Dual feeder load optimization and peak shaving potential analysis based on charging pile selection strategy

被引：0
作者：
Li X. [1 ]
Yang J. [2 ]
Liu Y. [1 ]
Zeng S. [1 ]
Huang G. [2 ]
机构：
[1] Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd., Guangzhou
[2] Guangzhou Power Electrical Technology Co.,Ltd., Guangzhou
来源：
Dianli Zidonghua Shebei/Electric Power Automation Equipment | 2022年 / 42卷 / 04期
关键词：
Charging pile selection; Dual feeders; Electric vehicles; Load balance degree; Peak load shaving;
D O I：
10.16081/j.epae.202201021
中图分类号：
学科分类号：
摘要：
In order to improve the economy and safety of distribution network operation in the scenario where charging stations are connected to dual feeders through multiple transformers, the strategy for EVs(Electric Vehicles) to select charging piles connected to different feeders in a charging station is proposed to improve the load balance degree of feeders and achieve peak load shaving. The connection methods of the charging station to dual feeders and the principle of charging pile optimization selection are described, and the applicable scenarios and implementation conditions of charging pile selection strategy are proposed. The optimization objective of charging pile selection strategy is established from the perspective of improving the load balance degree of feeders. The reasonable distribution method of charging pile capacity connected to different feeders is proposed, and the optimization process and solution method of charging pile selection strategy are designed, so that the charging pile selection strategy can serve the demand of power grid side. The effectiveness of the proposed charging pile selection strategy to improve the load balance degree of feeders is verified by simulation analysis of an example, and the peak load shaving potential of the strategy is evaluated. As a result, it is suggested that medium and large charging stations can use multiple transfor-mers to connect to two 10 kV feeders, so as to increase the regulation potential of charging load. © 2022, Electric Power Automation Equipment Press. All right reserved.
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页码：34 / 40
页数：6
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