大量动力电池被淘汰,将淘汰的电池用作电力储能是解决问题的一个有效方法。选用风光和淘汰的动力电池作为储能的混合发电厂为研究对象,以目标函数为年利润最大进行容量配置,提出梯次利用电池的购买价格为全寿命周期等出力成本的方法,电池模型采取同时考虑使用次数、使用时间和充放电深度,并在可用容量相同的条件下每年进行置换更新的改进配置模型。通过最小乘子法、最优保存法和自适应步长法改进萤火虫算法,应用改进算法寻找最优解。最后选用张家口的天气参数进行模拟分析,验证模型算法的正确性,并对梯次电池回收价格进行研究。
Abstract
Now there are a large number of power battery obsolescence problem, using the obsolescence battery as electric energy storage is an effective way to solve the problem. The hybrid power plant of energy storage was selected as the research object. The objective function is to maximize capacity allocation for annual profit. The method of using the battery purchase price to the whole life cycle and so on output cost is put forward. The battery model is adopted to consider the use times, use time and depth of charge and discharge. An improved configuration model for annual replacement updates with the same available capacity. The firefly algorithm was improved by least multiplier method, optimal preservation method and adaptive step method. The improved algorithm is applied to find the optimal solution. Finally, the weather parameters of Zhangjiakou are used to simulate and analyze. Verify the correctness of the model algorithm and study the recovery price of echelon batteries.
关键词
梯次电池 /
优化 /
发电厂 /
风光储 /
萤火虫算法
Key words
secondary batteries /
optimization /
power plants /
PV-wind-storage /
firefly algorithm
{{custom_sec.title}}
{{custom_sec.title}}
{{custom_sec.content}}
参考文献
[1] YAN G G, WAN Z H, LI J H, et al.Research on output power fluctuation characteristics of the clustering Photovoltaic wind joint power generation system based on continuous output analysis[C]//International Conference on Power System Technology, Chengdu, China, 2014: 2852-2857.
[2] 吴克河, 周欢, 刘吉臻. 大规模并网型风光储发电单元容量优化配置方法[J]. 太阳能学报, 2015, 36(12): 2946-2953.
WU K H, ZHOU H, LIU J Z.Capacity allocation optimization method of large-scale grid-connected wind-PV-battery generation unit[J]. Acta energiae solaris sinica, 2015, 36(12): 2946-2953.
[3] 窦晓波, 袁简, 吴在军, 等. 并网型风光储微电网容量改进优化配置方法[J]. 电力自动化设备, 2016, 36(3): 26-32.
DOU X B, YUAN J, WU Z J, et al.Improved configuration optimization of PV-wind-storage capacities for grid-connected microgrid[J]. Electric power automation equipment, 2016, 36(3): 26-32.
[4] 肖峻, 白临泉, 王成山, 等. 微网规划设计方法与软件[J]. 中国电机工程学报, 2012, 32(25): 149-157.
XIAO J,BAI L Q,WANG C S,et al.Method and software for planning and designing of microgrid[J]. Proceedings of the CSEE,2012, 32(25): 149-157.
[5] 刘念, 唐霄, 段帅, 等. 考虑动力电池梯次利用的光伏换电站容量优化配置方法[J]. 中国电机工程学报,2013, 33(4): 34-44, 6.
LIU N,TANG X, DUAN S, et al.Capacity optimization method for PV-based battery swapping stations considering second-use of electric vehicle batteries[J]. Proceedings of the CSEE, 2013, 33(4): 34-44, 6.
[6] LIU N, CHEN Z, LIU J, et al.Multi-objective optimization for component capacity of the photovoltaic-based battery switch stations: Towards benefits of economy and environment[J]. Energy, 2014, 64: 779-792.
[7] VISWANATHAN, 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.
[8] 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 L X, MA C L, LIU Y Z.Operation optimization of modularized energy storage of retired batteries in hybrid power systems[J]. CIESC journal, 2019, 70(2): 599-606.
[9] 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 J L, XIU X Q, LIU D T, 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.
[10] 刘大贺, 韩晓娟, 李建林. 基于改进蝙蝠算法的梯次电池储能经济性分析[J]. 电器与能效管理技术, 2017(19): 52-57.
LIU D H, HAN X J, LI J L.Economic analysis of echelon battery energy storage based on improved bat algorithm[J]. Electrical and energy efficiency management technology, 2017(19): 52-57.
[11] 吴鸣, 孙丽敬, 寇凌峰, 等. 考虑需求侧响应的主动配电网电池梯次储能的容量配置方法[J]. 高电压技术, 2020, 46(1): 71-79.
WU M, SUN L J, KOU L F, et al.Capacity configuration method for second-use electric vehicle batteries of active distribution network based on demand side response[J]. High voltage engineering, 2020, 46(1): 71-79.
[12] DEBNATH U K, AHMAD I, HABIBI D.Quantifying economic benefits of second life batteries of gridable vehicles in the smart grid[J]. International journal of electrical power & energy systems, 2014, 63: 577-587.
[13] 黎小圣. 进化优化算法的约束处理方法与应用[D]. 天津: 天津大学, 2014.
LI X S.Constraint handling methods for evolutionary optimization algorithm and their application[D]. Tianjin: Tianjin University, 2014.
PDF(1725 KB)
