frequency control using a new optimal proportional–integral–derivative controller–based genetic moth swarm algorithm for islanded microgrids considering high wind power penetration. In such microgrids, the replacement of conventional generator units with a large number of renewable energy sources reduces the system inertia, which in turn causes undesirable influence on microgrid frequency stability, leading to weakening of the microgrid. Furthermore, sudden load shedding, load restoring, and short circuits caused large frequency fluctuations which threaten t
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17

Lyu, Zhilin, Xiao Yang, Yiyi Zhang, and Junhui Zhao. "Bi-Level Optimal Strategy of Islanded Multi-Microgrid Systems Based on Optimal Power Flow and Consensus Algorithm." Energies 13, no. 7 (2020): 1537. http://dx.doi.org/10.3390/en13071537.

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Aiming at problems of power allocation and economic scheduling for independent multi-microgrid systems, a bi-level optimization method based on optimal power flow and consensus algorithm is proposed. The novelty of the method is that an independent multi-microgrid system is divided into two layers: in the upper layer, with the predicted output range of the microgrids as the input data, each microgrid is considered as a virtual power supply or virtual load, and taking the minimum network loss as the goal, the energy mutual aid and power allocation among the microgrids are transformed into solvi
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18

Salman, Umar, Khalid Khan, Fahad Alismail, and Muhammad Khalid. "Techno-Economic Assessment and Operational Planning of Wind-Battery Distributed Renewable Generation System." Sustainability 13, no. 12 (2021): 6776. http://dx.doi.org/10.3390/su13126776.

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Electrical energy and power demand will experience exponential increase with the rise of the global population. Power demand is predictable and can be estimated based on population and available historical data. However, renewable energy sources (RES) are intermittent, unpredictable, and environment-dependent. Interestingly, microgrids are becoming smarter but require adequate and an appropriate energy storage system (ESS) to support their smooth and optimal operation. The deep discharge caused by the charging–discharging operation of the ESS affects its state of health, depth of discharge (DO
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19

Albalawi, Hani, Mohamed E. El-Shimy, Hosam AbdelMeguid, Ahmed M. Kassem, and Sherif A. Zaid. "Analysis of a Hybrid Wind/Photovoltaic Energy System Controlled by Brain Emotional Learning-Based Intelligent Controller." Sustainability 14, no. 8 (2022): 4775. http://dx.doi.org/10.3390/su14084775.

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Recently, hybrid wind/PV microgrids have gained great attention all over the world. It has the merits of being environmentally friendly, reliable, sustainable, and efficient compared to its counterparts. Though there has been great development in this issue, the control and energy management of these systems still face challenges. The source of those challenges is the intermittent nature of both wind and PV energy. On the other hand, a new intelligent control technique called Brain Emotional Learning-Based Intelligent Controller (BELBIC) has garnered more interest. This paper proposes the cont
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20

V, Bindhu, and Ranganathan G. "Energy Storage Capacity Expansion of Microgrids for a Long-Term." March 2021 3, no. 1 (2021): 55–64. http://dx.doi.org/10.36548/jeea.2021.1.006.

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In this paper, we examine the microgrids and the long-term dynamic capacity expansion planning in their architecture. Many resources contribute towards the supply to microgrid such as energy, micro gas turbine, solar and wind storage system. Moreover the electric vehicle charging stations use these microgrids as a source of electricity. The electric vehicles that are used in charging stations are based on vehicle-to-grid wherein it is possible to regulate the charging rate and time and to transmit energy to the microgrid. Hence, these charging stations are found to be present in generating uni
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21

Gayatri, M. T. L., and Alivelu M Parimi. "Single phase PQ theory based control of active power filter for power quality enhancement in DG connected microgrid." International Journal of Engineering & Technology 7, no. 1.8 (2018): 26. http://dx.doi.org/10.14419/ijet.v7i1.8.9445.

