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Journal articles on the topic 'Swarm nano grid system'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Nagarajan, Karthikeyan, Kaliappan Esakkiappan, Dinakaran Kala Pandian, and Dharmaprakash Ramasamy. "Independent swarm grid vehicle charging by a logical DC-DC converter with hybrid boundary conduction mode." Indonesian Journal of Electrical Engineering and Computer Science 32, no. 3 (2023): 1318. http://dx.doi.org/10.11591/ijeecs.v32.i3.pp1318-1326.

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<p>A modern and expanding civilization now takes for granted that future environments will be clean, efficient, and carbon neutral. Energy-efficient electrical loads, such as v ehicle charging now often u sed in schools, companies, and gated communities. Recent articles have focused more on Swarm smart grid technology as a way to transmit power from rooftop solar installations. A major issue with the system is the necessity for inverters and other conversio n equipment. The mechanism consumes part of the power generated by this process. It is possible to utilize the DC supply to power th

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Karthikeyan, N., S. Nanthagopal, R. Dharmaprakash, and R. Ravikumar. "Investigation on implementing the swarm nano grid system for effective utilization of solar-powered agro-industries." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 1128. http://dx.doi.org/10.11591/ijpeds.v15.i2.pp1128-1136.

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The agro-industry is the backbone of the global economy, even in the twenty-first century. The agro-industry would not be what it is now without irrigation. The production and use of renewable energy in this sector of the agricultural economy have also expanded rapidly in recent years. Base-load power production and conversions dominate the literature. This research examines user concerns. The swarm nano grid system fixes this. The pulse width modulation (PWM) sinusoidal inverter converted stable DC power from the bidirectional DC-DC converter into sinusoidal AC voltage for the irrigation pump

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Karthikeyan, N., S. Nanthagopal, R. Dharmaprakash, and R. Ravikumar. "Investigation on implementing the swarm nano grid system for effective utilization of solar-powered agro-industries." International Journal of Power Electronics and Drive Systems (IJPEDS) 15, no. 2 (2024): 1128–36. https://doi.org/10.11591/ijpeds.v15.i2.pp1128-1136.

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The agro-industry is the backbone of the global economy, even in the twenty-first century. The agro-industry would not be what it is now without irrigation. The production and use of renewable energy in this sector of the agricultural economy have also expanded rapidly in recent years. Base-load power production and conversions dominate the literature. This research examines user concerns. The swarm nano grid system fixes this. The pulse width modulation (PWM) sinusoidal inverter converted stable DC power from the bidirectional DC-DC converter into sinusoidal AC voltage for the irrigation pump

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Qayyum, Faiza, Reem Alkanhel, and Ammar Muthanna. "Maximizing Efficiency in Energy Trading Operations through IoT-Integrated Digital Twins." Sensors 23, no. 24 (2023): 9656. http://dx.doi.org/10.3390/s23249656.

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The Internet of Things (IoT) has brought about significant transformations in multiple sectors, including healthcare and navigation systems, by offering essential functionalities crucial for their operations. Nevertheless, there is ongoing debate surrounding the unexplored possibilities of the IoT within the energy industry. The requirement to better the performance of distributed energy systems necessitates transitioning from traditional mission-critical electric smart grid systems to digital twin-based IoT frameworks. Energy storage systems (ESSs) used within nano-grids have the potential to

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Rawa, Muhyaddin, Abdullah Abusorrah, Yusuf Al-Turki, et al. "Optimal Allocation and Economic Analysis of Battery Energy Storage Systems: Self-Consumption Rate and Hosting Capacity Enhancement for Microgrids with High Renewable Penetration." Sustainability 12, no. 23 (2020): 10144. http://dx.doi.org/10.3390/su122310144.

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Recent advances in using renewable energy resources make them more accessible and prevalent in microgrids (MGs) and nano grids (NGs) applications. Accordingly, much attention has been paid during the past few years to design and operate MGs with high renewable energy sources (RESs) penetration. Energy storage (ES) is the crucial enabler for reliable MG operation to help MGs become more resistant to disruptions, particularly with the increased penetration of RESs. In this regard, this paper formulates a two-stage optimization framework to improve a grid-connected MG performance. Firstly, the op

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Bharani Prakash, T., and R. Sankar Ganesh. "Harmonic Minimization in Grid Coupled Photovoltaic Structures Using Selective Harmonic Elimination Pulse-Width Modulation in Multiple Level Series Linked Nano-Scale Double Gate Hetero-Structure MOSFET Based H Type Bridge Inverters." Journal of Nanoelectronics and Optoelectronics 17, no. 1 (2022): 128–35. http://dx.doi.org/10.1166/jno.2022.3178.

