摘要
为推进用户侧储能商业化应用,对用户侧储能从规划和运行两方面综合考虑,提出了一种需量管理捆绑峰谷套利的工业大用户储能评估及优化调度方法。首先,在储能评估阶段,以用户的综合成本最小搭建储能评估模型,评估用户加装储能的经济性并优化储能配置;然后,在调度优化方法方面,构建了储能月前和日内两阶段优化模型。在月前优化中,确定用户上报的最大需量;在日内优化中,基于最大需量约束,优化每日的储能充放电功率。最后,在MATLAB平台基于CPLEX求解器分别对4家典型工业大用户进行算例仿真,验证了模型的经济有效性,并为用户侧储能电池的商业化推广提供了可行性方案。
To promote the commercial application of energy storage on the user side,the user-side energy storage is considered from both planning and operation period.A storage energy assessment and optimization scheduling method for industrial large users with demand management and arbitrage is proposed.Firstly,in the assessment stage,the energy storage assessment model is built with the user's minimum overall cost to evaluate the economic benefits of the users and to optimize the energy storage configuration.Secondly,a two-stage optimal storage model is established in the operation period.In the month-ahead optimization,the user's overall cost is minimized to determine the reported demand.Then,in the day-ahead optimization,the maximum arbitrage is utilized as objective function to optimize the charge and discharge power of the storage.Finally,based on CPLEX solver in MATLAB platform,four typical industrial enterprises are chosen as simulation cases to verify the effectiveness of the models.Moreover,a feasible solution for the commercialization of the user-side energy storage battery is provided.
引文
[1]李若,李欣然,谭庄熙,等.考虑储能电池参与二次调频的综合控制策略[J].电力系统自动化,2018,42(8):74-82.DOI:10.7500/AEPS20171011007.LI Ruo,LIXinran,TAN Zhuangxi,et al.Integrated control strategy considering energy storage battery participating in secondary frequency regulation[J].Automation of Electric Power Systems,2018,42(8):74-82.DOI:10.7500/AEPS20171011007.
[2]陈丽娟,姜宇轩,汪春.改善电厂调频性能的储能策略研究和容量配置[J].电力自动化设备,2017,37(8):52-59.CHEN Lijuan,JIANG Yuxuan,WANG Chun.Strategy and capacity of energy storage for improving AGC performance of power plant[J].Electric Power Automation Equipment,2017,37(8):52-59.
[3]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.
[4]NAYAK C K,NAYAK M R.Optimal design of battery energy storage system for peak load shaving and time of use pricing[C]//2017 Second International Conference on Electrical,Computer and Communication Technologies(ICECCT),February 22-24,2017,Coimbatore,India:7p.
[5]熊雄,叶林,杨仁刚.电力需求侧规模储能容量优化和经济性分析[J].电力系统自动化,2015,39(17):42-48.DOI:10.7500/AEPS20131212005.XIONG Xiong,YE Lin,YANG Rengang.Optimal allocation and economic benefits analysis of energy storage system on power demand side[J].Automation of Electric Power Systems,2015,39(17):42-48.DOI:10.7500/AEPS20131212005.
[6]LI Xiangjun,YAO Liangzhong,HUI Dong.Optimal control and management of a large-scale battery energy storage system to mitigate fluctuation and intermittence of renewable generations[J].Journal of Modern Power Systems and Clean Energy,2016,4(4):593-603.
[7]ZHANG Yongxi,DONG Zhaoyang,LUO Fengji,et al.Optimal allocation of battery energy storage systems in distribution networks with high wind power penetration[J].IETRenewable Power Generation,2016,10(8):1105-1113.
[8]XU Yixing,SINGH C.Power system reliability impact of energy storage integration with intelligent operation strategy[J].IEEE Transactions on Smart Grid,2014,5(2):1129-1137.
[9]YAO Liangzhong,YANG Bo,CUI Hongfen,et al.Challenges and progresses of energy storage technology and its application in power systems[J].Journal of Modern Power Systems and Clean Energy,2016,4(4):519-528.
[10]韩晓娟,田春光,张浩,等.用于削峰填谷的电池储能系统经济价值评估方法[J].太阳能学报,2014,35(9):1634-1638.HAN Xiaojuan,TIAN Chunguang,ZHANG Hao,et al.Economic evaluation method of battery energy storage system in peak load shifting[J].Acta Energiae Solaris Sinica,2014,35(9):1634-1638.
[11]向育鹏,卫志农,孙国强,等.基于全寿命周期成本的配电网蓄电池储能系统的优化配置[J].电网技术,2015,39(1):264-270.XIANG Yupeng,WEI Zhinong,SUN Guoqiang,et al.Life cycle cost based optimal configuration of battery energy storage system in distribution network[J].Power System Technology,2015,39(1):264-270.
[12]宁阳天.基于削峰填谷的储能系统调度模型研究[D].北京:华北电力大学,2015.NING Yangtian.Research on energy storage system dispatch model based on peak load shift[D].Beijing:North China Electric Power University,2015.
[13]梁芷睿,宋政湘,王建华,等.液态金属电池储能系统在光氢耦合微电网中的优化配置[J].电力系统自动化,2018,42(4):64-69.DOI:10.7500/AEPS20170911014.LIANG Zhirui,SONG Zhengxiang,WANG Jianhua,et al.Optimal configuration of liquid metal battery energy storage system in photovoltaic and hydrogen coupled microgrid[J].Automation of Electric Power Systems,2018,42(4):64-69.DOI:10.7500/AEPS20170911014.
[14]薛金花,叶季蕾,陶琼,等.采用全寿命周期成本模型的用户侧电池储能经济可行性研究[J].电网技术,2016,40(8):2471-2476.XUE Jinhua,YE Jilei,TAO Qiong,et al.Economic feasibility of user-side battery energy storage based on whole-life-cycle cost model[J].Power System Technology,2016,40(8):2471-2476.
[15]曹群士.用户侧分布式储能的优化配置研究[D].郑州:华北水利水电大学,2017.CAO Qunshi.Study on optimal configuration of user-side distributed energy storage[D].Zhengzhou:North China University of Water Resources and Electric Power,2017.
[16]DE SALIS R T,CLARKE A,WANG Z,et al.Energy storage control for peak shaving in a single building[C]//2014IEEEPES General Meeting Conference&Exposition,July 27-31,2014,National Harbor,USA:5p.
[17]李岱欣.用户侧储能商业模式探讨[EB/OL].[2018-08-20].http://www.cbea.com/www/zy/20150824/4781177.html.LI Daixin.Discussion of the storage business mode on the user side[EB/OL].[2018-08-20].http://www.cbea.com/www/zy/20150824/4781177.html.
[18]韩超.面向用户的削峰填谷储能系统优化调度研究[D].杭州:浙江大学,2017.HAN Chao.Research on optimized dispatching of user oriented peak-shift energy storage system[D].Hangzhou:Zhejiang University,2017.
[19]蒋凯,李浩秒,李威,等.几类面向电网的储能电池介绍[J].电力系统自动化,2013,37(1):47-53.JIANG Kai,LI Haomiao,LI Wei,et al.On several battery technologies for power grids[J].Automation of Electric Power Systems,2013,37(1):47-53.
