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山东大学学报 (工学版) ›› 2019, Vol. 49 ›› Issue (4): 123-129.doi: 10.6040/j.issn.1672-3961.0.2018.554

• 电气工程 • 上一篇    下一篇

基于层次分析法的梯次利用电池储能系统运行性能量化评估

李先栋1(),王飞2,曹永吉3,*(),王李龑1,王琳1,卢奕3,刘子菡3   

  1. 1. 国网山东省电力公司聊城供电公司, 山东 聊城 252200
    2. 国网山东省电力公司，山东 济南 250001
    3. 山东大学电网智能化调度与控制教育部重点实验室, 山东 济南 250061
  • 收稿日期:2018-05-04 出版日期:2019-08-20 发布日期:2019-08-06
  • 通讯作者: 曹永吉 E-mail:fazhancehuabu@126.com;caoyongji1991@163.com
  • 作者简介:李先栋(1982—)，男，山东聊城人，工程师，主要研究方向为电网规划和新能源发电技术. E-mail: fazhancehuabu@126.com
  • 基金资助:
    国网山东省电力公司科技项目资助(2018A-021)

Analytic hierarchy process based quantitative performance evaluation of second-use battery energy storage system

Xiandong LI1(),Fei WANG2,Yongji CAO3,*(),Lilong WANG1,Lin WANG1,Yi LU3,Zihan LIU3   

  1. 1. Liaocheng Power Supply Company, State Grid Shandong Electric Power Company, Liaocheng 252200, Shandong, China
    2. State Grid Shandong Electric Power Company, Jinan 250001, Shandong, China
    3. Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education, Shandong University, Jinan 250061, Shandong, China
  • Received:2018-05-04 Online:2019-08-20 Published:2019-08-06
  • Contact: Yongji CAO E-mail:fazhancehuabu@126.com;caoyongji1991@163.com
  • Supported by:
    国网山东省电力公司科技项目资助(2018A-021)

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摘要：

针对主动配电网中梯次利用电池储能系统运行性能评估问题,考虑梯次利用电池储能系统运行效益和电气量特征,提出一种基于层次分析的评估方法。构建储能系统运行性能量化评估框架,以主配网功率交换量和波动性改善程度为指标衡量储能系统运行效益,以并网点电压波动、三相不平衡度和电流谐波含量为指标衡量储能系统运行电气量特征。利用层次分析法确定各同层量化指标间的相对权重,由底层量化指标逐层向上线性加权计算得到储能系统运行性能综合评估指标值。研制基于动态重构策略的15 kW/30 (kW·h)梯次利用电池储能系统样机,在某典型高可再生能源渗透率主动配网中进行为期10 d的现场挂网试验,以试验数据为算例对提出方法的有效性进行验证。算例分析表明:梯次利用电池储能系统运行电气量特征良好,能够减少主配网功率交换量,平抑功率波动,提高可再生能源消纳。

关键词: 主动配电网, 梯次利用电池, 层次分析法, 量化评估

Abstract:

In order to assess the operation performance of second-use battery energy storage system, a comprehensive assessment method was proposed based on the analytic hierarchy process, in which the operation benefits and electrical characteristics were considered simultaneously. A quantitative assessment frame was constructed, where the amount and fluctuation of exchanging power between the active distribution network and the main grid were utilized to quantify the operation benefits and the voltage fluctuation, three-phase imbalance factor and harmonic current of grid-connection point were utilized to quantify the electrical characteristics. The weights of indices at the same level were obtained by the analytic hierarchy process and the comprehensive index value was calculated by the weighted summing of quantitative index values. 15 kW/30 (kW·h) prototype of second-use battery energy storage system was developed based on the dynamic reconstructing strategy and applied to the ten-day on-line test, from which the field data were obtained and used to validate the effectiveness of the proposed method. The case study results indicated that the second-use battery energy storage system had satisfactory electrical characteristics and could decrease the exchanging power, smooth the power fluctuation and improve the renewable energy accommodation.

Key words: active distribution network, second-use battery, analytic hierarchy process, quantitative evaluation

中图分类号: 

  • TM61

图1

SUBESS运行性能评估框架"

图2

试验ADN拓扑结构示意图"

图3

SUBESS样机挂网试验现场"

表1

分布式电源装机容量"

分布式电源装机容量/kW
PV 122
PV 227
PV 315
PV 427
PV 530
PV 630
SUBESS15

表2

试验采集数据信息"

数据类型时间分辨率
ADN并网点电压和电流1 ms/1 ms
SUBESS响应功率100 ms
SUBESS并网点电压和电流7.5 s/1 h
光伏发电功率1 min
三相负荷电压和电流1 h/1 h

图4

上网功率交换量对比"

表3

上网功率交换量评估结果"

%
Re, oRe, bCr
12.1610.3614.78

图5

上网功率波动性对比"

表4

上网功率波动性评估结果"