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Semiconductor Chip makers and semiconductor device designers denote that, a reliable device should have a character with high speed and low power loss in its operation, which could be done in a nano-scale regime. A nano-scale double gate hetero-structure MOSFET based multilevel inverter is a power electronic arrangement system that generates multilevel output voltage with lower harmonic distortion and reduced power switching loss. In a grid-connected photovoltaic device, this power electronic inverter is a critical and essential component. Series coupled H-bridge multilayered inverter is a wid

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7

Toshi Mandloi, Shailendra Kumar Sharma, S. C. Choube. "Energy Management in Grid Integrated Microgrid System using Demand Response." Power System Technology 49, no. 1 (2025): 767–83. https://doi.org/10.52783/pst.1621.

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This paper presents an energy management system (EMS) for a grid integrated microgrid with demand response program (DRP) using a farmland fertility algorithm (FFA). A demand response program (DRP) is incorporated with FFA for an EMS. This paper proposes an application of a new metaheuristic algorithm i.e., FFA on incentive based DRP for optimization of the operational and procurement cost and adjusting the load demand of customers during the peak load hours. The technique is applied on IEEE three and ten unit systems integrated with wind and solar system. The proposed FFA algorithm with DRP is

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8

Reddy, Kumeshan, and Akshay Kumar Saha. "An Investigation into the Utilization of Swarm Intelligence for the Design of Dual Vector and Proportional–Resonant Controllers for Regulation of Doubly Fed Induction Generators Subject to Unbalanced Grid Voltages." Energies 15, no. 20 (2022): 7476. http://dx.doi.org/10.3390/en15207476.

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This work presents an investigation into the use of swarm intelligence techniques for the control of the doubly fed induction generator under unbalanced grid voltages. Swarm intelligence is a concept that was introduced in the late 20th century but has since undergone constant evolution and modifications. Similarly, the doubly fed induction generator has recently come under intense investigation. Owing to the direct grid connection of the DFIG, an unbalanced grid voltage harshly impacts its output power. Established mitigation measures include the use of the dual vector and proportional–resona

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Li, Junwei, Yafang Tang, and Junke Li. "Research on Adaptive Suppression of LCL Converter Resonance Grid-Connected System." Journal of Electrical and Computer Engineering 2020 (April 28, 2020): 1–9. http://dx.doi.org/10.1155/2020/1959073.

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LCL-type converters are widely used in grid-connected systems due to their small size and good filtering performance. However, the resonance suppression problem brought by the LCL filter cannot be ignored. The capacitive current feedback is a commonly used resonance suppression method. In applications, the grid impedance can cause LCL filter resonance. Thus, this paper presents an adaptive resonance suppression method based on the RBF network optimized by particle swarm optimization. This method optimizes the initial parameters of the RBF network through particle swarm optimization, identifies

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10

Kumar, Devineni Gireesh, Aman Ganesh, Nagineni Venkata Sireesha, et al. "Performance Analysis of an Optimized Asymmetric Multilevel Inverter on Grid Connected SPV System." Energies 15, no. 20 (2022): 7665. http://dx.doi.org/10.3390/en15207665.

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The purpose of this research is to develop an efficient single-phase grid-connected PV system using a better performing asymmetrical multilevel inverter (AMI). Circuit component reduction, harmonic reduction, and grid integration are critical criteria for better inverter efficiency. The proposed inverter’s optimized topology requires seven unidirectional switches, three symmetric dc sources, and three diodes to produce an asymmetric fifteen level output; whereas, the same configuration will generate 7, 11, and 15-level output with an appropriate choice of dc source magnitudes. It is possible t

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Jiang, Yumen, Haoen Li, Yuchen Qi, et al. "Research on system planning methods for large-scale grid connection of photovoltaics." Journal of Physics: Conference Series 2781, no. 1 (2024): 012006. http://dx.doi.org/10.1088/1742-6596/2781/1/012006.

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Abstract With technological advancements, the extent of distributed photovoltaic grid connections has expanded. Optimizing the integration capacity of photovoltaic sources into the grid is key to reducing network loss and voltage deviations in power systems. This study first examines the effects of photovoltaic grid connections on these parameters, then it introduces a calculation method for grid integration capacity using the particle swarm optimization algorithm. The performance of this method, compared against two other algorithms, is validated through simulations in an IEEE33 node system.

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Yuqiong, Zhang, Chen Ziwei, Shao Zhifang, Zhao Qiang, and Han Chuyin. "Capacity Configuration Optimization of Micro-grid System basedon Quantum Particle Swarm Algorithm." E3S Web of Conferences 252 (2021): 01021. http://dx.doi.org/10.1051/e3sconf/202125201021.

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The optimized configuration of wind/photovoltaic/storage micro-grid system capacity can realize multi-energy complementation and improve the stability and economy of grid-connected operation of power generation units. In this paper, the capacity of each core component of the micro-grid system under different combination paths such as Wind-PV power generation, battery energy storage, hydrogen production by electrolysis, and fuel cell power generation are optimized and economically analyzed. Taking the FCFF (Free Cash Flow of Firm) net present value maximization of the system running for 20 year

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Tan, Kuan Tak, Sivaneasan Bala Krishnan, and Andy Yi Zhuang Chua. "Modelling and Simulation of Pico- and Nano-Grids for Renewable Energy Integration in a Campus Microgrid." Energies 18, no. 1 (2024): 67. https://doi.org/10.3390/en18010067.

