Distributed energy storage configuration considering the vulnerability of active distribution network

Large-scale grid-connection of distributed power helps to achieve the goal of "dual carbon", but also exacerbates the vulnerability of active distribution network. The access of energy storage device can effectively support the vulnerable link of power grid. Based on the Gini coefficient a...

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Main Authors: ZHU Peixue, GUO Qian, LI Lingzhi, ZHENG Di, CAI Hui
Format: Article
Language:zho
Published: Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd. 2025-02-01
Series:Diance yu yibiao
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Online Access:http://www.emijournal.net/dcyyben/ch/reader/create_pdf.aspx?file_no=20220526009&flag=1&journal_id=dcyyben&year_id=2025
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author ZHU Peixue
GUO Qian
LI Lingzhi
ZHENG Di
CAI Hui
author_facet ZHU Peixue
GUO Qian
LI Lingzhi
ZHENG Di
CAI Hui
author_sort ZHU Peixue
collection DOAJ
description Large-scale grid-connection of distributed power helps to achieve the goal of "dual carbon", but also exacerbates the vulnerability of active distribution network. The access of energy storage device can effectively support the vulnerable link of power grid. Based on the Gini coefficient and Theil entropy theory, the uniformity of power transmission in the topology of active distribution network and the equilibrium degree of voltage shock distribution in the operation state were evaluated respectively. The comprehensive vulnerability index of each node was constructed from the structure and state, and the installation scope of distributed energy storage was defined. In this paper, a double-layer optimization scheme of distributed energy storage with constant volume is proposed. In the outer layer, the optimal economic benefit is taken as the objective, the improvement degree of energy storage to the vulnerability of distribution network is considered in the constraint conditions, and the energy storage capacity is solved by particle swarm optimization algorithm. The inner layer aims at the optimal effect of peak shaving and valley filling. Based on the constant power charge and discharge strategy of energy storage, the optimal charge and discharge strategy is formulated for different capacities to realize the optimization of energy storage charge and discharge. The calculation results of IEEE 33-node system show that the proposed energy storage configuration method can effectively improve the vulnerability of active distribution network and has economic advantages.
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issn 1001-1390
language zho
publishDate 2025-02-01
publisher Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.
record_format Article
series Diance yu yibiao
spelling doaj-art-332283c548954ae39c4bed6eddcbb7692025-08-20T03:00:58ZzhoHarbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.Diance yu yibiao1001-13902025-02-01622354210.19753/j.issn1001-1390.2025.02.0051001-1390(2025)02-0035-08Distributed energy storage configuration considering the vulnerability of active distribution networkZHU Peixue0GUO Qian1LI Lingzhi2ZHENG Di3CAI Hui4School of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaSchool of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaSchool of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaSchool of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaSchool of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, ChinaLarge-scale grid-connection of distributed power helps to achieve the goal of "dual carbon", but also exacerbates the vulnerability of active distribution network. The access of energy storage device can effectively support the vulnerable link of power grid. Based on the Gini coefficient and Theil entropy theory, the uniformity of power transmission in the topology of active distribution network and the equilibrium degree of voltage shock distribution in the operation state were evaluated respectively. The comprehensive vulnerability index of each node was constructed from the structure and state, and the installation scope of distributed energy storage was defined. In this paper, a double-layer optimization scheme of distributed energy storage with constant volume is proposed. In the outer layer, the optimal economic benefit is taken as the objective, the improvement degree of energy storage to the vulnerability of distribution network is considered in the constraint conditions, and the energy storage capacity is solved by particle swarm optimization algorithm. The inner layer aims at the optimal effect of peak shaving and valley filling. Based on the constant power charge and discharge strategy of energy storage, the optimal charge and discharge strategy is formulated for different capacities to realize the optimization of energy storage charge and discharge. The calculation results of IEEE 33-node system show that the proposed energy storage configuration method can effectively improve the vulnerability of active distribution network and has economic advantages.http://www.emijournal.net/dcyyben/ch/reader/create_pdf.aspx?file_no=20220526009&flag=1&journal_id=dcyyben&year_id=2025distributed energy storagelocating and sizingtheil entropygini coefficientparticle swarm optimization
spellingShingle ZHU Peixue
GUO Qian
LI Lingzhi
ZHENG Di
CAI Hui
Distributed energy storage configuration considering the vulnerability of active distribution network
Diance yu yibiao
distributed energy storage
locating and sizing
theil entropy
gini coefficient
particle swarm optimization
title Distributed energy storage configuration considering the vulnerability of active distribution network
title_full Distributed energy storage configuration considering the vulnerability of active distribution network
title_fullStr Distributed energy storage configuration considering the vulnerability of active distribution network
title_full_unstemmed Distributed energy storage configuration considering the vulnerability of active distribution network
title_short Distributed energy storage configuration considering the vulnerability of active distribution network
title_sort distributed energy storage configuration considering the vulnerability of active distribution network
topic distributed energy storage
locating and sizing
theil entropy
gini coefficient
particle swarm optimization
url http://www.emijournal.net/dcyyben/ch/reader/create_pdf.aspx?file_no=20220526009&flag=1&journal_id=dcyyben&year_id=2025
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AT lilingzhi distributedenergystorageconfigurationconsideringthevulnerabilityofactivedistributionnetwork
AT zhengdi distributedenergystorageconfigurationconsideringthevulnerabilityofactivedistributionnetwork
AT caihui distributedenergystorageconfigurationconsideringthevulnerabilityofactivedistributionnetwork