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The number of DG systems like Photovoltaic and Wind Energy Systems are now penetrating more into the conventional power system. In microgrids, loads and generators are in the close vicinity. However, due to the unpredictable nature of non-conventional energy resources like wind and solar with varying loads, it is almost impossible to maintain an accurate power balance between the source and load. Furthermore, to compensate reactive power and harmonics of this AC microgrid and also to maintain a reasonable power quality, it is essential to use a state-of-the-art controller like shunt active pow
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22

Khan, Ihtisham Ullah, Dr Gul Rukh, and Mian Farhan Ullah. "A multi-objective strategy for cost-effective microgrid solutions based on renewable energy sources." International Conference on Applied Engineering and Natural Sciences 1, no. 1 (2023): 1057–61. http://dx.doi.org/10.59287/icaens.1128.

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With the rapid urbanization and increasing energy demands, microgrids are recognizing renewable energy sources (RESs) as a valuable power generation option. However, efficiently managing the energy cost poses a significant challenge in integrating RESs with microgrids. To address this challenge, this study presents a novel approach utilizing a cost-effective multi-objective genetic algorithm (MOGA) to optimize power allocation among diverse generation units within the microgrid. The proposed MOGA algorithm aims to minimize generation costs by efficiently distributing the generated power from d
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23

Cendoya, Marcelo G., Juan I. Talpone, Paul F. Puleston, Jose A. Barrado-Rodrigo, Luis Martinez-Salamero, and Pedro E. Battaiotto. "Management of a Dual-Bus AC+DC Microgrid Based on a Wind Turbine with Double Stator Induction Generator." WSEAS TRANSACTIONS ON POWER SYSTEMS 16 (December 22, 2021): 297–307. http://dx.doi.org/10.37394/232016.2021.16.30.

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The topology and management of a sustainable dual-bus, AC and DC, microgrid designed to operate connected to a weak grid is presented. AC+DC hybrid microgrids are a robust and cost-competitive solution for poorly connected areas, as can be found in rural or island electrification. The versatile microgrid proposed in this work is developed around a wind turbine based on a particular induction generator with double stator winding and squirrel cage rotor (DWIG). This singular generator is especially suitable for a combined AC+DC coupled microgrid application. One of its stator windings is coupled
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24

Salama, Hossam S., Kotb M. Kotb, Istvan Vokony, and Dan Andras. "Comparative Analysis of a DC-microgrid Incorporating Hybrid Battery/Supercapacitor Storage System Addressing Pulse Load." Renewable Energy and Power Quality Journal 20 (September 2022): 359–63. http://dx.doi.org/10.24084/repqj20.310.

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Renewable energy sources (RESs) have become the primary power source of microgrids with many merits. However, RESs depend on the climate (i.e., wind speed and solar irradiance), leading to intermittent power generation. Moreover, some of the particular loads, such as the pulse load, severely impact the microgrid performance. Therefore, energy storage systems (ESSs) are considered a vital solution to improve microgrid performance and overcome microgrid challenges. This paper presents a comparative analysis of the performance of a DC-microgrid incorporating a battery storage system (BSS) and a h
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25

Zhu, Wang, Liu, Wang, Tai, and Jiang. "Optimal Control of Microgrid Operation Based on Fuzzy Sliding Mode Droop Control." Energies 12, no. 19 (2019): 3600. http://dx.doi.org/10.3390/en12193600.

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In the application of microgrid systems that include wind power, photovoltaic systems, diesel generators, and battery storage, the cooperative control and optimisation of power distribution between power sources is a major issue. Recently, the droop control has been used widely in microgrids. However, droop control relies mainly on the line parameter model between the grid and the load. Therefore, to improve the performance of the microgrid, the optimal control of microgrid operation based on the fuzzy sliding mode droop control method is considered in this paper. To begin, system parameters w
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Sun, Xiang-Yu, Ping-Hong Jhou, Min-Ze Lu, and Chang-Ming Liaw. "Development of Wind IPMSG Based Bipolar DC Microgrids." Journal of Energy and Power Technology 03, no. 02 (2021): 1. http://dx.doi.org/10.21926/jept.2102028.

