基于退役电池梯次利用的源-储容量优化配置

doi:10.19799/j.cnki.2095-4239.2020.0183

摘要/Abstract

摘要：

本工作以某地区主动配电网中的风光储为研究对象，依托所筛选出来的退役动力电池进行合理组合，建立了以全系统成本、系统负荷缺电率和新能源弃电率为优化目标的分布式电源和储能系统的容量配置模型，采用改进的和声搜索算法进行求解。通过算例仿真分析，验证了所制定的退役电池管理策略的合理性和改进以及声搜索算法的有效性，并且将分布式电源和储能系统同时优化配置，既能够有效支撑配电网络运行、提高能源利用率，又能够降低经济配置成本。

关键词: 退役电池, 梯次利用, 储能系统, 多目标优化, 改进和声搜索算法

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Key words: outdated battery, second-use, battery storage system, multi-objective optimization, improved harmony search algorithm

中图分类号:

TM 615

解坤, 姜成龙, 吴亮璇, 常宏, 樊彬, 陈立铎, 温浩然. 基于退役电池梯次利用的源-储容量优化配置[J]. 储能科学与技术, 2020, 9(S1): 23-30.

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 Optimal capacity-allocation of generation and battery storage system based on cascade utilization of outdated battery[J].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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参考文献 17

1	ADAMO C D, JUPY S, ABBEY C. Global survey on planning and operation of active distribution networks-update of CIGRE C6. 11 working group actives[R]. CIRED'2009, Prague: 2009.
2	王存平, 薄晓东, 许浒, 等. 储能技术在配电系统中的应用及前景探讨[J]. 电子技术应用, 2014, 32(z1): 1-4, 8.
	WANG Cunping, BO Xiaodong, XU Hu, et al. Discussion on application and prospect of energy storage technology in poner distibution system[J]. Application of Eleltronic Technique, 2014, 32(z1):1-4, 8.
3	ZHANG Zuping, LIU Sige, FAN Mingtian. The energy storage application strategy in different voltage levels of distribution[C]//CIRED 2011, Frankfurt, 2011.
4	孙威, 修晓青, 肖海伟, 等. 退役动力电池梯次利用的容量优化配置[J]. 电器与能效管理技术, 2017(19): 72-76.
	SUN Wei, XIU Xiaoqing, XIAO Haiwei, et al. Capacity allocation optimization of second-use of retired EV batteries[J]. Low Voltage Apparatus, 2017(19): 72-76.
5	李娜, 白恺, 王开让, 等. 电动车退役电池梯次利用之储能性能及预测[J]. 电源技术, 2019, 43(3): 445-449.
	LI Na, BAI Kai, WANG Kairang, et al. Performance and prediction of retired electric vehicle battery recycling in electric energy storage condition[J]. Chinese Journal of Power Sources, 2019, 43(3): 445-449.
6	王丰伟. 退役动力电池剩余容量梯次利用的关键技术研究[D]. 沈阳: 沈阳工程学院, 2017.
	WANG Fengwei. Study on the key technology of the residual capacity of retared power battery[D]. Shenyang: Shenyang Institute of Engineering, 2017.
7	VISWANATHAN V V, KINTNER-MEYER M. Second use of transportation batteries: Maximizing the value of batteries for transportation and grid services[J]. IEEE Transanctions on Vehicular Technology, 2011, 60(7): 2963-2965.
8	AHMADI L, FOWLER M, YOUNG S B, et al. Energy efficiency of Li-ion battery packs reused in stationary power application[J]. Sustainable Energy Technologies and Assessments, 2014, 8: 9-17.
9	CELLI G, PILO F, PISANO G, et al. Optimal operation of active distribution networks with distribution energy storage[C]//2th IEEE Energy Conference and Exhibition, 2012: 557-562.
10	曾博, 刘念, 张玉莹, 等. 促进间歇性分布式电源高效利用的主动配电网双层场景规划方法[J]. 电工技术学报, 2013, 28(9): 155-163+171.
	ZENG Bo, LIU Nian, ZHANG Yuying, et al. Bi-level scenario programming of actire distnbution network for promoting intermittent distributed generation uttion[J]. Transactions of China Electrotechical Society, 2013, 28(9): 155-163+171.
11	张广慧. 退役电池储能系统梯次应用研究[D]. 沈阳: 沈阳工程学院, 2018.
	ZHAGN Guanghui. Research on bench application of decommissioned battery storage system[D]. Shenyang: Shenyang Institute of Engineering, 2018.
12	余晓玲, 靳文涛, 韩晓娟, 等. 基于退役动力电池梯次利用的光伏充电站容量配置[J]. 电器与能效管理技术, 2017(13): 39-45+55.
	YU Xiaoling, JIN Wentao, HAN Xiaojuan, et al. Optimized capacity configuration of PV-based electric vehicle station with second-use batteries energy storage system[J]. Low Voltage Apparatus, 2017(13): 39-45+55.
13	张友琅, 张利中, 刘怡, 等. 退役锂电池性能评估及光储应用研究[J]. 电源技术, 2019, 43(7): 1136-1139.
	ZHANG Youliang, ZHANG Lizhong, LIU Yi, et al. Performance ussessment and PV energy storage application of retired Li-ion battery[J]. Chinese Jounal of Power Sources, 2019, 43(7): 1136-1139
14	康丽霞, 麻晨露, 刘永忠. 混合供电系统中退役电池的模块化储能操作优化[J]. 化工学报, 2019, 70(2): 599-606.
	KANG Lilu, MA Chenlu, LIU Yongzhong. Operation optimization of modularized energy storage of retired batteries in hybrid power system[J]. CIESC Journal, 2019, 70(2): 599-606.
15	彭泓, 王兆鑫. 一种改进自适应参数的和声搜索算法[J]. 微电子学与计算机, 2016, 33(12): 38-46.
	PENG Hong, WANG Zhaoxin. An improved adaptive parameters harmony search algorithm[J]. Microelectronics and Computer, 2016, 33(12):38-46.
16	韩红燕, 潘全科, 梁静. 改进的和声搜索算法在函数优化中的应用[J]. 计算机工程, 2010, 36(13): 245-247.
	HAN Hongyan, PAN Quanke, LIANG Jing. Application of improved Harmony search algorithm in function optimization[J]. Computer Engineering, 2010, 36(13): 245-247.
17	陈莹珍, 高岳林. 改进的自适应和声搜索算法[J]. 甘肃联合大学学报, 2011, 25(2): 63-66.
	CHEN Yingzhen, GAO Yuelin. An improved adaptive harmony search algorithm[J]. Journal of Gansu Lianhe University(Natural Sciences), 2011, 25(2): 63-66.

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