Islanding strategy for distribution network with high proportion of wind/photovoltaic penetration considering flexible load

There are problems such as uncertain power output and load fluctuation when the distribution network with distributed generator (DG) operates on an island. In order to ensure stable and reliable power supply for islands, a dynamic island partition strategy is proposed which takes into account the st...

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Main Authors: ZHAN Hongxia, XIAO Junwen, DENG Xiaoyong, CHEN Tie, ZHANG Xi, HE Jiangtao
Format: Article
Language:zho
Published: Editorial Department of Electric Power Engineering Technology 2022-07-01
Series:电力工程技术
Subjects:
Online Access:https://www.epet-info.com/dlgcjs/article/html/210708981
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author ZHAN Hongxia
XIAO Junwen
DENG Xiaoyong
CHEN Tie
ZHANG Xi
HE Jiangtao
author_facet ZHAN Hongxia
XIAO Junwen
DENG Xiaoyong
CHEN Tie
ZHANG Xi
HE Jiangtao
author_sort ZHAN Hongxia
collection DOAJ
description There are problems such as uncertain power output and load fluctuation when the distribution network with distributed generator (DG) operates on an island. In order to ensure stable and reliable power supply for islands, a dynamic island partition strategy is proposed which takes into account the standby demand of islands and gives full play to the flexible load regulation ability. Considering the uncertainty of wind power and photovoltaics, a prediction error model is established at first. The depth-first search algorithm is used to obtain the maximum power supply range for each time period, and chance constrained programming is used to deal with the random variables in the model, the island standby demands for each time period is obtained by the maximum power supply range. Then, modified particle swarm optimization (PSO) algorithm is used to give full play to the control ability of flexible load, and the optimal islanding results that meets the standby demand under each confidence levels is obtained with the objective of maximizing the comprehensive recovery value during the failure recovery period. Finally, a modified IEEE 33 node power distribution system is taken as an example to verify that the proposed strategy can effectively increase the value of islands while ensuring the reliability of islands.
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spelling doaj.art-ea8bc6f0d1f14f978f79c14f4fc318c52022-12-22T03:50:00ZzhoEditorial Department of Electric Power Engineering Technology电力工程技术2096-32032022-07-0141410811610.12158/j.2096-3203.2022.04.014Islanding strategy for distribution network with high proportion of wind/photovoltaic penetration considering flexible loadZHAN Hongxia0XIAO Junwen1DENG Xiaoyong2CHEN Tie3ZHANG Xi4HE Jiangtao5School of Electrical and Electronic Information, Xihua University, Chengdu 610039, ChinaSchool of Electrical and Electronic Information, Xihua University, Chengdu 610039, ChinaShinan Power Supply Branch Company of State Grid Chongqing Electric Power Company, Chongqing 400060, ChinaShinan Power Supply Branch Company of State Grid Chongqing Electric Power Company, Chongqing 400060, ChinaShinan Power Supply Branch Company of State Grid Chongqing Electric Power Company, Chongqing 400060, ChinaShinan Power Supply Branch Company of State Grid Chongqing Electric Power Company, Chongqing 400060, ChinaThere are problems such as uncertain power output and load fluctuation when the distribution network with distributed generator (DG) operates on an island. In order to ensure stable and reliable power supply for islands, a dynamic island partition strategy is proposed which takes into account the standby demand of islands and gives full play to the flexible load regulation ability. Considering the uncertainty of wind power and photovoltaics, a prediction error model is established at first. The depth-first search algorithm is used to obtain the maximum power supply range for each time period, and chance constrained programming is used to deal with the random variables in the model, the island standby demands for each time period is obtained by the maximum power supply range. Then, modified particle swarm optimization (PSO) algorithm is used to give full play to the control ability of flexible load, and the optimal islanding results that meets the standby demand under each confidence levels is obtained with the objective of maximizing the comprehensive recovery value during the failure recovery period. Finally, a modified IEEE 33 node power distribution system is taken as an example to verify that the proposed strategy can effectively increase the value of islands while ensuring the reliability of islands.https://www.epet-info.com/dlgcjs/article/html/210708981flexible loadhigh proportion of wind/photovoltaic penetrationisland partitionstandby demandparticle swarm optimization (pso) algorithmchance constrained programming
spellingShingle ZHAN Hongxia
XIAO Junwen
DENG Xiaoyong
CHEN Tie
ZHANG Xi
HE Jiangtao
Islanding strategy for distribution network with high proportion of wind/photovoltaic penetration considering flexible load
电力工程技术
flexible load
high proportion of wind/photovoltaic penetration
island partition
standby demand
particle swarm optimization (pso) algorithm
chance constrained programming
title Islanding strategy for distribution network with high proportion of wind/photovoltaic penetration considering flexible load
title_full Islanding strategy for distribution network with high proportion of wind/photovoltaic penetration considering flexible load
title_fullStr Islanding strategy for distribution network with high proportion of wind/photovoltaic penetration considering flexible load
title_full_unstemmed Islanding strategy for distribution network with high proportion of wind/photovoltaic penetration considering flexible load
title_short Islanding strategy for distribution network with high proportion of wind/photovoltaic penetration considering flexible load
title_sort islanding strategy for distribution network with high proportion of wind photovoltaic penetration considering flexible load
topic flexible load
high proportion of wind/photovoltaic penetration
island partition
standby demand
particle swarm optimization (pso) algorithm
chance constrained programming
url https://www.epet-info.com/dlgcjs/article/html/210708981
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