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This paper presents the development of a wind Interior Permanent-Magnet Synchronous Generator (IPMSG) based bipolar DC microgrids along with various switch-mode rectifiers. Firstly, the wind IPMSG is established and adequately controlled to possess satisfactory generating characteristics during different driven speeds and loads. Later, the boost switch-mode rectifier (SMR) based bipolar DC bus is established. Further, three-phase single-switch (3P1SW) boost SMR, three-phase two-switch (3P2SW) three-level boost SMR, and a three-phase three-switch (3P3SW) Vienna SMR are comparatively evaluated.
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27

Restrepo, David, Bonie Restrepo, and Luz Adriana Trejos-Grisales. "Microgrid analysis using HOMER: a case study." DYNA 85, no. 207 (2018): 129–34. http://dx.doi.org/10.15446/dyna.v85n207.69375.

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The integration of renewable energy sources to create microgrids is drawing growing interest to address current energy-related challenges around the globe. Nevertheless, microgrids must be analyzed using specialized tools that allow to conduct operation, technical and economic studies. In that regard, this paper presents a case study in which the software HOMER Energy Pro was implemented to design and analyze the performance of a microgrid. Such microgrid comprises a photovoltaic system, a wind system and a diesel plant. The parameters of the energy systems are based on information about local
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Kumar, P. Sai Sampath, D. Lenine, P. Sesi Kiran, Suresh Kumar Tummala, Hassan Mohmmed Al-Jawahry, and Swati Singh. "Energy Management System for Small Scale Hybrid Wind Solar Battery Based Microgrid." E3S Web of Conferences 391 (2023): 01138. http://dx.doi.org/10.1051/e3sconf/202339101138.

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In recent years, the power system has been evolved into micro grids, which are little pockets of self-contained entities. Different distributed, interconnected generation units, loads, and energy storage units make up a typical microgrid system. The increased energy efficiency of these units on micro grids is gaining popularity Day-by-Day. Because of their stochastic behavior, renewable generation causes an imbalance in the power system, which needs microgrid energy management. An efficient energy management system for a small-scale Hybrid Wind-Solar- Battery based microgrid is proposed in thi
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Rabiee, Abbas, Ali Abdali, Seyed Masoud Mohseni-Bonab, and Mohsen Hazrati. "Risk-Averse Scheduling of Combined Heat and Power-Based Microgrids in Presence of Uncertain Distributed Energy Resources." Sustainability 13, no. 13 (2021): 7119. http://dx.doi.org/10.3390/su13137119.

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In this paper, a robust scheduling model is proposed for combined heat and power (CHP)-based microgrids using information gap decision theory (IGDT). The microgrid under study consists of conventional power generation as well as boiler units, fuel cells, CHPs, wind turbines, solar PVs, heat storage units, and battery energy storage systems (BESS) as the set of distributed energy resources (DERs). Additionally, a demand response program (DRP) model is considered which has a successful performance in the microgrid hourly scheduling. One of the goals of CHP-based microgrid scheduling is to provid
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Lin, Shangping, Yujie Huang, and Changming Liaw. "Wind SRG-Based Bipolar DC Microgrid with Grid-Connected and Plug-In Energy Supporting Functions." Energies 16, no. 7 (2023): 2962. http://dx.doi.org/10.3390/en16072962.

