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含分布式储能的配电网多目标运行优化策略研究
引用本文:吴霜,季聪,孙国强. 含分布式储能的配电网多目标运行优化策略研究[J]. 电力工程技术, 2018, 37(2): 20-26
作者姓名:吴霜  季聪  孙国强
作者单位:国网江苏省电力有限公司经济技术研究院;江苏方天电力技术有限公司;可再生能源发电技术教育部工程研究中心(河海大学);
基金项目:国家自然科学基金资助项目(51277052)
摘    要:储能设备成本不断降低,为配电网的削峰填谷和经济运行提供了新的思路。首先研究了储能设备的充放电模型和充放电策略,在此基础上建立了含储能电力系统的多时段优化运行模型,并利用稀疏自动微分技术减少代码编写工作量、通过储能电量约束缩减降低微分计算量的方式,有效地提升了模型求解的可行性与高效性。最后,通过某实际配电网储能示范工程的算例仿真,验证了模型的准确性、算法的高效性与策略的可行性。

关 键 词:储能系统  城市配电网  运行策略优化  最优潮流  网损  负荷波动率
收稿时间:2017-11-03
修稿时间:2017-12-05

Multiple Objection Operation Strategy Optimization Research ofDistribution Network Including Distributed Energy Storage
WU Shuang,JI Cong,SUN Guoqiang. Multiple Objection Operation Strategy Optimization Research ofDistribution Network Including Distributed Energy Storage[J]. Electric Power Engineering Technology, 2018, 37(2): 20-26
Authors:WU Shuang  JI Cong  SUN Guoqiang
Affiliation:State Grid Jiangsu Electric Power Co., Ltd. Economic Research Institute, Nanjing 210008, China;Jiangsu Frontier Electric Technology Co., Ltd., Nanjing 211102, China; Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing 210098, China
Abstract:The cost of energy storage equipment is decreasing,which provides a new idea for load shifting and economic operation of distribution network.This paper studied the charge/discharge model and strategy of energy storage,and constructed a multi period optimal operation strategy model of distribution network with energy storage.Sparse coding automatic differentiation technology was applied to reduce coding workload,and constraint reduction of energy storage was proposed to reduce differential calculation,which enhanced the feasibility and efficiency of the model solving.Finally,the simulation results of an actual distribution network with energy storage demonstrated the accuracy of the proposed model,the efficiency of the proposed algorithm and the feasibility of the proposed solving method.
Keywords:energy storage  distribution system  operation strategy optimization  optimal power flow  power loss  load volatility
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