Home > Archive>Volume 36, Issue 6, 2017 >27-31,77. DOI:10.19464/j.cnki.cn32-1541/tm.2017.06.005
PDF HTML XML Export Cite reminder
Economic Analysis of Echelon Battery Energy Storage Based on Artificial Fish Swarm Algorithm
Author:
Fund Project:

Project supported by National Natural Science Foundation of China (51577065)

  • Article
    • | |
  • Metrics
    • |
  • Reference [23]
    • |
  • Related [20]
    • | | |
  • Comments
    Abstract:

    Large scale renewable energy such as wind power grid, photovoltaic grid and others has brought great challenges to the grid's afety and stability. Energy storage system should be configured so as to stabilize the power fluctuation and achieve energy smooth transfer. Under the application scenario of photovoltaic power plant，the echelon battery storage' optimal planning is analyzed in the mode of stabilizing the photovoltaic power fluctuation . Economic evaluation is assessed. The optimal planning and economic evaluation model of the photovoltaic power plant energy storage system is established to meet the minimum storage capacity cost under the limit of the grid fluctuation ratio. The artificial fish swarm algorithm is used for solution optimization, and the economy evaluation of echelon battery is assessed and compared with conventional energy storage system. The results show the rationality and validity of the model.

    Reference
    [1] 傅 旭, 李海伟, 李冰寒. 大规模风电场并网对电网的影响及对策综述[J]. 陕西电力, 2010, 38(1):53-57. FU Xu, LI Haiwei, LI Binghan. Influence of large scale wind farm on grid and its counter measures[J]. Shaanxi Electric Power, 2010, 38 (1): 53-57.
    [2] 金 虹, 衣 进. 当前储能市场和储能经济性分析[J]. 储能科学与技术, 2012, 1(2):103-111. JIN Hong, YI Jin. Current energy storage market andenergy storage economy analysis[J]. Energy Storage Science and Technology, 2012, 1 (2): 103-111.
    [3] 朱广燕, 刘三兵, 海 滨, 等. 动力电池回收及梯次利用研究现状[J]. 电源技术, 2015(7):1564-1566. ZHU Guangyan, LIU Sanbing, HAI Bin, et al. Study on the status of power battery recycling and echelon utilization [J]. Power System Technology, 2015(7): 1564-1566.
    [4] 仝瑞军. 动力锂电池梯次利用的关键技术研究[J]. 客车技术与研究, 2014(3):30-32. TONG Ruijun. Power lithium battery echelon of the key technology research[J]. Bus Technology and Research, 2014(3): 30-32.
    [5] HESSAMI M, BOWLY D R. Economic feasibility and optimization of an energy storage system for Portland wind farm[J]. Applied Energy, 2011, 88: 2755-2763.
    [6] 佚 名. 日产和住友集团合资成立废弃锂电池能源公司[J]. 新材料产业, 2010(10):83-83. Anonymous. Nissan and Sumitomo group jointly established waste lithium battery energy company [J]. New Materials Industry, 2010(10): 83-83.
    [7] 退役动力电池有救了,电动地车动力电池的梯次利用分析 [EB/OL]. [2015-06-24]. http://www.d1ev.com38911-4.html. Retired power battery has saved, electric vehicle power battery echelon use analysis [EB / OL].http://www.d1ev.com38911-4.html.
    [8] 裴 锋. 江西电力开展动力电池梯次利用研究[EB/OL].[2014-12-12].http://www.cpnn.com.cnjs201209t20120903_461000.html. PEI Feng. Jiangxi electric power to carry out the use of power battery echelon [EB /OL]. [2014-12-12]. http://www.cpnn.com.cnjs201209t20120903_461000.html.
    [9] 河南省攻克退役动力电池再利用技术难题[EB/OL]. [2014-9-23].http://www.zhev.com.cnnewsshow-1411426688.html. Henan Province to overcome the retired power battery recycling technology problems[EB/OL]. [2014-9-23]. http://www.zhev.com.cnnewsshow-1411426688.html.
    [10] 陈佰爽. 磷酸铁锂电池梯次利用于储能领域的影响因素分析[J]. 储能科学与技术, 2014(4):427-428. CHEN Baishuang. Lithium iron phosphate battery echelon utilization and energy storage field influencing factors analysis [J]. Energy Storage Science and Technology, 2014(4): 427-428.