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Although a switched reluctance generator (SRG) is not the mainstream wind generator, it possesses the application potential and is worth developing for its many structural merits and high developed power ability. This paper presents a wind SRG-based bipolar DC microgrid having grid-connected and plug-in energy supporting functions. First, a surface-mounted permanent magnet synchronous motor (SPMSM)-driven wind turbine emulator (WTE) is established. Next, the wind SRG with an asymmetric bridge converter is developed. Good generating characteristics are obtained through proper designs of power c
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31

Xue, Lei, Li Bin Wang, Zhi Gang Wang, and Shu Ying Li. "Energy Management System Research for Wind-PV-ES Hybrid Microgrid Based on Storage Battery." Advanced Materials Research 660 (February 2013): 139–45. http://dx.doi.org/10.4028/www.scientific.net/amr.660.139.

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Energy management strategy is important to keep microgrid stable. In this paper, energy management strategy of Wind-PV-ES hybrid microgrid is proposed. Due to the power output of wind and PV are unknown quantities, the key point of Wind-PV-ES hybrid energy management lies in the energy management of storage battery. The flow charts of energy management strategy are given in detail and Wind-PV-ES microgrid model is built with DigSILENT/PowerFactory. Then the transition state simulation as to the micro-grid mode switching process is carried out. The result shows that the proposed energy manageme
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32

Singh, Vinit Kumar, Ashu Verma, and T. S. Bhatti. "Microgrids dynamic stability interconnected through low voltage AC network." International Journal of Applied Power Engineering (IJAPE) 10, no. 4 (2021): 326. http://dx.doi.org/10.11591/ijape.v10.i4.pp326-336.

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Renewable energy based microgrids have main challenges of maintaining its frequency-voltage characteristics and system becomes more complex when they are interconnected. These sources being intermittent in nature need to be supported by other resources like diesel/biogas such that at time of small variation in load or natural sources (wind/solar), power requirement is met through support provided by diesel/biogas-based system. Also, the controller should be fast enough to minimize the changes such that system reaches steady state. In this paper, renewable based rural microgrid consisting of wi
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Wang, Haipeng, Xuewei Wu, Kai Sun, Xiaodong Du, Yuling He, and Kaiwen Li. "Economic Dispatch Optimization of a Microgrid with Wind–Photovoltaic-Load-Storage in Multiple Scenarios." Energies 16, no. 9 (2023): 3955. http://dx.doi.org/10.3390/en16093955.

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The optimal economic power dispatching of a microgrid is an important part of the new power system optimization, which is of great significance to reduce energy consumption and environmental pollution. The microgrid should not only meet the basic demand of power supply but also improve the economic benefit. Considering the generation cost, the discharge cost, the power purchase cost, the electricity sales revenue, the battery charging and discharging power constraints, and the charging and discharging time constraints, a joint optimization model for a multi-scenario microgrid with wind–photovo
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Wang, Yicong, Chang Liu, Zhiwei Liu, et al. "A Hierarchical Cooperative Frequency Regulation Control Strategy of Wind-Storage-Load in a Microgrid Based on Model Prediction." Energies 16, no. 4 (2023): 1886. http://dx.doi.org/10.3390/en16041886.

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In order to give full play to the frequency regulation ability of multiple types of resources such as wind power, energy storage, and controllable load in a microgrid, this paper proposes a hierarchical cooperative frequency regulation control strategy of wind-storage-load in a microgrid based on model prediction. Firstly, according to the operation characteristics of each resource in the microgrid, a hierarchical cooperative frequency regulation architecture of wind-storage-load is constructed. On this basis, the frequency regulation control models of wind power, energy storage, and controlla
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Wu, Haotian, Hang Li, and Xueping Gu. "Optimal Energy Management for Microgrids Considering Uncertainties in Renewable Energy Generation and Load Demand." Processes 8, no. 9 (2020): 1086. http://dx.doi.org/10.3390/pr8091086.

