A Pareto Optimal Model for Energy Storage Battery in Distribution Network Considering Network Loss and Peak-Valley Difference Alleviation

doi:10.3969/j.issn.1000-7229.2015.08.006

Abstract

Abstract:

To make better use of energy storage batterys role in reducing network loss and alleviating peak-valley difference, a Pareto multi-objective optimization model was proposed for energy storage battery in distribution network with considering network loss reduction and peak-valley difference alleviation, which took the minimum network power loss in distribution system and the minimum variance between load of every period and the average value as objective functions, the charge/discharge power of storage battery as control variables, and transformed the constraints on battery capacity and static security into penalty function. According to daily load curve, the optimal charge and discharge periods of energy storage battery were obtained. Combined with forward-backward sweep calculation method, fast non-dominated sorting genetic algorithm II （NSGA-II） with elitist strategy was adopted to solve the multi-objective model. Based on satisfaction-maximizing method, this paper analyzed three optimization schemes in Pareto solution set: the minimum network loss, the best load shifting effect and the compromise solution between two objectives, in order to obtain different optimization schemes of energy storage battery. Finally, taking IEEE33 distribution system as example, this paper proved the validity and feasibility of the proposed method, and analyzed the advantages and disadvantages of operation schemes under different decision strategies, which could provide decision-making reference for the economic operation decision of distribution networks.

Key words: energy storage battery, load shift, network losses, operation optimization, Pareto

CLC Number:

TM 912

XIONG Chao，MA Rui. A Pareto Optimal Model for Energy Storage Battery in Distribution Network Considering Network Loss and Peak-Valley Difference Alleviation[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(8): 34-40.

References

［1］王承民，孙伟卿，衣涛，等.智能电网中储能技术应用规划及其效益评估方法综述［J］.中国电机工程学报，2013，33（7）：33-41.
Wang Chengmin，Sun Weiqing，Yi Tao， et al.Review on energy storage application planning and benefit evaluation methods in smart grid［J］.Proceedings of the CSEE，2013,33（7）33-41.
［2］周峰,王科,朱桂萍,等.微电网孤岛模式下全钒液流电池逆变器控制［J］ .中国电力,2011,44(3):81-85.
Zhou Feng,Wang Ke,Zhu Guiping, et al.Control strategy for vanadium redox battery inverter in islanding microgrid［J］ .Electric Power,2011,44(3):81-85.
［3］刘向向,王奔,张翔,等.基于钒电池储能系统的风电场并网功率平抑控制［J］ .中国电力,2013,46(8):48-53.
Liu Xiangxiang , Wang Ben , Zhang Xiang , et al.Smoothing Control of Grid-Connected Wind Power by VRB-Based Energy Storage Systems［J］ .Electric Power,2013,46(8):48-53.
［4］靳文涛,李建林.电池储能系统用于风电功率部分“削峰填谷”控制及容量配置［J］ .中国电力,2013,46(8):16-21.
Jin Wentao , Li Jianlin.BESS for Wind Power “Peak Shaving” Control and Capacity Configuration［J］ .Electric Power,2013,46(8):16-21.
［5］金一丁,宋强,陈晋辉,等.大容量电池储能电网接入系统［J］ .中国电力,2010,43(2)：16-20.
Jin Yiding,Song Qiang,Chen Jinhui, et al.Power conversion system of large scaled battery energy storage［J］ .Electric Power,2010,43(2):16-20.
［6］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.
［7］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.
［8］Bao G N，Lu C，Yuan Z C, et al.Battery energy storage system load shifting control based on real time load forecast and dynamic programming［C］//8th IEEE International Conference on Automation Science and Engineering. Seoul: IEEE, 2012：815-820.
［9］Zhang T，Cialdea S，Orr J A， et al.Outage avoidance and amelioration using battery energy storage systems［C］//Power Systems Conference （PSC）. Clemson, SC: IEEE, 2014：1-6.
［10］Zhang T，Cialdea S，Alexander E， et al.Electric energy cost reduction by shifting energy purchases from on-peak tmes purchases from on-peak times［C］//Electrical Power & Energy Conference （EPEC）.Halifax, NS：IEEE，2013：1-5.
［11］刘天琪，江东林.基于储能单元运行方式优化的微电网经济运行［J］.电网技术，2012，36（1）：45-50.
Liu Tianqi，Jiang Donglin.Economic operation of microgrid based on operation mode optimization of energy storage unit［J］ .Power System Technology，2012，36（1）：45-50.
［12］Hu Z C，Zhang S，Zhang F，et al.SCUC with battery energy storage system for peak-load shaving and reserve support［C］//Power and Energy Society General Meeting. Vancouver，BC：IEEE，2013：1-5.
［13］丁明，张颖媛，茆美琴，等.包含钠硫电池储能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 Na/S battery storage［J］ .Proceedings of the CSEE，2011，31（4）：7-14.
［14］石庆均，江全元.包含蓄电池储能的微网实时能量优化调度［J］.电力自动化设备，2013，33（5）：76-82.
Shi Qingjun， Jiang Quanyuan.Real-time optimal energy dispatch for microgrid with battery storage［J］.Electric Power Automation Equipment，2013，33（5）：76-82.
［15］丁明，徐宁舟，毕锐.负荷侧新型电池储能电站动态功能的研究［J］.电力自动化设备，2011，31（5）：1-7.
Ding Ming，Xu Ningzhou，Bi Rui.Dynamic model of new-type battery energy storage system at demand side［J］.Electric Power Automation Equipment，2011，31（5）：1-7.
［16］钟宇峰，黄民翔，叶承晋，等.基于电池储能系统动态调度的微电网多目标运行优化［J］ .电力自动化设备，2014，34（6）：114-121.Zhong Yufeng，Huang Minxiang，Ye Chengjin， et al.Multi-objective optimization of microgrid operation based on dynamic dispatch of battery energy storage system［J］.Electric Power Automation Equipment，2014，34（6）：114-121.
［17］章美丹，宋晓喆，辛焕海，等.计及网损的配电网电池储能站优化运行策略［J］.电网技术，2013，37（8）：2123-2128.
Zhang Meidan， Song Xiaozhe， Xin Huanhai，et al.Optimal operation strategy of battery energy storage system in distribution networks with consideration of power losses［J］.Power System Technology，2013，37（8）：2123-2128.
［18］谢开贵，肖畅.计及负荷不确定性的无功优化模型与算法［J］.电力系统保护与控制，2011，39（4）：18-22..
Xie Kaigui，Xiao Chan.A reactive power optimization model and algorithm considering load uncertainty［J］.Power System Protection and Control，2011，39（4）:18-22.
［19］Farina M，Amato P. A fuzzy definition of “optimality” for many-criteria optimization problem［J］.IEEE Transactions on System，Man and Cybernetics：Part A，2004，34（3）：315：326.

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