Coordinated optimization of operation strategy and capacity of energy storage equipment in distribution network

doi:10.19799/j.cnki.2095-4239.2023.0873

Abstract

Abstract:

With the large-scale integration of new energy sources such as wind power and photovoltaic power generation, the requirements for power quality and voltage stability in distribution networks are becoming increasingly high. However, the integration of distributed power sources and energy storage devices into the power grid will have a certain impact on the distribution network. Reasonable utilization of energy storage devices is an effective means to improve the quality of power supply and reduce energy loss in the distribution network. In order to improve the operational efficiency and reliability of energy storage equipment, control strategies based on battery management systems, energy management systems, maximum power point tracking, predictive models, and energy recovery are particularly important. These strategies can ensure the normal operation of energy storage equipment, real-time monitoring, adjusting charging and discharging status, optimizing energy utilization, improving conversion efficiency, and achieving reliable energy supply. Due to the direct relationship between the normal operation of energy storage equipment in distribution networks and energy storage capacity, coordinating and optimizing the operation strategy and capacity of energy storage equipment in distribution networks is of great significance for promoting the development of energy storage science.

Key words: distribution network, energy storage equipment, operation strategy, capacity, coordination and optimization

CLC Number:

TK 02

Yang ZHANG, Shenghu TAO, Xiaobo ZHANG, Dongfeng ZHENG, Zhouyi CHEN. Coordinated optimization of operation strategy and capacity of energy storage equipment in distribution network[J]. Energy Storage Science and Technology, 2024, 13(3): 903-905.

References 8

1	刘文霞, 王舒, 张雯程, 等. 考虑需求侧电价的配电网储能设备运行策略与容量的协调优化[J]. 现代电力, 2018, 35(5): 70-78.
	LIU W X, WANG S, ZHANG W C, et al. The coordination optimization method of operation strategy and capacity of energy storage devices in distribution network considering demand side electricity price[J]. Modern Electric Power, 2018, 35(5): 70-78.
2	朱超, 胥凯文, 王志华, 等. 空气源热泵耦合相变储能的容量配置优化[J]. 化学工程, 2023, 51(11): 84-90.
	ZHU C, XU K W, WANG Z H, et al. Capacity allocation optimization of coupled phase change energy storage system of air source heat pump[J]. Chemical Engineering (China), 2023, 51(11): 84-90.
3	莫海勇.基于高比例新能源参与的储能系统容量优化研究[J].电气应用,2023,42(10):1-8.
4	赵瑞锋, 郑文杰, 余志文, 等. 基于合作博弈的光伏产销者分布式储能容量优化配置[J]. 可再生能源, 2023, 41(10): 1391-1400.
5	王利猛, 曲洋, 刘宇途, 等. 基于电力大数据的用户储能最优配置[J]. 电器与能效管理技术, 2023(9): 32-38, 54.
6	石基辰, 周云海, 崔黎丽, 等. 风储联合调频中储能的容量优化配置[J]. 水电与新能源, 2023, 37(9): 24-28.
7	刘唯, 王奎, 陈锁, 等. 高比例可再生能源背景下移动式储能规划[J]. 四川水力发电, 2023, 42(S1): 13-21+59.
8	刘丹, 刘方. 风光储系统储能容量协调优化[J]. 热力发电, 2021, 50(6): 54-59.

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