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This paper proposes an efficient power management approach for the 24 h-ahead optimal maneuver of Mega–scale grid–connected microgrids containing a huge penetration of wind power, dispatchable distributed generation (diesel generator), energy storage system and local loads. The proposed energy management optimization objective aims to minimize the microgrid expenditure for fuel, operation and maintenance and main grid power import. It also aims to maximize the microgrid revenue by exporting energy to the upstream utility grid. The optimization model considers the uncertainties of the wind ener
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García-Vera, Yimy, Rodolfo Dufo-López, and José Bernal-Agustín. "Optimization of Isolated Hybrid Microgrids with Renewable Energy Based on Different Battery Models and Technologies." Energies 13, no. 3 (2020): 581. http://dx.doi.org/10.3390/en13030581.

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Energy supply in remote areas (mainly in developing countries such as Colombia) has become a challenge. Hybrid microgrids are local and reliable sources of energy for these areas where access to the power grid is generally limited or unavailable. These systems generally include a diesel generator, solar modules, wind turbines, and storage devices such as batteries. Battery life estimation is an essential factor in the optimization of a hybrid microgrid since it determines the system’s final costs, including future battery replacements. This article presents a comparison of different technologi
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Feng, Fei, Xin Du, Qiang Si, and Hao Cai. "Hybrid Game Optimization of Microgrid Cluster (MC) Based on Service Provider (SP) and Tiered Carbon Price." Energies 15, no. 14 (2022): 5291. http://dx.doi.org/10.3390/en15145291.

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Carbon trading is a market-based mechanism towards low-carbon electric power systems. A hybrid game optimization model is established for deriving the optimal trading price between microgrids (MGs) as well as providing the optimal pricing scheme for trading between the microgrid cluster(MC) and the upper-layer service provider (SP). At first, we propose a robust optimization model of microgrid clusters from the perspective of risk aversion, in which the uncertainty of wind and photovoltaic (PV) output is modeled with resort to the information gap decision theory (IGDT). Finally, based on the N
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Poudel, Bikash, Linyu Lin, Tyler Phillips, Shannon Eggers, Vivek Agarwal, and Timothy McJunkin. "Operational Resilience of Nuclear-Renewable Integrated-Energy Microgrids." Energies 15, no. 3 (2022): 789. http://dx.doi.org/10.3390/en15030789.

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The increasing prevalence and severity of wildfires, severe storms, and cyberattacks is driving the introduction of numerous microgrids to improve resilience locally. While distributed energy resources (DERs), such as small-scale wind and solar photovoltaics with storage, will be major components in future microgrids, today, the majority of microgrids are backed up with fossil-fuel-based generators. Small modular reactors (SMRs) can form synergistic mix with DERs due to their ability to provide baseload and flexible power. The heat produced by SMRs can also fulfill the heating needs of microgr
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Gad, Yehia, Hatem Diab, Mahmoud Abdelsalam, and Yasser Galal. "Smart Energy Management System of Environmentally Friendly Microgrid Based on Grasshopper Optimization Technique." Energies 13, no. 19 (2020): 5000. http://dx.doi.org/10.3390/en13195000.

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A microgrid is a group of distributed energy resources and interconnected loads that may be operated either in isolated mode or connected mode with the main utility within electrical boundaries. Microgrids may consist of different types of renewable energy resources such as photovoltaic panels, wind turbines, fuel cells, micro turbines, and storage units. It is highly recommended to manage the dependency on these resources by implementing an energy management unit to optimize the energy exchange so that the minimum cost is achieved. In this paper, an energy management system based on the grass
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Yuan, Xudong. "Study on Dynamic Interval Power Flow Calculation of Microgrid Based on Monte Carlo Algorithm." International Transactions on Electrical Energy Systems 2023 (June 7, 2023): 1–9. http://dx.doi.org/10.1155/2023/1702918.

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In order to effectively monitor the stability of the microgrid, based on the advantages of the Monte Carlo algorithm, a dynamic interval power flow calculation method for microgrid is designed. First, based on the multilayer complex structure of the microgrid, the hierarchical topology of its interval structure is analyzed. Then, the micropower flow model is designed, the affine algorithm is used to accurately describe the relationship between the variables in the microgrid structure, and the dynamic interval affine calculation is completed. Therefore, in the dynamic interval of the microgrid,
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Zhu, Lan, and Xiu Yang. "Design and Simulation for Microgrid System Based on Homer Software." Advanced Materials Research 361-363 (October 2011): 1874–77. http://dx.doi.org/10.4028/www.scientific.net/amr.361-363.1874.

