程庭莉;陈民铀;罗欢;

• 1:输配电装备及系统安全与新技术国家重点实验室(重庆大学)
• 2:国网四川省电力公司遂宁供电公司

摘要(Abstract)：

储能系统在缓解可再生能源发电和负荷波动对系统安全稳定性的影响中起着重要作用。针对配网系统,考虑储能配置与储能系统运行之间的相互影响,以最小化投资运行总成本和电压偏差为目标,建立双层储能多目标优化配置模型。在模型的外层,优化储能系统的配置方案;在模型的内层,进行无功电压调节、发电机控制以及储能充放电功率控制。将教学算法(teaching-learning based optimization,TLBO)引入粒子群算法(particle swarm optimization,PSO)中,提高优化算法的搜索能力,采用多目标PSO-TLBO算法求解耦合的双层储能优化配置模型。最后以IEEE 30节点系统进行算例仿真实验,实验结果验证了文中储能配置方法的有效性。

关键词(KeyWords)： 储能;成本;电压偏差;多目标优化

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金项目(51177177)~~

作者(Author): 程庭莉;陈民铀;罗欢;

Email:

DOI: 10.13335/j.1000-3673.pst.2017.0095

参考文献(References)：

• [1]尤毅,刘东,钟清,等.主动配电网储能系统的多目标优化配置[J].电力系统自动化,2014,38(18):46-52.You Yi,Liu Dong,Zhong Qing,et al.Multi-objective optimal placement of energy storage systems in an active distribution network[J].Automation of Electric Power Systems,2014,38(18):46-52(in Chinese).
• [2]Fu Q,Montoya L F,Solanki A,et al.Microgrid generation capacity design with renewables and energy storage addressing power quality and surety[J].IEEE Transactions on Smart Grid,2012,3(4):2019-2027.
• [3]Wen S,Lan H,Fu Q,et al.Economic allocation for energy storage system considering wind power distribution[J].IEEE Transactions on Power Systems,2015,30(2):644-652.
• [4]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(in Chinese).
• [5]冯江霞,梁军,张峰,等.考虑调度计划和运行经济性的风电场储能容量优化计算[J].电力系统自动化,2013,37(1):90-95.Feng Jiangxia,Liang Jun,Zhang Feng,et al.An optimization calculation method of wind farm energy storage capacity[J].Automation of Electric Power Systems,2013,37(1):90-95(in Chinese).
• [6]熊猛,高峰,张海峰,等.考虑调度计划的风电场复合储能装置优化设计[J].电网技术,2014,38(7):1853-1860.Xiong Meng,Gao Feng,Zhang Haifeng,et al.Optimization design for hybrid energy storage device in wind farm taking scheduling into account[J].Power System Technology,2014,38(7):1853-1860(in Chinese).
• [7]卢继平,朱三立,韩涛,等.风电场储能容量合理取值范围分析[J].重庆大学学报,2010,33(8):46-51.Lu Jiping,Zhu Sanli,Han Tao,et al.Analysis of reasonable wind farm energy storage capacity range[J].Journal of Chongqing University,2010,33(8):46-51(in Chinese).
• [8]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.Lin Shaobo,Han Minxiao,Zhao Guopeng,et al.Capacity allocation of energy storage in distributed photovoltaic power system based on stochastic prediction error[J].Proceedings of the CSEE,2013,33(4):25-33(in Chinese).
• [9]Dutta S,Sharma R.Optimal storage sizing for integrating wind and load forecast uncertainties[C]//Innovative Smart Grid Technologies(ISGT),2012 IEEE PES.Washington,DC:2012 IEEE PES,2012:1-7.
• [10]吴红斌,陈斌,郭彩云.风光互补发电系统中混合储能单元的容量优化[J].农业工程学报,2011,27(44):241-245.Wu Hongbin,Chen Bin,Guo Caiyun.Capacity optimization of hybrid energy storage units in wind/solar generation system[J].Transactions of the Chinese Society of Agricultural Engineering,2011,27(44):241-245(in Chinese).
• [11]谢应昭,卢继平,翁宗林.改善风电输出功率特性的复合储能系统优化配置[J].电网技术,2016,40(7):2052-2058.Xie Yingzhao,Lu Jiping,Weng Zonglin.Optimization configuration of hybrid energy storage system for improving power output characteristics of wind farm[J].Power System Technology,2016,40(7):2052-2058(in Chinese).
• [12]谭兴国,王辉,张黎,等.微电网复合储能多目标优化配置方法及评价指标[J].电力系统自动化,2014,38(8):7-14.Tan Xingguo,Wang Hui,Zhang Li.et al.Multi-objective optimization of hybrid energy storage and assessment indices in microgrid[J].Automation of Electric Power Systems,2014,38(8):7-14(in Chinese).
