计及需求侧响应的用户侧储能最优运行决策分析

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Abstract During the peak period of summer electricity consumption, the participation of user-side energy storage in demand-side response can improve the economic efficiency of electricity consumption. This article first analyzes the incentive-based demand response mechanism; then establishes a mathematical optimization model for user-side energy storage to participate in peak and valley arbitrage, demand response and maximum demand management, and obtains the optimal charging and discharging strategy for energy storage as well as optimizes user participation in demand response; a user-side energy storage full-cycle cost-benefit model is established to compare the energy storage cost recovery period before and after participating in demand response. The analysis of the calculation examples in this paper shows that the participation of user-side energy storage in demand response reduces the electricity bills paid by users, shortens the recovery period of energy storage costs, and improves the economy of electricity consumption.

Key words： user side energy storage system demand response optimization

Received: 20 July 2020

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	Articles by authors
	XIAO Jing¹
	WU Ning¹
	FENG Yubin¹
	LIN Rui²
	HAN Shuai¹

Cite this article:

XIAO Jing¹,WU Ning¹,FENG Yubin¹等. Decision analysis for optimal operation of user-side energy storage considering demand-side response[J]. Electrical Engineering, 2021, 22(3): 20-25.

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http://dqjs.cesmedia.cn/EN/Y2021/V22/I3/20

[1] 吉斌, 朱敏健, 张怀宇, 等. 基于区块链技术的电力交易流程建模研究[J]. 电气技术, 2020, 21(6): 26-34.
[2] NAYAK C K, NAYAK M R.Optimal design of battery energy storage system for peak load shaving and time of use pricing[C]//2017 Second International Con- ference on Electrical, Computer and Communication Technologies (ICECCT), 2017: 1-7.
[3] 孙建军, 张世泽, 曾梦迪, 等. 考虑分时电价的主动配电网柔性负荷多目标优化控制[J]. 电工技术学报, 2018, 33(2): 401-412.
[4] 王守相, 张善涛, 王凯, 等. 计及分时电价下用户需求响应的分布式储能多目标优化运行[J]. 电力自动化设备, 2020, 40(1): 125-132.
[5] NARIMANI M R, ASGHARI B, SHARMA R.Energy storage control methods for demand charge reduction and PV utilization improvement[C]//2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 2017: 1-5.
[6] 陈丽娟, 吴甜恬, 柳惠波, 等. 基于需量管理的两阶段大用户储能优化模型[J]. 电力系统自动化, 2019, 43(1): 194-200.
[7] 赵乙潼, 王慧芳, 何奔腾, 等. 面向用户侧的电池储能配置与运行优化策略[J]. 电力系统自动化, 2020, 44(6): 121-128.
[8] 李秀磊, 耿光飞, 季玉琦, 等. 主动配电网中储能和需求侧响应的联合优化规划[J]. 电网技术, 2016, 40(12): 3803-3810.
[9] 张赢, 董立军, 黄雯. 国内需求响应发展障碍分析及展望[J]. 电气技术, 2017, 18(7): 1-4, 10.
[10] 田世明, 王蓓蓓, 张晶. 智能电网条件下的需求响应关键技术[J]. 中国电机工程学报, 2014, 34(22): 3575-3589.
[11] 齐先军, 程桥, 吴红斌, 等. 激励型需求响应对配电网运行可靠性的影响[J]. 电工技术学报, 2018, 33(22): 5319-5326.
[12] 李相俊, 王上行, 惠东. 电池储能系统运行控制与应用方法综述及展望[J]. 电网技术, 2017, 41(10): 3315-3325.