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Aiming at some microgrid system in Shanghai, economic simulations and analyses are done. A microgrid including solar, wind power, microturbines, diesel engine, energy storage and other distributed power resources is constructed based on homer software and simulation parameters are set to make an optimum proposal. Further studies such as running on the grid, changing the cost of distributed energy and operating in the PV / wind power plant mode are discussed.
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Tatikayala, Vinay Kumar, Shishir Dixit, and Yashwant Sawle. "Integrated Energy Management System for Microgrid based on Renewable Energy Sources." International Journal of Electrical and Electronics Research 11, no. 2 (2023): 272–82. http://dx.doi.org/10.37391/ijeer.110205.

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An effective energy management strategy is crucial to ensure highest system reliability, stability, operation efficiency and cost-effective operation of renewable energy sources based standalone microgrid. This paper presents an efficient energy management system for microgrid incorporated with Photovoltaic system, PMSG based wind turbine and energy storages including battery, fuel cell-Electrolyzer. Implemented hybrid modified invasive weed optimization with perturbed and observed method for PV systems to harvest maximum energy during partial shading condition. A sliding mode controller is im
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Worku, Muhammed Y., Mohamed A. Hassan, and Mohamed A. Abido. "Real Time-Based under Frequency Control and Energy Management of Microgrids." Electronics 9, no. 9 (2020): 1487. http://dx.doi.org/10.3390/electronics9091487.

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In this paper, an efficient under frequency control and the energy management of a distributed energy resources (DERs)-based microgrid is presented. The microgrid is composed of a photovoltaic (PV), double-fed induction generator (DFIG)-based wind and diesel generator with critical and non-critical loads. The system model and the control strategy are developed in a real time digital simulator (RTDS). The coordination and power management of the DERs in both grid-connected and islanded operation modes are implemented. During power imbalances and frequency fluctuations caused by fault or islandi
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Jadidi, Saeedreza, Hamed Badihi, and Youmin Zhang. "Passive Fault-Tolerant Control Strategies for Power Converter in a Hybrid Microgrid." Energies 13, no. 21 (2020): 5625. http://dx.doi.org/10.3390/en13215625.

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Control of AC/DC pulse-width modulation (PWM) power electronic converter, referred to as “AC/DC PWM converter”, is vital to the efficient regulation of power flow between AC and DC parts of a hybrid microgrid. Given the importance of such converters in AC/DC microgrids, this paper investigates the design of fault-tolerant control for AC/DC PWM converters in the presence of microgrid faults. In particular, two novel fault-tolerant schemes based on fuzzy logic and model predictive control are proposed and implemented in an advanced hybrid microgrid benchmark in MATLAB/Simulink environment. The c
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Prashanti Chintada and Pakki Murari. "Adaptive Neural Fuzzy Inference System Based Adaptive Sliding Mode Control of a Standalone Single-Phase Microgrid." November 2020 6, no. 11 (2020): 34–41. http://dx.doi.org/10.46501/ijmtst061107.

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This paperpresents an ANFIS based adaptive sliding mode control (ASMC) of a standalone single phase microgrid system. The proposed microgrid system integrates a micro-hydro turbine driven single-phase two winding self-excited induction generator (SEIG) with a wind driven permanent magnet brushless DC (PMBLDC) generator, solar photo-voltaic (PV) array and a battery energy storage system (BESS). These renewable energy sources are integrated using a single-phase voltage source converter (VSC). The ASMC based control algorithm is used to estimate the reference source current which controls the sin
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Wang, Min, Yong Qing Li, Cheng Fei Zhang, Dong Yang Cai, and Yue Yuan. "Dynamic Simulation of a Microgrid with Renewable Microsources Based on DIgSILENT/PowerFactory." Advanced Materials Research 805-806 (September 2013): 1176–80. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.1176.

