Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources

In this paper, a new optimal load shedding method using a grasshopper optimization algorithm (GOA) is proposed for maintaining the stability of the islanded power system that comprises distributed energy resources (DER). The GOA is used in conjunction with the method of voltage stability margin (VSM...

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發表在:Ain Shams Engineering Journal
主要作者: 2-s2.0-85131122625
格式: Article
語言:English
出版: Ain Shams University 2023
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131122625&doi=10.1016%2fj.asej.2022.101835&partnerID=40&md5=db60a1aa33c17bc7429f55f557bf979f
id Ahmadipour M.; Murtadha Othman M.; Salam Z.; Alrifaey M.; Mohammed Ridha H.; Veerasamy V.
spelling Ahmadipour M.; Murtadha Othman M.; Salam Z.; Alrifaey M.; Mohammed Ridha H.; Veerasamy V.
2-s2.0-85131122625
Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
2023
Ain Shams Engineering Journal
14
1
10.1016/j.asej.2022.101835
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131122625&doi=10.1016%2fj.asej.2022.101835&partnerID=40&md5=db60a1aa33c17bc7429f55f557bf979f
In this paper, a new optimal load shedding method using a grasshopper optimization algorithm (GOA) is proposed for maintaining the stability of the islanded power system that comprises distributed energy resources (DER). The GOA is used in conjunction with the method of voltage stability margin (VSM) to handle the multi-objective shedding constraints, namely the generation restrictions, allowable load curtailment, and load priority. To assess the effectiveness of the offered method, a comprehensive evaluation study is applied to a system of IEEE 33-bus and four DG units in view of different scenarios. Furthermore, the effectiveness of performance of the GOA-based load shedding is compared in terms of fitness value, voltage stability margin, and percentage of load that should be curtailed with three well-known optimization approaches (i.e., the particle swarm optimization (PSO), grey wolf optimization (GW), and genetic algorithm (GA)) under different islanded scenarios. The obtained results show that the performance of the proposed method is better than other methods with the less value of load curtailed for totally islanded states (i.e., 45.67% for island A, 16.63% for island B, 38.05% for island C, and 27.98% for island D in this study). In addition, the results of the simulation display the efficacy of the proposed scheme to ensure voltage stability with the optimal load quantity to be shed for dissimilar islanding scenarios. © 2022
Ain Shams University
20904479
English
Article
All Open Access; Gold Open Access
author 2-s2.0-85131122625
spellingShingle 2-s2.0-85131122625
Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
author_facet 2-s2.0-85131122625
author_sort 2-s2.0-85131122625
title Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
title_short Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
title_full Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
title_fullStr Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
title_full_unstemmed Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
title_sort Optimal load shedding scheme using grasshopper optimization algorithm for islanded power system with distributed energy resources
publishDate 2023
container_title Ain Shams Engineering Journal
container_volume 14
container_issue 1
doi_str_mv 10.1016/j.asej.2022.101835
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131122625&doi=10.1016%2fj.asej.2022.101835&partnerID=40&md5=db60a1aa33c17bc7429f55f557bf979f
description In this paper, a new optimal load shedding method using a grasshopper optimization algorithm (GOA) is proposed for maintaining the stability of the islanded power system that comprises distributed energy resources (DER). The GOA is used in conjunction with the method of voltage stability margin (VSM) to handle the multi-objective shedding constraints, namely the generation restrictions, allowable load curtailment, and load priority. To assess the effectiveness of the offered method, a comprehensive evaluation study is applied to a system of IEEE 33-bus and four DG units in view of different scenarios. Furthermore, the effectiveness of performance of the GOA-based load shedding is compared in terms of fitness value, voltage stability margin, and percentage of load that should be curtailed with three well-known optimization approaches (i.e., the particle swarm optimization (PSO), grey wolf optimization (GW), and genetic algorithm (GA)) under different islanded scenarios. The obtained results show that the performance of the proposed method is better than other methods with the less value of load curtailed for totally islanded states (i.e., 45.67% for island A, 16.63% for island B, 38.05% for island C, and 27.98% for island D in this study). In addition, the results of the simulation display the efficacy of the proposed scheme to ensure voltage stability with the optimal load quantity to be shed for dissimilar islanding scenarios. © 2022
publisher Ain Shams University
issn 20904479
language English
format Article
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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