    [11] VISWANATHANV, VILAYANUR V, MICHAEL K 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.
    [12] CATHERINEH, WALKER S B, YOUNG S B, et al. Economic analysis of second use electric vehicle batteries for residential energy storage and load-leveling[J]. Energy Policy, 2014, 71(1): 22-30.
    [13] LIH W C, YEN J H, SHIEH F H, et al. Second-use applications of lithium-ion batteries retired from electric vehicles: challenges, repurposing process, cost analysis and optimal business model[J]. International Journal of Advancements in Computing Technology, 2012, 4(22): 518-527.
    [14] 张金国, 焦东升, 王小君, 等. 基于梯级利用电池的储能系统经济运行分析[J]. 电网技术, 2014, 38(9):2551-2555. ZHANG Jinguo, JIAO Dongsheng, WANG Xiaojun, et al. Economic operation analysis of energy storage system based on cascade battery [J]. Power System Technology, 2014, 38 (9): 2551-2555.
    [15] ZHANG H, HAN X, DOU J Y. A method to forecast photo-voltaic power outputs based on Markov Chain[C] International Power, Electronics and Materials Engineering Conference, Dalian, China:2015.
    [16] 林卫星, 文劲宇, 艾小猛, 等. 风电功率波动特性的概率分布研究[J]. 中国电机工程学报, 2012, 32(1):38-46. LIN Weixing, WEN Jingyu, AI Xiaomeng, et al. Study on the probability distribution of the fluctuation of wind power [J]. Proceedings of the CSEE, 2012, 32 (1): 38-46.
    [17] 张 浩. 储能系统用于配电网削峰填谷的经济性评估方法研究[D]. 北京:华北电力大学, 2014. ZHANG Hao. Study on the economic evaluation method of energy storage system for peak shaving and valley filling in distribution network [D].Beijing:North China Electric Power University, 2014.
    [18] 李晓磊, 邵之江, 钱积新. 一种基于动物自治体的寻优模式:鱼群算法[J]. 系统工程理论与实践, 2002, 22(11):32-38. LI Xiaolei, SHAO Zhijiang, QIAN Jixin. An animal optimizing method based on autonomous: fish swarm algorithm [J].Systems Engineering Theory & Practice, 2002, 22 (11): 32-38.
    [19] 韩晓娟, 张 婳, 修晓青, 等. 配置梯次电池储能系统的快速充电站经济性评估[J]. 储能科学与技术, 2016, 5(4):514-521. HAN Xiaojuan, ZHANG Hua, XIU Xiaoqing, et al. Economic evaluation of fast charging station for echelon battery energy storage system[J]. Energy Storage Science and Technology.2016, 5(4):514-521.
    [20] 程 成. 用于可再生能源发电并网技术的混合储能控制策略研究[D]. 北京:华北电力大学, 2014. CHENG Cheng. Research on hybrid energy storagecontrol strategy for grid connected generation of renewable energy [D]. Beijing: North China Electric Power University, 2014.
    [21] 李新静, 张佳瑢, 魏引利, 等. 锂离子电池日历寿命研究进展[J]. 电源技术, 2015, 39(8):1777-1779. LI Xinjing, ZHANG Jiarong, WEI Yinli, et al. Research progress of lithiumion battery calendar life [J]. Power Technology, 2015, 39 (8): 1777-1779.
    [22] 徐 晶. 梯次利用锂离子电池容量和内阻变化特性研究[D]. 北京:北京交通大学, 2014. XU Jing. Research on the variation characteristics of capacity and internal resistance of Lithium-ion batteries echelon use[D]. Beijing:Beijing Jiaotong University, 2014.
    [23] 陈伟华, 李 娜, 苑津莎. 梯次利用锂离子电池循环性能分析[J]. 华北电力技术, 2017(6):14-19. CHEN Weihua, LI Na, YUAN Jinsha. Cycle performance analysis of second-use of Lithium-ion power batteries[J]. North China Electric Power, 2017(6):14-19.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

Copy
Share
Article Metrics
  • Abstract:1525
  • PDF: 2913
  • HTML: 0
  • Cited by: 0
History
  • Received:June 28,2017
  • Revised:August 20,2017
  • Adopted:September 04,2017
  • Online: November 27,2017
Article QR Code
You are the 37679th visitor
 Editorial Department of Electric Power Engineering Technology     苏ICP备16068564号-1
Address: No.1 Power Road, Jiangning District, Nanjing, China. Zip Code: 211103
E- mail: epet@ijournals.cn;  epet-editor@ijournals.cn

苏公网安备 32011502010441号
Electric Power Engineering Technology Website Design ® 2025 All Rights Reserved