计及灵活性的配电网储能优化配置

doi:10.19725/j.cnki.1007-2322.2020.0087

摘要/Abstract

摘要： 针对目前配电网大量接入分布式电源所带来的净负荷剧烈波动问题，提出一种基于局部约束与整体灵活性定量评价相结合的配电网储能优化配置方法。首先利用X-means方法对配电网的年运行场景进行分析，经过聚类选择出关键场景；其次，建立配电网中运行灵活性的定量计算模型和局部灵活性约束；最后，基于所建立的灵活性评价模型，建立求解配电网中储能优化配置的双层迭代求解模型。利用标准IEEE33节点配电网系统模拟真实配电网进行算例设计和仿真，验证了提出的储能配置的灵活性规划方法的有效性和经济性。

关键词: 储能优化配置, 灵活性, 双层优化, 配电网, 粒子群算法

Abstract: To deal with the drastic fluctuation of net load caused by large amount of distributed power generation connected to distribution network, based on the combination of local restriction with quantitative evaluation of overall flexibility a method to optimally allocate the energy storage system was proposed. Firstly, the X-mean method was utilized to analyze the annual operation scenario of distribution network and through the clustering the key scenario was chosen. Secondly, the quantitative calculation model of operation flexibility in distribution network and the local flexibility constraint were established. Finally, based on the established flexibility evaluation model, a bi-layer iterative model to solve the optimal allocation of energy storage systems in distribution network was constructed. The standard IEEE-33 bus distribution network system was utilized in the design and simulation of a real distribution network. Simulation results show that the proposed flexible planning method for the allocation of energy storage systems in distribution network is effective and economic.

Key words: Energy storage system allocation, Flexibility, Bi-level optimization, Distribution network, Particle swarm optimization algorithm

中图分类号:

TM73

朱晓荣, 鹿国微. 计及灵活性的配电网储能优化配置[J]. 现代电力, 2020, 37(4): 341-350.

ZHU Xiaorong, LU Guowei. Optimal allocation of energy storage systems considering flexibility in distribution network[J]. Modern Electric Power, 2020, 37(4): 341-350.

