Multistage Bilevel Planning Model of Energy Storage System in Urban Power Grid Considering Network Reconfiguration

The large-scale integration of renewable energy sources (RESs) and the rapid development of loads cause frequent transmission congestion in the urban power grid (UPG). Transmission system operators usually perform the high-voltage distribution network (HVDN) reconfiguration to mitigate the transmiss...

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Main Authors: Zhongqi Cai, Kun Yang, Yong Chen, Ruixiong Yang, Yanxun Gu, Yu Zeng, Xi Zhang, Sashuang Sun, Sirong Pan, Youbo Liu, Junyong Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.952684/full
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author Zhongqi Cai
Kun Yang
Yong Chen
Ruixiong Yang
Yanxun Gu
Yu Zeng
Xi Zhang
Sashuang Sun
Sirong Pan
Youbo Liu
Junyong Liu
author_facet Zhongqi Cai
Kun Yang
Yong Chen
Ruixiong Yang
Yanxun Gu
Yu Zeng
Xi Zhang
Sashuang Sun
Sirong Pan
Youbo Liu
Junyong Liu
author_sort Zhongqi Cai
collection DOAJ
description The large-scale integration of renewable energy sources (RESs) and the rapid development of loads cause frequent transmission congestion in the urban power grid (UPG). Transmission system operators usually perform the high-voltage distribution network (HVDN) reconfiguration to mitigate the transmission congestion. However, as the loads and RESs change rapidly, the HVDN reconfiguration might be conducted frequently. This might cause severe security problem. An energy storage system (ESS) provides an effective way of alleviating the transmission congestion. If the ESS is installed and operated elaborately, the transmission congestion of UPG can be mitigated with a little HVDN reconfiguration. Hence, this study proposes a multistage bilevel planning model for the optimal allocation of ESS. The upper-level model aims at maximizing the annual comprehensive revenue of HVDN, and the lower-level model focuses on the minimization of the operational cost. Simulation results carried out on a real-world test system verify that the proposed method has the great potential of reducing the investment and operational cost while mitigating the transmission congestion.
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spelling doaj.art-a8511ce700454bbfa9d012f3972c92c32022-12-22T02:46:03ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-08-011010.3389/fenrg.2022.952684952684Multistage Bilevel Planning Model of Energy Storage System in Urban Power Grid Considering Network ReconfigurationZhongqi Cai0Kun Yang1Yong Chen2Ruixiong Yang3Yanxun Gu4Yu Zeng5Xi Zhang6Sashuang Sun7Sirong Pan8Youbo Liu9Junyong Liu10Zhuhai Power Supply Bureau of Guangdong Power Grid, Zhuhai, ChinaZhuhai Power Supply Bureau of Guangdong Power Grid, Zhuhai, ChinaZhuhai Power Supply Bureau of Guangdong Power Grid, Zhuhai, ChinaZhuhai Power Supply Bureau of Guangdong Power Grid, Zhuhai, ChinaZhuhai Power Supply Bureau of Guangdong Power Grid, Zhuhai, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaCollege of Electrical Engineering, Sichuan University, Chengdu, ChinaThe large-scale integration of renewable energy sources (RESs) and the rapid development of loads cause frequent transmission congestion in the urban power grid (UPG). Transmission system operators usually perform the high-voltage distribution network (HVDN) reconfiguration to mitigate the transmission congestion. However, as the loads and RESs change rapidly, the HVDN reconfiguration might be conducted frequently. This might cause severe security problem. An energy storage system (ESS) provides an effective way of alleviating the transmission congestion. If the ESS is installed and operated elaborately, the transmission congestion of UPG can be mitigated with a little HVDN reconfiguration. Hence, this study proposes a multistage bilevel planning model for the optimal allocation of ESS. The upper-level model aims at maximizing the annual comprehensive revenue of HVDN, and the lower-level model focuses on the minimization of the operational cost. Simulation results carried out on a real-world test system verify that the proposed method has the great potential of reducing the investment and operational cost while mitigating the transmission congestion.https://www.frontiersin.org/articles/10.3389/fenrg.2022.952684/fullenergy storage stationmultistage planninghigh-voltage distribution networkcongestion managementnetwork reconfigurationload shedding
spellingShingle Zhongqi Cai
Kun Yang
Yong Chen
Ruixiong Yang
Yanxun Gu
Yu Zeng
Xi Zhang
Sashuang Sun
Sirong Pan
Youbo Liu
Junyong Liu
Multistage Bilevel Planning Model of Energy Storage System in Urban Power Grid Considering Network Reconfiguration
Frontiers in Energy Research
energy storage station
multistage planning
high-voltage distribution network
congestion management
network reconfiguration
load shedding
title Multistage Bilevel Planning Model of Energy Storage System in Urban Power Grid Considering Network Reconfiguration
title_full Multistage Bilevel Planning Model of Energy Storage System in Urban Power Grid Considering Network Reconfiguration
title_fullStr Multistage Bilevel Planning Model of Energy Storage System in Urban Power Grid Considering Network Reconfiguration
title_full_unstemmed Multistage Bilevel Planning Model of Energy Storage System in Urban Power Grid Considering Network Reconfiguration
title_short Multistage Bilevel Planning Model of Energy Storage System in Urban Power Grid Considering Network Reconfiguration
title_sort multistage bilevel planning model of energy storage system in urban power grid considering network reconfiguration
topic energy storage station
multistage planning
high-voltage distribution network
congestion management
network reconfiguration
load shedding
url https://www.frontiersin.org/articles/10.3389/fenrg.2022.952684/full
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