• [13]郑乐,胡伟,陆秋瑜,等.储能系统用于提高风电接入的规划和运行综合优化模型[J].中国电机工程学报,2014,34(16):2533-2543.Zheng Le,Hu Wei,Lu Qiuyu,et al.Research on planning and operation model for energy storage system to optimize wind power integration[J].Proceedings of the CSEE,2014,34(16):2533-2543(in Chinese).
• [14]Tant J,Geth F,Six D,et al.Multiobjective battery storage to improve PV integration in residential distribution grids[J].IEEE Transactions on Sustainable Energy,2013,4(1):182-191.
• [15]罗欢,陈民铀,程庭莉.含风力发电的配电网自适应分时段无功优化[J].电网技术,2014,38(8):2207-2212.Luo Huan,Chen Minyou,Cheng Tingli.Adaptive time-intervalled reactive power optimization for distribution network containing wind power generation[J].Power System Technology,2014,38(8):2207-2212(in Chinese).
• [16]王兆宇,艾芊.智能配电网中微电网的多目标优化配置[J].电网技术,2012,36(8):199-203.Wang Zhaoyu,Ai Qian.Multi-objective allocation of microgrid in smart distribution network[J].Power System Technology,2012,36(8):199-203(in Chinese).
• [17]苗雨阳,卢锦玲,朱国栋.基于改进多目标粒子群算法的微电网并网优化调度[J].电力科学与工程,2012,28(7):15-20.Miao Yuyang,Lu Jinling,Zhu Guodong.Improved multi-objective particle swarm optimization algorithm based scheduling optimization of grid-connected microgrid[J].Electric Power Science&Engineering,2012,28(7):15-20(in Chinese).
• [18]江渝,黄敏,毛安,等.孤立微网的多目标能量管理[J].高电压技术,2014,40(11):3519-3527.Jiang Yu,Huang Min,Mao An,et al.Multi-objective energy management of isolated microgrid[J].High Voltage Engineering,2014,40(11):3519-3527(in Chinese).
• [19]Zou F,Wang L,Hei X,et al,Multi-objective optimization using teaching-learning-based optimization algorithm[J].Engineering Applications of Artificial Intelligence,2013,26(4):1291-1300.
• [20]邱骁奇,胡志坚.基于改进教与学优化算法的配电网重构[J].电力系统保护与控制,2016,44(12):42-49.Qiu Xiaoqi,Hu Zhijian,Reconfiguration of distribution network based on improved teaching-learning-based optimization algorithm[J].Power System Protection and Control,2016,44(12):42-49(in Chinese).
• [21]Cheng T,Chen M,Fleming P J,et al.A novel hybrid teaching learning based multi-objective particle swarm optimization[J].Neurocomputing,2017(222):11-25.
• [22]Tripathi P K,Bandyopadhyay S,Pal S K.Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients[J].Information Sciences,2007,177(22):5033-5049.
• [23]张伯明.高等电力网络分析[M].北京:清华大学出版社,1996:311-313.
• [24]Yu Lei,Chen Minyou,David C Y,et al.A novel information exchange particle swarm optimization for microgrid multi-objective dynamic optimization control[J].Journal of Renewable and Sustainable Energy,2014,6(2):023114.
• [25]Sedghi M,Ahmadian A,Aliakbar-Golkar M.Optimal storage planning in active distribution network considering uncertainty of wind power distributed generation[J].IEEE Transactions on Power Systems,2016,31(1):304-316.
• [26]金虹,衣进.当前储能市场和储能经济性分析[J].储能科学与技术,2012,1(2):103-111.Jin Hong,Yi Jin.Market and economic analysis of the energy storage industry[J].Energy Storage Science and Technology,2012,1(2):103-111(in Chinese).
• [27]Sedghi M,Ahmadian A,Aliakbar-Golkar M.Optimal storage planning in active distribution network considering uncertainty of wind power distributed generation[J].IEEE Transactions on Power Systems,2016,31(1):304-316.
• [28]徐国栋,程浩忠,方斯顿,等.用于提高风电场运行效益的电池能配置优化模型[J].电力系统自动化,2016,40(5):62-70.Xu Guodong,Cheng Hanzhong,Fang Sidun,et al.An optimization model of battery energy storage system configuration to improve benefits of wind farms[J].Automation of Electric Power Systems,2016,40(5):62-70(in Chinese).