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Research in renewable energy sources and microgrid systems is critical for the evolving power industry. This paper examines the operational behavior of both pico- and nano-grids during transitions between grid-connected and islanded modes. Simulation results demonstrate that both grids effectively balance the power flow, regulate the state of charge (SOC), and stabilize the voltage during dynamic operational changes. Specific scenarios, including grid disconnection, load sharing, and weather-based energy fluctuations, were tested and validated. This paper models both pico-grids and nano-grids

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14

Annapandi, P., D. Lakshmi, B. Kavya Santhoshi, and P. Annapoorani. "Lion swarm optimization for grid connected PV system with improved SEPIC." International Journal of Applied Power Engineering (IJAPE) 13, no. 3 (2024): 603. http://dx.doi.org/10.11591/ijape.v13.i3.pp603-615.

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The wide deployment of grid-connected renewable energy system has piqued immense attention recently, in response to rising electricity consumption, diminishing fossil fuel reserves in addition to the need for reducing carbon emissions. Among the available sources of renewable energy, photovoltaic (PV) power generation is the most promising technology with enormous potential and easy access. This paper presents an optimum control technique for grid connected PV systems. The improved single ended primary inductor converter (SEPIC) controls and regulates PV output power to the optimum voltage lev

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Annapandi, P., D. Lakshmi, B. Kavya Santhoshi, and P. Annapoorani. "Lion swarm optimization for grid connected PV system with improved SEPIC." Lion swarm optimization for grid connected PV system with improved SEPIC 13, no. 3 (2024): 603–15. https://doi.org/10.11591/ijape.v13.i3.pp603-615.

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The wide deployment of grid-connected renewable energy system has piqued immense attention recently, in response to rising electricity consumption, diminishing fossil fuel reserves in addition to the need for reducing carbon emissions. Among the available sources of renewable energy, photovoltaic (PV) power generation is the most promising technology with enormous potential and easy access. This paper presents an optimum control technique for grid connected PV systems. The improved single ended primary inductor converter (SEPIC) controls and regulates PV output power to the optimum voltage lev

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16

Engr., Haleem Zahir Shah, and Muhammad Naeem Arbab Dr. "Design and Implementation of Power System Optimization Using Particles Swarm Algorithms." International Journal of Engineering Works (ISSN: 2409-2770) 4, no. 10 (2017): 196–03. https://doi.org/10.5281/zenodo.1038298.

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This study aims to develop a power system optimization simulation environment for one of Electrical Supply Grid in Peshawar Region where theoretical, calculated and collected data is used and proposes enhancements in the distribution system as per the results of the simulation of the Particle Swarm Optimizer and Newton Rhapson Algorithm on it. The simulation framework is cross-evaluated on the IEEE-30 Bus bar system and compared with eminent researches in this field. The results are plotted and tabulated first as a comparison and then as a proposed model for Peshawar Region’s selected substati

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17

Jahangiri, Shahrzad, and Karl O. Jones. "Enhancing Load Frequency Control in Interconnected Power Systems with Zone-Specific Fuzzy Controllers: Principles and Methods." Journal of Advances in Engineering and Technology 3, no. 2 (2025): 1–13. https://doi.org/10.54389/wvzk7306.

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This work focuses on load frequency control in interconnected power systems, a critical aspect of modern power grid operations. However, sudden load disturbances and generator outages can lead to transient oscillations between control areas, posing challenges to frequency control. The aim of the work was to investigate and enhance load frequency control behaviour, considering dynamic load changes and uncertainties. Fuzzy Logic Controllers optimized with Particle Swarm Optimization were applied to improve control robustness. The Particle Swarm Optimisation algorithm was used to tune the scaling

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18

Apoorva Sharma. "Mathematical Modeling and Statistical Analysis of Novel Swarm Computing Based Charging Management Framework for Electric Vehicles." Panamerican Mathematical Journal 35, no. 1s (2024): 90–102. http://dx.doi.org/10.52783/pmj.v35.i1s.2118.

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This paper presents a novel swarm computing-based charging management framework for electric vehicles (EVs), designed to optimize charging operations and enhance the grid's capacity to handle EV load without compromising system reliability. We introduce a mathematical model that incorporates swarm intelligence algorithms, particularly Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO), to efficiently manage the charging schedules of EVs across multiple charging stations. The framework aims to minimize energy costs, balance load during peak hours, and reduce charging time by di

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19

Meng, Ke, Jundong Zhang, Zeming Xu, et al. "Ship Power System Network Reconfiguration Based on Swarm Exchange Particle Swarm Optimization Algorithm." Applied Sciences 14, no. 21 (2024): 9960. http://dx.doi.org/10.3390/app14219960.

