考虑多场景需求的配电网分布式储能多目标优化配置方法
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摘要
针对配电网分布式储能系统优化配置问题,提出了考虑多场景需求的储能系统整体配置优化方案。首先,建立了储能系统接入配电网的经济性指标和技术性指标模型;其次,建立了源、网、荷侧不同应用场景下的优化模型并给出应满足的约束条件;再次,采用基于二阶锥的优化求解方法,将大规模混合整数非线性模型转换为混合整数二阶锥优化模型,提高了优化问题的求解速度;最后,基于某区域配电网储能系统配置具体问题,对源、网、荷侧多场景储能系统配置问题进行优化,并与源、网、荷统一优化方案对比,结果表明:提出的多目标优化配置方法可有效解决实际配电网储能系统配置问题。
Aiming at optimization configuration of distributed energy storage in the distribution network,an economic indicator model and technical indicator model for energy storage access distribution network are established. An overall configuration optimization scheme of energy storage considering multi-scenario requirements is proposed to meet the interests of multi-agent of source network. The optimization models under different application scenarios of source,network and load side are established and the constraints that should be met are given. The second-order cone-based optimization method is used to transform the large-scale mixed integer nonlinear model into a mixed integer second-order cone optimization model,which improves the solution speed of the optimization problem. On the basis of the specific problems of energy storage configuration of a distribution network in a certain area,this paper optimizes the multi-scenario energy storage allocation in source,network and load side. Compared with the unified optimization scheme,the results show that the proposed multiobjective optimization configuration can be effectively applied to the optimal allocation of energy storage of the actual distribution network.
Aiming at optimization configuration of distributed energy storage in the distribution network,an economic indicator model and technical indicator model for energy storage access distribution network are established. An overall configuration optimization scheme of energy storage considering multi-scenario requirements is proposed to meet the interests of multi-agent of source network. The optimization models under different application scenarios of source,network and load side are established and the constraints that should be met are given. The second-order cone-based optimization method is used to transform the large-scale mixed integer nonlinear model into a mixed integer second-order cone optimization model,which improves the solution speed of the optimization problem. On the basis of the specific problems of energy storage configuration of a distribution network in a certain area,this paper optimizes the multi-scenario energy storage allocation in source,network and load side. Compared with the unified optimization scheme,the results show that the proposed multiobjective optimization configuration can be effectively applied to the optimal allocation of energy storage of the actual distribution network.
引文
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[13]葛乐,袁晓冬,王亮,等.面向配电网优化运行的混合储能容量配置[J].电网技术,2017,41(11):3506-3513.GE Le, YUAN Xiaodong, WANG Liang, et al. Capacity configuration of hybrid energy storage system for distribution netw ork optimal operation[J]. Pow er System Technology,2017,41(11):3506-3513.
[14]张欣.二阶锥优化在含风电接入的配电网储能规划双层模型中的研究应用[D].西安:西安理工大学,2018.ZHANG Xin. Research of second-order cone programming in bilevel model of distribution netw ork w ith w ind pow er access[D].Xi'an:Xi'an University of Technology,2018.
[15]曾友芳.二阶锥规划的理论与算法研究[D].上海:上海大学,2011.ZENG Youfang. Research on theory and algorithms for secondorder cone programming[D]. Shanghai:Shanghai University,2011.
[16]方述诚,邢文训.线性锥优化[M].北京:科学出版社,2013.
[2]杨永明.全球电力储能发展现状分析[N].中国电力报,2018-07-28(012).
[3]张明霞,闫涛,来小康,等.电网新功能形态下储能技术的发展愿景和技术路径[J].电网技术,2018,42(5):1370-1377.ZHANG M ingxia,YAN Tao,LAI Xiaokang,et al. Technology vision and route of energy storage under new pow er grid function configuration[J]. Pow er System Technology, 2018,42(5):1370-1377.
[4]王成山,武震,李鹏.分布式电能存储技术的应用前景与挑战[J].电力系统自动化,2014,38(16):1-8,73.WANG Chengshan, WU Zhen, LI Peng. Present development condition and trends of energy storage technology in the integration of distributed renew able energy[J]. Automation of Electric Pow er Systems,2014,38(16):1-8,73.
