计及光伏出力不确定性的配电网混合时间尺度无功/电压控制策略

doi:10.19595/j.cnki.1000-6753.tces.211188

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Abstract A hybrid time-scale voltage/var control method combining day-ahead optimization and real-time local control is proposed to resolve voltage regulation problems such as network loss increase, voltage fluctuation and voltage crossing caused by large number of photovoltaic (PV) connections to the distribution network. On the day-ahead scale, an uncertain optimization model is constructed with the expected network loss, voltage drift and voltage overrun risk as the objectives, the on-load tap changer (OLTC) and capacitor bank actions is taken into account as well as the PV inverter reactive power generation constraints. On the real-time time scale, the approximate relationship between the inverter reactive power output increment and the PV real-time power output prediction error is derived using the day-ahead optimization results as the operational reference point, and a real-time autonomous voltage/var control strategy relying only on local real-time information is constructed. The effectiveness of the proposed hybrid time-scale voltage/var control strategy is proved by the simulation of the modified IEEE 33 system.

Key words： Distribution network photovoltaic power generation voltage/var control hybrid time scale voltage over-limit risk

Received: 04 August 2021

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	Articles by authors
	Huang Dawei
	Wang Xiaoquan
	Yu Na
	Chen Houhe

Cite this article:

Huang Dawei,Wang Xiaoquan,Yu Na等. Hybrid Timescale Voltage/Var Control in Distribution Network Considering PV Power Uncertainty[J]. Transactions of China Electrotechnical Society, 2022, 37(17): 4377-4389.

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https://dgjsxb.ces-transaction.com/EN/10.19595/j.cnki.1000-6753.tces.211188 OR https://dgjsxb.ces-transaction.com/EN/Y2022/V37/I17/4377