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As one of the important components of a ship, the ship’s integrated power system is an important safeguard for ships. In order to improve the service life of the ship’s power grid, the power system should be able to realize rapid reconstruction to ensure continuous power supply of important loads when the ship is attacked or fails suddenly. Therefore, it is of vital importance to study the reconfiguration technology of the ship’s integrated power system to ensure that it can quickly and stably cope with all kinds of emergencies in order to guarantee the safe and reliable navigation of the ship

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20

Li, Xiang, Chong Guo, Chengjun Li, Tianyuan Xu, and Songyu Wu. "Power Grid Low Carbon Collaborative Planning Method Using Improved Cat Swarm Optimization Algorithm in Edge Cloud Computing Environment." Wireless Communications and Mobile Computing 2022 (March 7, 2022): 1–11. http://dx.doi.org/10.1155/2022/5213270.

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The current power grid planning mostly realizes the calculation and analysis based on the factors of operation reliability or operation economy, but low-carbon green operation has become the main melody of power system development. Aiming to support the green and reliable operation of the power grid, this paper proposes a power grid low-carbon collaborative planning method based on improved cat swarm optimization algorithm. First, the carbon emission characteristics of the whole cycle of power grid construction are analyzed on the edge side, and a power grid planning model including environmen

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Jettanasen, Chaiyan, and Atthapol Ngaopitakkul. "Characteristics and Effects of Conducted Emission from Grid-Connected and Stand-Alone Micro-Inverters in a Nano-Grid Road Lighting System." Sustainability 11, no. 20 (2019): 5690. http://dx.doi.org/10.3390/su11205690.

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A road lighting system is important for drivers and uses a lot of energy. The road lighting system must be installed throughout roads which have a long distance and a large volume, which causes power loss in the power transmission line. The concept of combining a power generation system by using a solar power system and a road lighting system is presented to solve this problem; it is called “a nano-grid road lighting system”. The nano-grid system consists of a grid-connected system and a stand-alone system and both systems use micro-inverters to convert the electric power for LED luminaire loa

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Sahoo, Ananta Kumar, Smrutiranjan Nayak, Ashwin Kumar Sahoo, Subhransu Sekhar Dash, and Sanjeeb Kumar Kar. "Cases of PD-CFPID selector for frequency adjustment of integrated power grid." International Journal of Applied Power Engineering (IJAPE) 13, no. 2 (2024): 428. http://dx.doi.org/10.11591/ijape.v13.i2.pp428-433.

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In current article an improved salp swarm algorithm (SSA) has been suggested. Likewise, the adjustable scaling-component is locked in to manage salp’s situation in time of the hunt system to limit arbitrary development salps. The upgraded salp swarm method combines random objection-based learning, multiple management, and simulated hardening in swarm brilliant-based metaheuristic salp swarm method, which rises the exploration and exploitation of the primary salp swarm method. To exhibit viability of the improved SSA, a bunch of multichannel test capabilities are locked in. A partially decentra

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Sahoo, Ananta Kumar, Smrutiranjan Nayak, Ashwin Kumar Sahoo, Subhransu Sekhar Dash, and Sanjeeb Kumar Kar. "Cases of PD-CFPID selector for frequency adjustment of integrated power grid." International Journal of Applied Power Engineering (IJAPE) 13, no. 2 (2024): 428–33. https://doi.org/10.11591/ijape.v13.i2.pp428-433.

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In current article an improved salp swarm algorithm (SSA) has been suggested. Likewise, the adjustable scaling-component is locked in to manage salp’s situation in time of the hunt system to limit arbitrary development salps. The upgraded salp swarm method combines random objection-based learning, multiple management, and simulated hardening in swarm brilliant-based metaheuristic salp swarm method, which rises the exploration and exploitation of the primary salp swarm method. To exhibit viability of the improved SSA, a bunch of multichannel test capabilities are locked in. A partially de

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Roslan, M. F., Ali Q. Al-Shetwi, M. A. Hannan, P. J. Ker, and A. W. M. Zuhdi. "Particle swarm optimization algorithm-based PI inverter controller for a grid-connected PV system." PLOS ONE 15, no. 12 (2020): e0243581. http://dx.doi.org/10.1371/journal.pone.0243581.

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The lack of control in voltage overshoot, transient response, and steady state error are major issues that are frequently encountered in a grid-connected photovoltaic (PV) system, resulting in poor power quality performance and damages to the overall power system. This paper presents the performance of a control strategy for an inverter in a three-phase grid-connected PV system. The system consists of a PV panel, a boost converter, a DC link, an inverter, and a resistor-inductor (RL) filter and is connected to the utility grid through a voltage source inverter. The main objective of the propos

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Huang, Wen Ming, Zhen Rong Deng, Ren Hua Li, and Xing Xing Tang. "Trust-Based Particle Swarm Optimization for Grid Task Scheduling." Applied Mechanics and Materials 239-240 (December 2012): 1331–35. http://dx.doi.org/10.4028/www.scientific.net/amm.239-240.1331.

