Coordinated Day-ahead and Real-time Optimization Model for Distribution Network Considering Reactive Power Compensation of Charging Station
Basic Research|更新时间:2025-06-16
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Coordinated Day-ahead and Real-time Optimization Model for Distribution Network Considering Reactive Power Compensation of Charging Station
Automation of Electric Power SystemsVol. 45, Issue 17, Pages: 27-34(2021)
作者机构:
1.输配电装备及系统安全与新技术国家重点实验室(重庆大学),重庆市 400044
2.重庆工商职业学院电子信息工程学院,重庆市 400052
作者简介:
基金信息:
National Natural Science Foundation of China(52077017);Scientific and Technological Research Program of Chongqing Municipal Education Commission(KJZD-K201804001)
WANG Qianggang,TIAN Yuhe,WANG Jian,et al.Coordinated Day-ahead and Real-time Optimization Model for Distribution Network Considering Reactive Power Compensation of Charging Station[J].Automation of Electric Power Systems,2021,45(17):27-34.
WANG Qianggang,TIAN Yuhe,WANG Jian,et al.Coordinated Day-ahead and Real-time Optimization Model for Distribution Network Considering Reactive Power Compensation of Charging Station[J].Automation of Electric Power Systems,2021,45(17):27-34. DOI: 10.7500/AEPS20201203003.
Coordinated Day-ahead and Real-time Optimization Model for Distribution Network Considering Reactive Power Compensation of Charging Station
Electric vehicles are connected to distribution networks through converter interface of charging piles. The reactive power regulation capability of converters can improve the voltage profile and operation efficiency of the distribution network. This paper proposes a coordinated day-ahead and real-time optimization model for the distribution network considering the reactive power compensation of charging stations. Firstly
a day-ahead optimization model with the optimization objective of minimizing the operation cost of the distribution network is established. The day-ahead active power of the charging station
the switching of capacitor banks and on-load tap changer are determined. According to the results of day-ahead optimization and real-time parameters of electric vehicles
the real-time optimization model of active and reactive power of electric vehicles with the hierarchical coordination between the distribution network and the charging station is established. In order to ensure that each electric vehicle can reach the target state of charge when it leaves
the impact of the state of charge of the electric vehicle at the previous moment is considered to dynamically adjust the boundary of its current state of charge. Finally
the effectiveness of the proposed model is verified by the test in IEEE 33-bus system.
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