LAPSE:2023.7340
Published Article
LAPSE:2023.7340
Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods
February 24, 2023
Abstract
The modest objective is to check the integrated effect of energy storage systems (ESSs) and distributed generations (DGs) and compare the optimization of the size and location of ESS and DG to explore its challenges for smart grids (SGs) modernization. The research enlisted different algorithms for cost-effectiveness, security, voltage control, and less power losses. From this perspective, optimization of the distribution network’s energy storage and capacity are being performed using a variety of methods, including the particle swarm, ant-lion optimization, genetic, and flower pollination algorithms. The experimental outcomes demonstrate the effectiveness of these techniques in lowering distribution network operating costs and controlling system load fluctuations. The efficiency and dependability of the distribution network (DN) are both maximized by these strategies.
The modest objective is to check the integrated effect of energy storage systems (ESSs) and distributed generations (DGs) and compare the optimization of the size and location of ESS and DG to explore its challenges for smart grids (SGs) modernization. The research enlisted different algorithms for cost-effectiveness, security, voltage control, and less power losses. From this perspective, optimization of the distribution network’s energy storage and capacity are being performed using a variety of methods, including the particle swarm, ant-lion optimization, genetic, and flower pollination algorithms. The experimental outcomes demonstrate the effectiveness of these techniques in lowering distribution network operating costs and controlling system load fluctuations. The efficiency and dependability of the distribution network (DN) are both maximized by these strategies.
Record ID
Keywords
distributed generation, energy storage system, evolution, modernization, renewable energy sources, smart grids, soft computing
Subject
Suggested Citation
Rajagopalan A, Swaminathan D, Alharbi M, Sengan S, Montoya OD, El-Shafai W, Fouda MM, Aly MH. Modernized Planning of Smart Grid Based on Distributed Power Generations and Energy Storage Systems Using Soft Computing Methods. (2023). LAPSE:2023.7340
Author Affiliations
Rajagopalan A: School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, India [ORCID]
Swaminathan D: School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, India [ORCID]
Alharbi M: Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia [ORCID]
Sengan S: Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli 627152, Tamil Nadu, India [ORCID]
Montoya OD: Grupo de Compatibilidad e Interferencia Electromagnética (GCEM), Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia; Laboratorio Inteligente de Energía, Universidad Tecnológica de Bolívar, Cartagena 1310 [ORCID]
El-Shafai W: Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh 11586, Saudi Arabia; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt [ORCID]
Fouda MM: Department of Electrical and Computer Engineering, College of Science and Engineering, Idaho State University, Pocatello, ID 83209, USA [ORCID]
Aly MH: Electronics and Communications Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria P.O. Box 1029, Egypt [ORCID]
Swaminathan D: School of Electrical Engineering, Vellore Institute of Technology, Chennai 600127, Tamil Nadu, India [ORCID]
Alharbi M: Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia [ORCID]
Sengan S: Department of Computer Science and Engineering, PSN College of Engineering and Technology, Tirunelveli 627152, Tamil Nadu, India [ORCID]
Montoya OD: Grupo de Compatibilidad e Interferencia Electromagnética (GCEM), Facultad de Ingeniería, Universidad Distrital Francisco José de Caldas, Bogotá 110231, Colombia; Laboratorio Inteligente de Energía, Universidad Tecnológica de Bolívar, Cartagena 1310 [ORCID]
El-Shafai W: Security Engineering Lab, Computer Science Department, Prince Sultan University, Riyadh 11586, Saudi Arabia; Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf 32952, Egypt [ORCID]
Fouda MM: Department of Electrical and Computer Engineering, College of Science and Engineering, Idaho State University, Pocatello, ID 83209, USA [ORCID]
Aly MH: Electronics and Communications Engineering Department, College of Engineering and Technology, Arab Academy for Science, Technology and Maritime Transport, Alexandria P.O. Box 1029, Egypt [ORCID]
Journal Name
Energies
Volume
15
Issue
23
First Page
8889
Year
2022
Publication Date
2022-11-24
ISSN
1996-1073
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Original Submission
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PII: en15238889, Publication Type: Journal Article
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LAPSE:2023.7340
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https://doi.org/10.3390/en15238889
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