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To solve the problem of grid task scheduling, an improved algorithm based on particle swarm optimization (PSO) is presented. This paper introduces mutation into PSO. Mutation makes the algorithm jump out local optimization. To some extent, it overcomes the inherent flaw of PSO that falling into local optimization. This paper also introduces trust mechanism into the algorithm to improve the service performance of grid system. The result of simulation experiment shows that the improved algorithm not only makes the complete time minimum, but also have more tasks executed successfully.

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Ma, Caoyuan, Chunxiao Li, Xuezi Zhang, Guoxin Li, and Yonggang Han. "Reconfiguration of Distribution Networks with Distributed Generation Using a Dual Hybrid Particle Swarm Optimization Algorithm." Mathematical Problems in Engineering 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/1517435.

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This paper proposes a reconfiguration strategy of distribution network with distribution generation (DG) based on dual hybrid particle swarm optimization algorithm. By the network structure simplification and branches grouping, network loss was selected as objective function, an improved binary particle swarm optimization algorithm (IBPSO) was used in branch group search, and the proposed group binary particle swarm optimization search algorithm was used in searching within the group to improve search efficiency and avoid early maturing. The proposed algorithm was tested on the IEEE 33-bus dis

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Liu, Zinan. "Distributed Energy Storage Scheduling Optimization of Micro Grid Based on Particle Swarm Optimization Algorithm." E3S Web of Conferences 369 (2023): 02005. http://dx.doi.org/10.1051/e3sconf/202336902005.

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Distributed generation is a new type of environment-friendly energy, which has a good development prospect. However, due to its inherent defects, it is still difficult to be widely used in large-scale access points and loads. As a new type of distributed power supply, Micro grid is decentralized and intermittent in power supply. In order to make rational use of power grid resources, it is necessary to optimize the distributed energy storage scheduling. The particle swarm optimization algorithm proposed in this paper is also to improve the data processing capacity of the scheduling system. This

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Li, Cun, Ding Yuan, Gaige Liang, Lu Liu, and Xuedong Jiang. "Research on Outage Maintenance Optimization Strategy Based on Improved Multi-Objective Particle Swarm Optimization." Journal of Physics: Conference Series 2138, no. 1 (2021): 012008. http://dx.doi.org/10.1088/1742-6596/2138/1/012008.

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Abstract With the increasingly complex structure of the transmission system, the impact of power outage caused by faults in the power grid is becoming greater and greater. The power grid shall cut off the maintenance of line equipment to ensure the power supply safety of the system. During the outage maintenance period, how to achieve safe maintenance and low-cost impact is the main content of outage control. Aiming at the problem of outage maintenance, a particle swarm optimization algorithm with the goal of minimum impact, economic optimization and shortest maintenance time is proposed. The

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Wang, Zhi Dong, Zi Fa Liu, Jin Chao Li, Ziang You, Hui Li, and Zhi Yong Cao. "The Quantitative Evaluation of Grid Planning Based on Optimized Weighting Method." Applied Mechanics and Materials 278-280 (January 2013): 2252–60. http://dx.doi.org/10.4028/www.scientific.net/amm.278-280.2252.

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It is crucial for the integral future development of the power grid to measure grid planning rationality during the rapid growth period of it. Through the analysis of the evaluation characteristics and influencing factors of China's power grid planning, this paper determined the value orientation of the grid planning assessment and evaluation content based on a quantitative evaluation of the existing power grid planning model, and established comprehensive assessment index system of grid planning covering security, economic, excellence and coordination based on the safe and stable operation of

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Mquqwana, Manduleli Alfred, and Senthil Krishnamurthy. "Particle Swarm Optimization for an Optimal Hybrid Renewable Energy Microgrid System under Uncertainty." Energies 17, no. 2 (2024): 422. http://dx.doi.org/10.3390/en17020422.

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Microgrids can assist in managing power supply and demand, increase grid resilience to adverse weather, increase the deployment of zero-emission energy sources, utilise waste heat, and reduce energy wasted through transmission lines. To ensure that the full benefits of microgrid use are realised, hybrid renewable energy-based microgrids must operate at peak efficiency. To offer an optimal solution for managing microgrids with hybrid renewable energy sources (HRESs) while taking microgrid reserve margins into account, the particle swarm optimisation (PSO) method is suggested. The suggested appr

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Haj-ahmed, Mohammed, Mais M. Aldwaik, and Dia Abualnadi. "Optimal Allocation of Phasor Measurement Units Using Particle Swarm Optimization: An Electric Grid Planning Perspective." Energies 18, no. 5 (2025): 1225. https://doi.org/10.3390/en18051225.