%
Se, oSe, bCv
169.09149.7611.43

表5

电压波动性与三相不平衡度计算结果"

%
样机是/否并网电压变异系数SgRg, maxDg, max
是0.387 02.297 62.731 4
否0.455 22.601 83.140 2

表6

电流谐波含量计算结果"

%
评估指标样机并网前Hg样机并网后Hg
A相电流0.578 10.971 1
B相电流0.542 01.292 2
C相电流0.548 91.377 8
1 叶林, 屈晓旭, 么艳香, 等. 风光水多能互补发电系统日内时间尺度运行特性分析[J]. 电力系统自动化, 2018, 42 (4): 158- 164.
YE Lin , QU Xiaoxu , YAO Yanxiang , et al. Analysis on intraday operation characteristics of hybrid wind-solar-hydro power generation system[J]. Automation of Electric Power Systems, 2018, 42 (4): 158- 164.
2 鲁宗相, 李海波, 乔颖. 高比例可再生能源并网的电力系统灵活性评价与平衡机理[J]. 中国电机工程学报, 2017, 37 (1): 9- 19.
LU Zongxiang , LI Haibo , QIAO Ying . Flexibility evaluation and supply/demand balance principle of power system with high-penetration renewable electricity[J]. Proceedings of the CSEE, 2017, 37 (1): 9- 19.
3 刘晓明, 许乃媛, 杨斌, 等. 全球能源互联网受端特高压网架双阶段优化[J]. 山东大学学报(工学版), 2017, 47 (6): 1- 6.
LIU Xiaoming , XU Naiyuan , YANG bin , et al. Bi-stage optimization method for receiving-end ultra-high voltage network planning under global energy interconnection[J]. Journal of Shandong University (Engineering Science), 2017, 47 (6): 1- 6.
4 ZHANG H X , CAO Y J , ZHANG Y , et al. Quantitative synergy assessment of regional wind-solar energy resources based on MERRA reanalysis data[J]. Applied Energy, 2018, 216, 172- 182.
doi: 10.1016/j.apenergy.2018.02.094
5 王飞, 宋士瞻, 曹永吉, 等. 基于连续小波变换的风光发电资源多尺度评估[J]. 山东大学学报(工学版), 2018, 48 (5): 124- 130.
WANG Fei , SONG Shizhan , CAO Yongji , et al. Multi-scale assessment of wind-solar generation resources based on continuous wavelet transform[J]. Journal of Shandong University (Engineering Science), 2018, 48 (5): 124- 130.
6 CAO Y J , ZHANG Y , ZHANG H X , et al. Probabilistic Optimal PV capacity planning for wind farm expansion based on NASA data[J]. IEEE Transactions on Sustainable Energy, 2017, 8 (3): 1291- 1300.
doi: 10.1109/TSTE.2017.2677466
7 丁明, 王伟胜, 王秀丽, 等. 大规模光伏发电对电力系统影响综述[J]. 中国电机工程学报, 2014, 34 (1): 1- 14.
DING Ming , WANG Weisheng , WANG Xiuli , et al. A review on the effect of large-scale pv generation on power systems[J]. Proceedings of the CSEE, 2014, 34 (1): 1- 14.
8 胡娟, 杨水丽, 侯朝勇, 等. 规模化储能技术典型示范应用的现状分析与启示[J]. 电网技术, 2015, 39 (4): 879- 885.
HU Juan , YANG Shuili , HOU Chaoyong , et al. Present condition analysis on typical demonstration application of large-scale energy storage technology and its enlightenment[J]. Power System Technology, 2015, 39 (4): 879- 885.
9 张明霞, 闫涛, 来小康, 等. 电网新功能形态下储能技术的发展愿景和技术路径[J]. 电网技术, 2018, 42 (5): 1370- 1377.
ZHANG Mingxia , YAN Tao , LAI Xiaokang , et al. Technology vision and route of energy storage under new power grid function configuration[J]. Power System Technology, 2018, 42 (5): 1370- 1377.
10 李建林, 修晓青, 刘道坦, 等. 计及政策激励的退役动力电池储能系统梯次应用研究[J]. 高电压技术, 2015, 41 (8): 2562- 2568.
LI Jianlin , XIU Xiaoqing , LIU Daotan , et al. Research on second use of retired electric vehicle battery energy storage system considering policy incentive[J]. High Voltage Engineering, 2015, 41 (8): 2562- 2568.
11 VISWANATHAN V V , KINTNER-MEYER M . Second use of transportation batteries:maximizing the value of batteries for transportation and grid services[J]. IEEE Transactions on Vehicular Technology, 2011, 60 (7): 2963- 2970.
doi: 10.1109/TVT.2011.2160378
12 李圆圆, 霍炜, 朱智富, 等. 快速收敛的梯次电池成组技术[J]. 高电压技术, 2018, 44 (1): 169- 175.
LI Yuanyuan , HUO Wei , ZHU Zhifu , et al. Fast convergence of the second-use battery group technology[J]. High Voltage Engineering, 2018, 44 (1): 169- 175.
