Optimal capacity-allocation of generation and battery storage system based on cascade utilization of outdated battery

doi:10.19799/j.cnki.2095-4239.2020.0183

Abstract

Abstract:

This paper focuses on the distributed wind power generation system; photovoltaic power generation system and battery storage system, in the active distribution network. Based on the selected decommissioned power batteries, the capacity configuration model of the distributed power supply and battery storage system is established, which aims at the whole system cost, system load shortage rate, and new energy waste rate. To address these issues, an improved harmony search algorithm is. Through the simulation analysis, the rationality of the retired battery management strategy and the effectiveness of the improved harmony search algorithm is verified. Both the distributed power supply and battery storage system can be optimized at the same time, which can not only effectively support the operation of the distribution network and improve the energy utilization rate but also reduce the cost of economic allocation. Considering the wind speed, solar irradiance, and load demand data of the summer typical day and winter typical day in an active distribution network, the multi-objective optimal allocation model includes the allocation of capacity and cost of the distributed generation and energy storage system, new energy abandoned power rate and loss of power supply probability. The improved harmony search algorithm is used to solve the problem. Finally, the correctness and effectiveness of the harmony search algorithm and optimal allocation model are verified by the configuration results.

Key words: outdated battery, second-use, battery storage system, multi-objective optimization, improved harmony search algorithm

CLC Number:

TM 615

Kun XIE, Chenglong JIANG, Liangxuan WU, Hong CHANG, Bin FAN, Liduo CHEN, Haoran WEN. Optimal capacity-allocation of generation and battery storage system based on cascade utilization of outdated battery[J]. Energy Storage Science and Technology, 2020, 9(S1): 23-30.

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规格参数	多晶硅光伏板
组件尺寸/mm	1640×990×35
电池片数目/个	60（6×10）
额定功率/W	250
单价成本/元	750
日运行成本/元	0.2
日维护成本/元	0.04

规格参数	风力发电机
切入风速/m·s^-1	3
额定风速/m·s^-1	13
切出风速/m·s^-1	23
额定功率/kW	20
单价成本/元	100000
日运行成本/元	27.4
日维护成本/元	5.48

规格参数	储能设备
额定电量/A·h	2000
额定电压/V	2
额定容量/kW·h	4
荷电常数/%	20～90
充放电效率/%	95
自放电率/%	4
最大充电速率/h^-1	0.2
最大放电速率/h^-1	0.4
单价成本/元	8000
日运行成本/元	2.19
日维护成本/元	0.44

规格参数	逆变器	逆变器
额定输入功率/kW	300	200
转换效率/%	95	95
单价成本/元	180000	120000
日运行成本/元	49.4	32.9
日维护成本/元	9.9	6.6

设备	数目/台	额定功率/kW	配置成本/万元
光伏板	9	225	67.5
风机	49	980	490
储能装置	146	584	116.8
逆变器	1	300	18
配置成本	205	2089	692.3