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In this paper, the particle swarm optimization (PSO) technique is used to optimally allocate phasor measurement units (PMUs) within standard test systems and a real-world power system. PMUs are allocated at system substations in a manner that ensures complete system observability while minimizing installation costs. This study considers IEEE 14-, 30-, and 57-bus standard test systems, along with the Jordanian national high-voltage grid. The optimal allocation was performed separately on the 132 kV and 400 kV buses of the Jordanian grid. Additionally, a novel technique for further minimization

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Huang, Linyun, Yong Zhang, Yujie Su, and Youngchul Bae. "Multi-Objective Reliable Optimization Dispatch of High-proportion Power System Based on Improved Particle Swarm Algorithm." Journal of Physics: Conference Series 2890, no. 1 (2024): 012028. http://dx.doi.org/10.1088/1742-6596/2890/1/012028.

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Abstract Energy storage technology is pivotal for managing high-proportion power system consumption and maintaining real-time power balance. The optimal configuration of energy storage is influenced by factors such as capacity, wind power loads, and output power. This paper utilizes dynamic programming to evaluate the operational efficiency of conventional units and wind turbines within the power system, followed by the application of an enhanced particle swarm optimization algorithm to tackle optimization challenges. A BP neural network is employed to predict the impact of different units on

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Li, Jiening, Hanqi Huang, Xiaoning Chen, Lingxi Peng, Liang Wang, and Ping Luo. "The Small-Signal Stability of Offshore Wind Power Transmission Inspired by Particle Swarm Optimization." Complexity 2020 (July 15, 2020): 1–13. http://dx.doi.org/10.1155/2020/9438285.

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Voltage source converter-high-voltage direct current (VSC-HVDC) is the mainstream technology of the offshore wind power transmission, which has been rapidly developed in recent years. The small-signal stability problem is closely related to offshore wind power grid-connected safety, but the present study is relatively small. This paper established a mathematical model of the doubly fed induction generator (DFIG) integrated into the IEEE9 system via VSC-HVDC in detail, and small-signal stability analysis of offshore wind farm (OWF) grid connection is specially studied under different positions

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Sarin, C. R., Geetha Mani, Albert Alexander Stonier, M. Arivarasu, Ravi Samikannu, and Srinivasan Murugesan. "Multithreaded Multiswarm Model for Intelligent Economic Prosumer Load Dispatch for Battery Supported DC Microgrid." Mathematical Problems in Engineering 2022 (March 21, 2022): 1–13. http://dx.doi.org/10.1155/2022/7739945.

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Economic load dispatch should be given special care even when the primary responsibility of any demand response model is to provide a consistent supply to the load. Demand can be satisfied by the utility grid as well as self-sustaining user sources. If a user generates excess power after meeting demand, the user can pool it and transfer it to the grid or neighboring consumers. This is referred to as the prosumer model, in which the user serves as both a producer and a consumer. Furthermore, some of the surplus power may be stored in energy storage devices. A sophisticated mathematical model is

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Sathish, Ch, M. Manikandan, and I. A. Chidambaram. "Hybrid Renewable Energy System with High Gain Modified Z-Source Boost Converter for Grid-Tied Applications." Problems of the Regional Energetics, no. 1(57) (February 2023): 39–54. http://dx.doi.org/10.52254/1857-0070.2023.1-57.04.

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In a hybrid renewable system, a conventional boost converter produces more losses at the time of the energy conversion process due to this, the performance of the hybrid system is reduced total harmonic distortion is increased, and the hybrid microgrid outcome is reduced. The main objective of the work enhancing the low DC voltage produced by the PV panel, a high gain Boost converter is utilized. The objectives of the work were achieved by a High Gain Modified Z-source Boost converter along with Modified Particle Swarm Optimized- Proportional Integral (MPSO-PI) controller employed in the energ

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Tadie, Abebe Tilahun, Zhizhong Guo, and Ying Xu. "Hybrid Model-Based BESS Sizing and Control for Wind Energy Ramp Rate Control." Energies 15, no. 23 (2022): 9244. http://dx.doi.org/10.3390/en15239244.

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This paper presents a hybrid model constituting dynamic smoothing technique and particle swarm optimization techniques to optimally size and control battery energy storage systems for wind energy ramp rate control and power system frequency performance enhancement. In today’s modern power system, a high-proportion renewable energy grid is inevitable. This high-proportion renewable energy grid is a power system with abundant integration of renewable energy resources under the presence of energy storage tools. Energy storage tools are integrated into such power systems to balance the fluctuation

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Liu, Xinrui, Guangru Zhang, Dongsheng Yang, Tongyu Shi, and Xusheng He. "Discrete-Time Optimal Control of Photovoltaic Grid-Connected Inverter Based on Particle Swarm Optimization." Mathematical Problems in Engineering 2014 (2014): 1–10. http://dx.doi.org/10.1155/2014/249312.