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According to characteristics of the power grid in China, a framework of microgrid for distributed generations (DGs) integration is proposed. To ensure the reliability of power supply, the framework access distribution network by single-bus section. The DGs consist of photovoltaic (PV) system, wind power system and energy storage system. Based on the proposed framework and control strategy, the models of distributed generations were built in DIgSILENT/PowerFactory. According to the control strategy, three cases were analyzed: 1) the dynamic operating characteristics of the microgrid from grid-c
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Wang, Peng, Yu Zhang, and Hongwan Yang. "Research on Economic Optimization of Microgrid Cluster Based on Chaos Sparrow Search Algorithm." Computational Intelligence and Neuroscience 2021 (March 10, 2021): 1–18. http://dx.doi.org/10.1155/2021/5556780.

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With the deepening of the power market reform on the retail side, it is of great significance to study the economic optimization of the microgrid cluster system. Aiming at the economics of the microgrid cluster, comprehensively considering the degradation cost of energy storage battery, the compensation cost of demand-side controllable loads dispatch, the electricity transaction cost between the microgrids, and the electricity transaction cost between the microgrid and the power distribution network of the microgrid cluster, we establish an optimal dispatch model for the microgrid cluster incl
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Rajendran, Senthilnathan, Vigneysh Thangavel, Narayanan Krishnan, and Natarajan Prabaharan. "DC Link Voltage Enhancement in DC Microgrid Using PV Based High Gain Converter with Cascaded Fuzzy Logic Controller." Energies 16, no. 9 (2023): 3928. http://dx.doi.org/10.3390/en16093928.

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Renewable-based sources can be interconnected through power electronic converters and connected with local loads and energy storage devices to form a microgrid. Nowadays, DC microgrids are gaining more popularity due to their higher efficiency and reliability as compared to AC microgrid systems. The DC Microgrid has power electronics converters between the DC loads and renewable-based energy sources. The power converters controlled with an efficient control algorithm for maintaining stable DC bus voltage in DC microgrids under various operating modes is a challenging task for researchers. With
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Elshenawy, Mahmoud, Ashraf Fahmy, Adel Elsamahy, Shaimaa A. Kandil, and Helmy M. El Zoghby. "Optimal Power Management of Interconnected Microgrids Using Virtual Inertia Control Technique." Energies 15, no. 19 (2022): 7026. http://dx.doi.org/10.3390/en15197026.

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Two interconnected AC microgrids are proposed based on three renewable energy sources (RESs): wind, solar, and biogas. The wind turbine drives a permanent magnet synchronous generator (PMSG). A solar photovoltaic system (SPVS) with an appropriate inverter was incorporated. The biogas genset (BG) consists of a biogas engine coupled with a synchronous generator. Two interconnected AC microgrids, M1 and M2, were considered for study in this work. The microgrid M2 is connected to a diesel engine (DE) characterized by a continuous power supply. The distribution power loss of the interconnected AC m
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He, Ge, Zhijie Wang, Hengke Ma, and Xianli Zhou. "Optimal Capacity Configuration of Wind–Solar Hydrogen Storage Microgrid Based on IDW-PSO." Batteries 9, no. 8 (2023): 410. http://dx.doi.org/10.3390/batteries9080410.

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Because the new energy is intermittent and uncertain, it has an influence on the system’s output power stability. A hydrogen energy storage system is added to the system to create a wind, light, and hydrogen integrated energy system, which increases the utilization rate of renewable energy while encouraging the consumption of renewable energy and lowering the rate of abandoning wind and light. Considering the system’s comprehensive operation cost economy, power fluctuation, and power shortage as the goal, considering the relationship between power generation and load, assigning charging and di
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