参考文献 22

[1]	DING Ming, XU Zhicheng, WANG Weisheng, et al. A review on China’s large-scale PV integration, Progress, challenges and recommendations[J]. Renewable and Sustainable Energy Reviews,2016,53:639-652.
[2]	丁明, 王伟胜, 王秀丽, 等. 大规模光伏发电对电力系统影响综述[J]. 中国电机工程学报,2014,34(1):2-14DING Ming, WANG Weisheng, WANG Xiuli, et al. A Review on the effect of large-scale PV generation on power systems[J]. Proceedings of the CSEE,2014,34(1):2-14(in Chinese)
[3]	张沈习, 李珂, 程浩忠, 等. 考虑相关性的间歇性分布式电源选址定容规划[J]. 电力系统自动化,2015,39(8):53-58, 140ZHANG Shenxi, LI Ke, CHENG Haozhong, et al. Optimal siting ang sizing of intermittent distributed generator considering correlations[J]. Automation of Electric Power System,2015,39(8):53-58, 140(in Chinese)
[4]	中华人民共和国国家发展和改革委员会. 可再生能源发展“十三五”规划[R]. 北京: 中华人民共和国国家发展和改革委员会, 2016.
[5]	李振坤, 陈思宇, 符杨, 等. 基于时序电压灵敏度的有源配电网储能优化配置[J]. 中国电机工程学报,2017,37(16):4630-4640LI Zhenkun, CHEN Siyu, FU Yang, et al. Optimal allocation of ESS in distribution network containing DG base on Timing-Voltage-Sensitivity analysis[J]. Proceedings of the CSEE,2017,37(16):4630-4640(in Chinese)
[6]	王洪坤, 王守相, 潘志新, 等. 含高渗透分布式电源配电网灵活性提升优化调度方法[J]. 电力系统自动化,2018,42(15):86-93WANG Hongkun, WANG Shouxiang, PAN Zhixin, et al. Optimizd dispatching method for flexibility improvement of distribution network with High-penetrationdistributed generation[J]. Automation of Electric Power System,2018,42(15):86-93(in Chinese)
[7]	程庭莉, 陈民铀, 罗欢. 含可再生能源发电的配网储能多目标优化配置方法[J]. 电网技术,2017,41(09):2808-2815CHENG Tingli, CHEN Minyou, LUO Huan. Multi objective allocation of energy storage in distribution network penetrated with renewable energy generation[J]. Power System Technology,2017,41(09):2808-2815(in Chinese)
[8]	茆美琴, 刘云晖, 张榴晨, 等. 含高渗透率可再生能源的配电网广义储能优化配置[J]. 电力系统自动化,2019,43(08):108-119MAO Meiqin, LIU Yunhui, ZHANG Liuchen, et al. Optimalconfiguration of generalized energy storge in distributionnetwork with High-penetration renewable energy[J]. Automation of Electric Power System,2019,43(08):108-119(in Chinese)
[9]	朱嘉远, 刘洋, 许立雄, 等. 风电全消纳下的配电网储能可调鲁棒优化配置[J]. 电网技术,2018,42(06):1875-1883ZHU Jiayuan, LIU Yang, XU Lixiong, JIANG Zhuozhen, LIN Xiao. Adjustable robust optimization for energy storage system in distribution network based on wind power full accommodation[J]. Power System Technology,2018,42(06):1875-1883(in Chinese)
[10]	李海波, 鲁宗相, 乔颖, 等. 大规模风电并网的电力系统运行灵活性评估[J]. 电网技术,2015,39(06):1672-1678LI Haibo, LU Zongxiang, QIAO Ying, et al. Assessment on operational flexibility of power grid with grid-connected large-scale wind farms[J]. Power System Technology,2015,39(06):1672-1678(in Chinese)
[11]	周光东, 周明, 孙黎滢, 等. 含波动性电源的电力系统运行灵活性评价方法研究[J]. 电网技术,2019,43(06):2139-2146ZHOU Guangdong, ZHOU Ming, SUN Liying, et al. Research on operational flexibility evaluation approach of power system with variable sources[J]. Power System Technology,2019,43(06):2139-2146(in Chinese)
[12]	鲁宗相, 李海波, 乔颖. 含高比例可再生能源电力系统灵活性规划及挑战[J]. 电力系统自动化,2016,40(13):147-158LU Zongxiang, LI Haibo, QIAO Ying. Power system flexibilit y planning and challenges considering high proportion of renewable energy[J]. Automation of Electric Power System,2016,40(13):147-158(in Chinese)
[13]	W u, Hongyu, Abusorrah, et al. Thermal Generation Flexibility With Ramping Costs and Hourly Demand Response in Stochastic Security-Constrained Scheduling of Variable Energy Sources[J]. IEEE Transactions on Power Systems: A Publication of the Power Engineering Society,2015.
[14]	王成山, 李鹏, 于浩. 智能配电网的新形态及其灵活性特征分析与应用[J]. 电力系统自动化,2018,42(10):13-21WANG Chengshan, LI Peng, YU Hao. Development and characteristic analysis of flexibility in smart distribution network[J]. Automation of Electric Power Systems,2018,42(10):13-21(in Chinese)
[15]	温丰瑞, 李华强, 温翔宇, 等. 主动配电网中计及灵活性不足风险的储能优化配置[J]. 电网技术,2019,43(11):3952-3962WEN Fengrui, LI Huaqiang, WEN Xiangyu, et al. Optimal allocation of energy storage systems considering flexibility deficiency risk in active distribution network[J]. Power System Technology,2019,43(11):3952-3962(in Chinese)
[16]	LI Ran, LI Furong, Smith Nathan D. Multi-resolution load profile clustering for smart metering data[J]. IEEE Transactions on Power Systems,2016:1-10.
[17]	杨海涛, 吴国旸, 陈西颖, 等. 用于间歇性电源高渗透电网规划的安全性评估方法[J]. 电力系统自动化,2012,36(24):15-20YANG Haitao, WU Guoyang, CHEN Xiying, et al. A security assessment method for power grid planning under high penetration of variable generation[J]. Automation of Electric Power System,2012,36(24):15-20(in Chinese)
[18]	范明天, 谢宁, 王承民, 等. No.5实现灵活高效智能电网的思路与实践[J]. 供用电,2016,33(10):38-44FAN Mingtian, XIE Ning, WANG Chengmin, et al. No.5 methods and practices of realizing smart grid with flexibility and efficiency[J]. Distribution & Utilization,2016,33(10):38-44(in Chinese)
[19]	丁明, 刘先放, 毕锐, 等. 采用综合性能指标的高渗透率分布式电源集群划分方法[J]. 电力系统自动化,2018,42(15):47-52DING Ming, LIU Xianfang, BI Rui, et al. Method for cluster partition of high-penetration distributed generatorsbased on comprehensive performance index[J]. Automation of Electric Power System,2018,42(15):47-52(in Chinese)
[20]	刘华蓥, 林玉娥, 王淑云. 粒子群算法的改进及其在求解约束优化问题中的应用[J]. 吉林大学学报(理学版),2005(04):472-476LIU Huaying, LIN Yue, WANG Shuyun. A modified particle swarm optimization for solving constrained optimization problems[J]. Journal of Jilin University (Science Edition),2005(04):472-476(in Chinese)
[21]	迟玉红, 孙富春, 王维军, 等. 基于空间缩放和吸引子的粒子群优化算法[J]. 计算机学报,2011,34(01):115-130CHI Yuhong, SUN Fuchun, WANG Weijun, et al. An improved particle swarm optimization algorithm with search space zoomed factor and attractor[J]. Chinese Journal of Computers,2011,34(01):115-130(in Chinese)
[22]	朱俊澎, 顾伟, 张韩旦, 等. 考虑网络动态重构的分布式电源选址定容优化方法[J]. 电力系统自动化,2018,42(05):111-119ZHU Junpeng, GU Wei, ZHANG Handan, et al. Optimal siting and sizing of distributed generators considering dynamic network reconfiguration[J]. Automation of Electric Power System,2018,42(05):111-119(in Chinese)