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This paper is concerned with the problem of optimal control of photovoltaic grid-connected inverter. Firstly, the discrete-time nonlinear mathematical model of single-phase photovoltaic grid-connected inverter in the rotating coordinate system is constructed by the Delta operator, which simplifies the control process and facilitates direct digital realization. Then, a novel optimal control method which is significant to achieve trajectory tracking for photovoltaic grid-connected inverter is developed by constructing a control Lyapunov functional against the difficulty of solving HJB (Hamilton-

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Karrar, Waleed, Zhang Zhen, Ebrahim Mohammed, Waleed M. Ismael, and Zhu Zengwei. "Optimal Operation Management in A Micro-Grid System Using Particle Swarm Optimization." Journal of Physics: Conference Series 1346 (November 2019): 012003. http://dx.doi.org/10.1088/1742-6596/1346/1/012003.

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Hassan, Muhammad Umair, Muhammad Sumair Hassan, and Bjarte Hoff. "Using Point of Common Coupling (PCC) for Power Shaving in Grid Connected Hybridized Network." Journal of Solar Energy Research Updates 12 (March 20, 2025): 6–29. https://doi.org/10.31875/2410-2199.2025.12.02.

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A network that connects all components together is referred to as a grid. A study has been conducted over hybrid system which is a self-sustainable grid. The hybrid system is connected with the grid at Point of Common Coupling (PCC). The aim of this paper is to focus on the behavior of different intermittent energy sources, which are complementary to each other or not. For this purpose, research papers related to different intermittent energy sources are considered, and the behavior of renewable sources in different regions are discussed. Integration of solar, wind and battery sources to main

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Li, Xiangkun, Weimin Wu, Houqing Wang, Ning Gao, Henry Shu-hung Chung, and Frede Blaabjerg. "A New Buck-Boost AC/DC Converter with Two-Terminal Output Voltage for DC Nano-Grid." Energies 12, no. 20 (2019): 3808. http://dx.doi.org/10.3390/en12203808.

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Due to the development and deployment of renewable DC power sources and their inherent advantages for DC loads in applications, the DC nano-grid has attracted more and more research attentions; especially the topologies of AC/DC converters are increasingly studied. When designing an AC to DC converter for a DC nano-grid system, the grounding configuration, which determines the costs, the efficiency as well as the safety, plays an important role. A three-terminal output AC to DC converter based on united grounding configuration has been presented for DC nano-grid. However, it has to be pointed

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Xie, Jicheng, and Yi Tang. "Calculation Method of Hosting Capacity for Distributed Grid-connected Photovoltaic Based on IGWO." Journal of Physics: Conference Series 2465, no. 1 (2023): 012023. http://dx.doi.org/10.1088/1742-6596/2465/1/012023.

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Abstract In recent years, the distribution grid has been taking more and more risks due to the large-scale access of distributed photovoltaics (DPV), including potential problems such as voltage overrun and tidal current reversal, which seriously threaten grid security. Therefore, studying the maximum access capacity of distributed photovoltaics in the distribution grid is a research need nowadays. In this paper, we first establish a distributed PV grid-connected optimization operation model for distribution networks, taking into account multi-dimensional constraints such as voltage, load capa

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Straś, Andrzej, Bartłomiej Ufnalski, and Arkadiusz Kaszewski. "Design of a Repetitive Control for a Three-Phase Grid-Tied Converter under Distorted Grid Voltage Conditions." Energies 16, no. 2 (2023): 754. http://dx.doi.org/10.3390/en16020754.

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The paper presents a design of repetitive control (RC) in the current control system of a three-phase grid-tied converter. The goal of the control system is to provide sinusoidal input filter currents under the conditions of distorted and asymmetrical grid voltage. A novel design of the RC is presented, in which the repetitive part is not excited by sharp and non-periodic changes of the reference signal, but it enables high-quality performance under periodic disturbance conditions. In the proposed system. RC cooperates with a discrete state feedback controller. An innovative approach to tuning

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Regis, N., C. M. Muriithi, and L. Ngoo. "Optimal Battery Sizing of a Grid-Connected Residential Photovoltaic System for Cost Minimization using PSO Algorithm." Engineering, Technology & Applied Science Research 9, no. 6 (2019): 4905–11. http://dx.doi.org/10.48084/etasr.3094.

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This paper proposes a new optimization technique that uses Particle Swarm Optimization (PSO) in residential grid-connected photovoltaic systems. The optimization technique targets the sizing of the battery storage system. With the liberation of power systems, the residential grid-connected photovoltaic system can supply power to the grid during peak hours or charge the battery during non-peak hours for later domestic use or for selling back to the grid during peak hours. However, this can only be achieved when the battery energy system in the residential photovoltaic system is optimized. The d

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Regis, N., C. M. Muriithi, and L. Ngoo. "Optimal Battery Sizing of a Grid-Connected Residential Photovoltaic System for Cost Minimization using PSO Algorithm." Engineering, Technology & Applied Science Research 9, no. 6 (2019): 4905–11. https://doi.org/10.5281/zenodo.3566136.

