All Title Author
Keywords Abstract

电网技术  2013 

计及网损的配电网电池储能站优化运行策略

, PP. 2123-2128

Keywords: 电池储能系统,遗传算法,二次规划,网损

Full-Text   Cite this paper   Add to My Lib

Abstract:

通常接入配电网的电池储能站的运行以削峰填谷为优化目标,在此基础上,增加了减少网损这个因素。为此,基于配电网辐射型结构的特点,设计了简化的网损计算方法,建立相应的电池储能站优化运行模型。利用电池储能站的运行特点,采用双层优化方法进行求解外层利用遗传算法对电池储能站的充放电状态进行优化,内层利用二次规划法计算外层遗传算法中个体的适应度,从而分别得到给定条件下最优的充放电状态及充放电功率。通过算例分析了电池储能站的接入位置和运行方案在不同特性负荷曲线下对网损的影响,并比较了研究周期内不同充放电次数下的优化结果。仿真算例结果表明该算法也适用于中长期的储能电站优化运行策略的制定。

References

[1]  陈满,陆志刚,刘怡,等.电池储能系统恒功率削峰填谷优化策略研究[J].电网技术,2012,36(9):232-237.Chen Man,Lu Zhigang,Liu Yi,et al.Research on optimal peak load shifting strategy of battery energy storage system operated in constant power mode[J].Power System Technology,2012,36(9):232-237(in Chinese).
[2]  Oudalov A,Cherkaoui R,Beguin A.Sizingoptimal operation of battery energy storage system for peak shaving application[C]//Proceedings of the IEEE Proceedings of Power Tech.Lausanne,Switzerland:IEEE,2007:621-625.
[3]  Zhu Y Tomsovic K.Adaptive power flow method for distribution systems with dispersed generation[J].IEEE Transactions on Power Delivery,2002,17(3):822-827.
[4]  杨旭英,段建东,杨文宇,等.含分布式发电的配电网潮流计算[J].电网技术,2009,33(18):139-143.Yang Xuying,Duan Jiandong,Yang Wenyu,et al.Power flow calculation based on power losses sensitivity for distribution system with distributed generation[J].Power System Technology,2009,33(18):139-143(in Chinese).
[5]  雍龙泉.二次规划的算法研究[D].(西安:西安电子科技大学),2005.
[6]  刘栋,陈允平,沈广,等.负荷随机性对网损计算和配电网重构的影响[J].电力系统自动化,2006,30(9):25-28,55.Liu Dong,Chen Yunping,Shen Guang,et al.Influence of stochastic loads on line loss calculation and distribution reconfiguration[J].Automation of Electric Power Systems,2006,30(9):25-28,55(in Chinese).
[7]  丁明,徐宁舟,毕锐,等.基于综合建模的3类电池储能电站性能对比分析[J].电力系统自动化,2011,35(15):34-39.Ding Ming,Xu Ningzhou,Bi Rui,et al.Modeling and comparative study on multiple battery energy storage systems[J].Automation of Electric Power Systems,2011,35(15):34-39(in Chinese).
[8]  南方电网中国首个兆瓦级电池储能站成功并网[J].陕西电力,2011(2):37.The first MW battery energy storage staion has been sucessfully integrated into power grid by Southern power grid[J].Shaanxi Power,2011(2):37(in Chinese).
[9]  高赐威,张亮.电动汽车充电对电网影响的综述[J].电网技术,2011,35(2):127-131.Gao Ciwei Zhang Liang.A survey of influence of electrics vehicle charging on power grid[J].Power System Technology,2011,35(2):127-131(in Chinese).
[10]  Choi J,Oh S,Horowitz R.Distributed learning and cooperative control for multi-agent systems[J].Automatica,2009,45(12):2802-2814.
[11]  王刚军,王承民,李恒,等.基于实测数据的配网理论网损计算方法[J].电网技术,2002,26(12):18-20.Wang Gangjun,Wang Chengmin,Li Heng,et al.Calculation method of theoretical network loss in power distribution network based on measured data[J].Power System Technology,2002,26(12):18-20 (in Chinese).
[12]  刘伟,李恒,孙福杰,等.基于GIS和区间FTU的配电网网损计算方法[J].电网技术,2003,27(4):68-71.Liu Wei,Li Heng,Sun Fujie,et al.A new GIS and sectional FTU based calculation method for tranamission losses in distribution networks[J].Power System Technology,2003,27(4):68-71(in Chinese).
[13]  Weihao H,Zhe C,Bak-Jensen B.Optimal operation strategy of battery energy storage system to real-time electricity price in Denmark[C]//Poceedings of the2010 IEEE Power and Energy Society General Meeting.Minneapolis:IEEE,2010:1-7.
[14]  Chacra F A,Bastard P,Fleury G,et al.Impact of energy storage costs on economical performance in a distribution substation[J].IEEE Transactions on Power Systems,2005,20(2):684-691.
[15]  丁明,张颖媛,茆美琴,等.包含钠硫电池储能系统的微网系统经济运行优化[J].中国电机工程学报,2011,31(4):7-14.Ding Ming,Zhang Yingyuan,Mao Meiqin,et al.Economic operation optimization for microgrids including nas battery storage[J].Proceedings of the CSEE,2011,31(4):7-14(in Chinese).
[16]  鲍冠南,陆超,袁志昌,等.基于动态规划的电池储能系统削峰填谷实时优化[J].电力系统自动化,2012,36(12):11-16.Bao Guannan,Lu Chao,Yuan Zhichang,et al.Load shift real-time optimization strategy of battery energy storage system based on dynamic programming[J].Automation of Electric Power Systems,2012,36(12):11-16(in Chinese).
[17]  Maly D K,Kwan K S.Optimal battery energy storage system (BESS) charge scheduling with dynamic programming[J].IEE Proceedings -Science,Measurement and Technology,1995,142(6):453-458.

Full-Text

comments powered by Disqus