[5]孙玉树,唐西胜,孙晓哲,等.风电波动平抑的储能容量配置方法研究[J].中国电机工程学报,2017,37(S1):88-97.SUN Yushu,TANG Xisheng,SUN Xiaozhe,et al. Research on Energy storage capacity allocation method for smoothing w ind pow er fluctuations[J]. Proceedings of the CSEE,2017,37(S1):88-97.
[6]林少伯,韩民晓,赵国鹏,等.基于随机预测误差的分布式光伏配网储能系统容量配置方法[J].中国电机工程学报,2013,33(4):25-33,5.LIN Shaobo, HAN M inxiao, ZHAO Guopeng, et al. Capacity allocation of energy storage in distributed photovoltaic pow er system based on stochastic prediction error[J]. Proceedings of the CSEE,2013,33(4):25-33,5.
[7]杨锡运,张璜,修晓青,等.基于商业园区源/储/荷协同运行的储能系统多目标优化配置[J].电网技术,2017,41(12):3996-4003.YANG Xiyun, ZHANG Huang, XIU Xiaoqing,et al. M ultiobjective optimal configuration of energy storage systems based on coordinated operation of source/storage/load in commercial park[J]. Power System Technology,2017,41(12):3996-4003.
[8]周楠,樊玮,刘念,等.基于需求响应的光伏微网储能系统多目标容量优化配置[J].电网技术,2016,40(6):1709-1716.ZHOU Nan,FAN Wei,LIU Nian,et al. Battery storage multiobjective optimization for capacity configuration of pv-based microgrid considering demand response[J]. Pow er System Technology,2016,40(6):1709-1716.
[9]许健,刘念,于雷,等.计及重要负荷的工业光伏微电网储能优化配置[J].电力系统保护与控制,2016,44(9):29-37.XU Jian,LIU Nian,YU Lei,et al. Optimal allocation of energy storage system of PV microgrid for industries considering important load[J]. Pow er System Protection and Control,2016,44(9):29-37.
[10]朱佳明,刘斌,谢海远,等.基于二层规划的用户侧储能容量配置和最优运行策略分析[J].南方电网技术,2016,10(10):43-50.ZHU Jiaming, LIU Bin, XIE Haiyuan, et al. Energy storage capacity allocation and optimal operation strategy analysis at demand side based on bilevel programming[J]. Southern Pow er System Technology,2016,10(10):43-50.
[11]肖峻,张泽群,梁海深.配电网络公共储能位置与容量的优化方法[J].电力系统自动化,2015,39(19):54-60,67.XIAO Jun,ZHANG Zequn,LIANG Haishen. Optimal method for placement and capacity of energy storge in distribution system[J].Automation of Electrical Pow er Systems,2015,39(19):54-60,67.
[12]杨玉青,牛利勇,田立亭,等.考虑负荷优化控制的区域配电网储能配置[J].电网技术,2015,39(4):1019-1025.YANG Yuqing,NIU Liyong,TIAN Liting,et al. Configuration of energy storage devices in regional distribution netw ork considering optimal load control[J]. Pow er System Technology,2015,39(4):1019-1025.
[13]葛乐,袁晓冬,王亮,等.面向配电网优化运行的混合储能容量配置[J].电网技术,2017,41(11):3506-3513.GE Le, YUAN Xiaodong, WANG Liang, et al. Capacity configuration of hybrid energy storage system for distribution netw ork optimal operation[J]. Pow er System Technology,2017,41(11):3506-3513.
[14]张欣.二阶锥优化在含风电接入的配电网储能规划双层模型中的研究应用[D].西安:西安理工大学,2018.ZHANG Xin. Research of second-order cone programming in bilevel model of distribution netw ork w ith w ind pow er access[D].Xi'an:Xi'an University of Technology,2018.
[15]曾友芳.二阶锥规划的理论与算法研究[D].上海:上海大学,2011.ZENG Youfang. Research on theory and algorithms for secondorder cone programming[D]. Shanghai:Shanghai University,2011.
[16]方述诚,邢文训.线性锥优化[M].北京:科学出版社,2013.