13 王开让, 白恺, 李娜, 等. 电动汽车动力电池梯次利用寿命预测方法研究[J]. 全球能源互联网, 2018, 1 (3): 375- 382.
WANG Kairang , BAI Kai , LI Na , et al. Research on life prediction for second-use of electric vehicle power battery[J]. Journal of Global Energy Interconnection, 2018, 1 (3): 375- 382.
14 李军徽, 范兴凯, 穆钢, 等. 应用于电网调频的储能系统经济性分析[J]. 全球能源互联网, 2018, 1 (3): 355- 360.
LI Junhui , FAN Xingkai , MU Gang , et al. Economic analysis of energy storage applied to grid frequency regulation[J]. Journal of Global Energy Interconnection, 2018, 1 (3): 355- 360.
15 熊雄, 杨仁刚, 叶林, 等. 电力需求侧大规模储能系统经济性评估[J]. 电工技术学报, 2013, 28 (9): 224- 230.
doi: 10.3969/j.issn.1000-6753.2013.09.027
XIONG Xiong , YANG Rengang , YE Lin , et al. Economic evaluation of large-scale energy storage allocation in power demand side[J]. Transactions of China Electrotechnical Society, 2013, 28 (9): 224- 230.
doi: 10.3969/j.issn.1000-6753.2013.09.027
16 黄碧斌, 李琼慧. 储能支撑大规模分布式光伏接入的价值评估[J]. 电力自动化设备, 2016, 36 (6): 88- 93.
HUANG Bibin , LI Qionghui . Value assessment for energy storage in supporting large-scale integration of distributed PVs[J]. Electric Power Automation Equipment, 2016, 36 (6): 88- 93.
17 李晓宇, 徐佳宁, 胡泽徽, 等. 磷酸铁锂电池梯次利用健康特征参数提取方法[J]. 电工技术学报, 2018, 33 (1): 9- 16.
LI Xiaoyu , XU Jianing , HU Zehui , et al. The health parameter estimation method for LiFePO4 battery echelon use[J]. Transactions of China Electrotechnical Society, 2018, 33 (1): 9- 16.
18 董喜乐, 张彩萍, 姜久春. 一种新型大规模梯次利用电池组建模仿真方法[J]. 全球能源互联网, 2018, 1 (3): 369- 374.
DONG Xile , ZHANG Caiping , JIANG Jiuchun . A new modeling and simulation method for large scale second-use battery pack[J]. Journal of Global Energy Interconnection, 2018, 1 (3): 369- 374.
19 赵光金, 邱武斌. 退役磷酸铁锂电池容量一致性及衰减特征研究[J]. 全球能源互联网, 2018, 1 (3): 383- 388.
ZHAO Guangjin , QIU Wubin . Research on consistency of capacity performance and its fading characteristics for retired power batteries[J]. Journal of Global Energy Interconnection, 2018, 1 (3): 383- 388.
20 李娜, 刘喜梅, 白恺, 等. 梯次利用电池储能电站经济性评估方法研究[J]. 可再生能源, 2017, 35 (6): 926- 932.
doi: 10.3969/j.issn.1671-5292.2017.06.020
LI Na , LIU Ximei , BAI Kai , et al. Research on the economic evaluation method of secondary battery energy storage[J]. Renewable Energy Resources, 2017, 35 (6): 926- 932.
doi: 10.3969/j.issn.1671-5292.2017.06.020
21 LI H , ALSOLAMI M , YANG S , et al. Lifetime test design for second-use electric vehicle batteries in residential applications[J]. IEEE Transactions on Sustainable Energy, 2017, 8 (4): 1736- 1746.
doi: 10.1109/TSTE.2017.2707565
22 MARTINEZARTINEZ-LASERNA E , SARASKETA ZA-BALA E , VILLARREAL I , et al. Technical viability of battery second life: a study from the ageing perspective[J]. IEEE Transactions on Industry Applications, 2018, 54 (3): 2703- 2713.
doi: 10.1109/TIA.2018.2801262
23 李娟, 薛永端, 徐丙垠, 等. 基于层次分析的电力系统暂态模型评价方法[J]. 电网技术, 2013, 37 (8): 2207- 2211.
LI Juan , XUE Yongduan , XU Bingyin , et al. An analytic hierarchy process based assessment method for power system transient models[J]. Power System Technology, 2013, 37 (8): 2207- 2211.
24 李晓辉, 李小宇. 基于层次分析法的现状电网评估方法研究[J]. 电力系统保护与控制, 2008, 36 (14): 57- 61.
LI Xiaohui , LI Xiaoyu . The research on the evaluation system for existing network based on analytic hierarchy process and Delphi method[J]. Power System Protection and Control, 2008, 36 (14): 57- 61.
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