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This paper proposes a new optimization technique that uses Particle Swarm Optimization (PSO) in residential grid-connected photovoltaic systems. The optimization technique targets the sizing of the battery storage system. With the liberation of power systems, the residential grid-connected photovoltaic system can supply power to the grid during peak hours or charge the battery during non-peak hours for later domestic use or for selling back to the grid during peak hours. However, this can only be achieved when the battery energy system in the residential photovoltaic system is optimized. The d

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Liu, Kexuan, Lixia Zhang, and Wei Kang. "Research on Linear Active Disturbance Rejection Control Based on Grid-Forming Distributed Photovoltaics." Electronics 13, no. 15 (2024): 3017. http://dx.doi.org/10.3390/electronics13153017.

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The “double carbon” policy promotes an increasing ratio of new energy installation and generation capacity annually, reducing system inertia and rendering the grid-forming (GFM) power grid increasingly susceptible to frequency fluctuations and other issues. This paper designs a power–frequency controller for grid-forming distributed photovoltaic systems by integrating LADRC and VSG control, aiming to enhance system robustness and stability under disturbances or faults. Furthermore, this study introduces the particle swarm optimization (PSO) algorithm based on LADRC principles to optimize LADRC

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Deželak, Klemen, Klemen Sredenšek, and Sebastijan Seme. "Energy Consumption and Grid Interaction Analysis of Electric Vehicles Based on Particle Swarm Optimisation Method." Energies 16, no. 14 (2023): 5393. http://dx.doi.org/10.3390/en16145393.

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The widespread adoption of electric vehicles poses certain challenges to the distribution grid, which refers to the network of power lines, transformers, and other infrastructure that delivers electricity from power plants to consumers. This higher demand can strain the distribution grid, particularly in areas with a high concentration of electric vehicles. Grid operators need to ensure that the grid infrastructure can handle this additional load and prevent overloading and consequences in terms of additional losses. As part of the task, a methodology was developed for the assessment of the el

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LAWAL, kabir, Abubakar ADAMU, Gbenga OLARINOYE, and Ibrahim ABDULWAHAB. "ROBUST CONTROLLER FOR A GRID CONNECTED PHOTOVOLTAIC SEMI QUASI INVERTER SYSTEM." Nigerian Journal of Engineering 30, no. 3 (2023): 48. http://dx.doi.org/10.5455/nje.2023.30.03.08.

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This work present semi quasi source inverter (SQSI) that operate on two active state without the application of shoot through mode. An H∞ (H infinity) controller was developed using a generalized plant obtained from SQSI for PV grid connected system. The SQSI reduces the stresses on circuit component, provides ample and also limit the start-up in rush current for power quality and reliability. A salp swarm-based Maximum Power Point Tracking (MPPT) algorithm was used to track the maximum power from the PV (photovoltaic) and closed loop system was obtained to monitor the entire network. The simu

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Sharmila D , A. V. Pra.bu, N. Selvaganesh,. "AUTHORSHIP VERIFICATION USING MODIFIED PARTICLE SWARM OPTIMIZATION ALGORITHM." Psychology and Education Journal 58, no. 1 (2021): 4262–66. http://dx.doi.org/10.17762/pae.v58i1.1492.

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Digital forensics is the study of recovery and investigation of the materials found in digital devices, mainly in computers. Forensic authorship analysis is a branch of digital forensics. It includes tasks such as authorship attribution, authorship verification, and author profiling. In Authorship verification, with a given a set of sample documents D written by an author A and an unknown document d, the task is to find whether document d is written by A or not. Authorship verification has been previously done using genetic algorithms, SVM classifiers, etc. The existing system creates an ensem

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Alsaidan, Ibrahim, Mohd Bilal, Muhannad Alaraj, Mohammad Rizwan, and Fahad M. Almasoudi. "A Novel EA-Based Techno–Economic Analysis of Charging System for Electric Vehicles: A Case Study of Qassim Region, Saudi Arabia." Mathematics 11, no. 9 (2023): 2052. http://dx.doi.org/10.3390/math11092052.

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Because of the fast expansion of electric vehicles (EVs) in Saudi Arabia, a massive amount of energy will be needed to serve these vehicles. In addition, the transportation sector radiates a considerable amount of toxic gases in the form of SO2 and CO2. The national grid must supply a huge amount of electricity on a regular basis to meet the increasing power demands of EVs. This study thoroughly investigates the technical and economic benefits of an off-grid and grid-connected hybrid energy system with various configurations of a solar, wind turbine and battery energy storage system for the el

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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 (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 solut

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