[1] 周念成, 谷飞强, 雷超, 等. 考虑合环电流约束的主动配电网转供优化模型[J]. 电工技术学报, 2020, 35(15): 3281-3291.
Zhou Niancheng, Gu Feiqiang, Lei Chao, et al.A power transfer optimization model of active distribution networks in consideration of loop closing current constraints[J]. Transactions of China Electrotechnical Society, 2020, 35(15): 3281-3291.
[2] 曲正伟, 张嘉曦, 王云静, 等. 考虑分布式电源不确定性的配电网改进仿射状态估计[J/OL]. 电力系统自动化: 1-13[2021-10-01]. http://kns.cnki.net/ kcms/detail/32.1180.TP.20210811.0903.004.html.
Qu Zhengwei, Zhang Jiaxin, Wang Yunjing, et al. Improved affine state estimation for distribution networks considering uncertainty of distributed power sources[J/OL]. Automation of Electric Power Systems: 1-13 [2021-10-01]. http://kns.cnki.net/kcms/detail/ 32.1180.TP.20210811.0903.004.html.
[3] Giacomuzzi S, Langwasser M.Smart transformer-based medium voltage grid support by means of active power control[J]. CES Transactions on Electrical Machines and Systems, 2020, 4(4): 285-293.
[4] 赵平, 赵期期, 艾小猛. 考虑极限场景的主动配电网重构与无功电压调整联合鲁棒优化[J/OL]. 电工技术学报: 1-11[2021-08-20]. https://doi.org/10. 19595/j.cnki.1000-6753.tces.L90356
Zhao Ping, Zhao Qiqi, Ai Xiaomeng. Combined robust optimization of active distribution network reconfiguration and reactive voltage adjustment considering extreme scenarios[J/OL]. Transactions of China Electrotechnical Society: 1-11[2021-08-20]. https://doi.org/10.19595/j.cnki.1000-6753.tces. L90356
[5] 李培帅, 吴在军, 张错, 等. 主动配电网分布式混合时间尺度无功/电压控制[J]. 电力系统自动化, 2021, 45(16): 160-168.
Li Peishuai, Wu Zaijun, Zhang Cuo, et al.Distributed hybrid time-scale reactive power/voltage control for active distribution networks[J]. Automation of Electric Power Systems, 2021, 45(16): 160-168.
[6] 尤毅, 刘东, 钟清, 等. 多时间尺度下基于主动配电网的分布式电源协调控制[J]. 电力系统自动化, 2014, 38(9): 192-198.
You Yi, Liu Dong, Zhong Qing, et al.Coordinated control of distributed power sources based on active distribution network under multiple time scales[J]. Automation of Electric Power Systems, 2014, 38(9): 192-198.
[7] Iriaab J, Helenoa M, Cardoso G.Optimal sizing and placement of energy storage systems and on-load tap changer transformers in distribution networks[J]. Applied Energy, 2019, 250: 1147-1157.
[8] 孙田, 邹鹏, 杨知方, 等. 动态无功优化的多阶段求解方法[J]. 电网技术, 2016, 40(6): 1804-1810.
Sun Tian, Zou Peng, Yang Zhifang, et al.Multi-stage solution method for dynamic reactive power optimization[J]. Power System Technology, 2016, 40(6): 1804-1810.
[9] 罗培, 孙吉浩. 有源配电网动态无功优化解耦方法研究[J]. 高电压技术, 2021, 47(4): 1323-1333.
Luo Pei, Sun Jihao.Research on decoupling method of active distribution network dynamic reactive power optimization[J]. High Voltage Engineering, 2021, 47(4): 1323-1333.
[10] 金国彬, 潘狄, 陈庆, 等. 考虑源荷不确定性的直流配电网模糊随机日前优化调度[J]. 电工技术学报, 2021, 36(21): 4517-4528.
Jin Guobin, Pan Di, Chen Qing, et al.Fuzzy random day-ahead optimal scheduling of DC distribution network considering the uncertainty of source and load[J]. Transactions of China Electrotechnical Society, 2021, 36(21): 4517-4528.
[11] 石宪, 薛毓强, 曾静岚. 基于有功-无功控制的光伏并网点电压调节方案[J]. 电气技术, 2019, 20(3): 50-61.
Shi Xian, Xue Yuqiang, Zeng Jinglan.Voltage regulation strategies based on power control for grid-connected photovoltaic at point of common coupling[J]. Electrical Engineering, 2019, 20(3): 50-61.
[12] 刘文霞, 富梦迪, 李涵深, 等. 计及信息失效的柔性配电系统集中-分散协调控制策略优化[J]. 电工技术学报, 2021, 36(22): 4749-4759.
Liu Wenxia, Fu Mengdi, Li Hanshen, et al.Optimization of centralized-decentralized coordinated control strategy for flexible distribution system considering information failure[J]. Transactions of China Electrotechnical Society, 2021, 36(22): 4749-4759.
[13] 倪萌, 王蓓蓓, 朱红, 等. 能源互联背景下面向高弹性的多元融合配电网双层分布式优化调度方法研究[J/OL]. 电工技术学报: 1-13[2021-08-20]. https://doi.org/10.19595/j.cnki.1000-6753.tces.201390.
Ni Meng, Wang Beibei, Zhu Hong, et al. Under the background of energy interconnection, the research on the two-layer distributed optimal dispatching method for the highly flexible multi-converged distribution network[J/OL]. Transactions of China Electrotechnical Society: 1-13[2021-08-20]. https://doi.org/ 10.19595/ j.cnki.1000-6753.tces.201390.
[14] 颜湘武, 徐韵, 李若瑾, 等. 基于模型预测控制含可再生分布式电源参与调控的配电网多时间尺度无功动态优化[J]. 电工技术学报, 2019, 34(10): 2022-2037.
Yan Xiangwu, Xu Yun, Li Ruojin, et al.Multi-time scale reactive power dynamic optimization of distribution network based on model predictive control with renewable distributed power sources participating in regulation[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2022-2037.
[15] 杨珺, 侯俊浩, 刘亚威, 等. 分布式协同控制方法及在电力系统中的应用综述[J]. 电工技术学报, 2021, 36(19): 4035-4049.
Yang Jun, Hou Junhao, Liu Yawei, et al.Distributed cooperative control method and its application in power system[J]. Transactions of China Electrotechnical Society, 2021, 36(19): 4035-4049.
[16] 乐健, 王曹, 李星锐, 等. 中压配电网多目标分布式优化控制策略[J]. 电工技术学报, 2019, 34(23): 4972-4981.
Le Jian, Wang Cao, Li Xingrui, et al.Multi-objective distributed optimization control strategy for medium voltage distribution network[J]. Transactions of China Electrotechnical Society, 2019, 34(23): 4972-4981.
[17] 丛鹏伟, 唐巍, 娄铖伟, 等. 含高渗透率可再生能源的主动配电网两阶段柔性软开关与联络开关协调优化控制[J]. 电工技术学报, 2019, 34(6): 1263-1272.
Cong Pengwei, Tang Wei, Lou Chengwei, et al.Coordinated and optimized control of two-stage flexible soft switch and tie switch in active distribution network with high-permeability renewable energy[J]. Transactions of China Electrotechnical Society, 2019, 34(6): 1263-1272.
[18] 褚国伟, 张友旺, 葛乐, 等. 自储能柔性互联配电网多时间尺度电压优化[J]. 电力系统自动化, 2021, 45(9): 71-79.
Chu Guowei, Zhang Youwang, Ge Le, et al.Multi-time-scale voltage optimization of flexible interconnected distribution network with self-energy storage[J]. Automation of Electric Power Systems, 2021, 45(9): 71-79.
[19] 黄伟, 刘斯亮, 羿应棋, 等. 基于光伏并网点电压优化的配电网多时间尺度趋优控制[J]. 电力系统自动化, 2019, 43(3): 92-100.
Huang Wei, Liu Siliang, Yi Yingqi, et al.Multi-time scale optimization control of distribution network based on photovoltaic grid-connected point voltage optimization[J]. Automation of Electric Power Systems, 2019, 43(3): 92-100.
[20] Jia Haoran, Chengshan Wanga, Peng Lia.A centralized-based method to determine the local voltage control strategies of distributed generator operation in active distribution networks[J]. Applied Energy, 2018, 228: 2024-2036.
[21] 姬广龙, 袁越, 范绚然, 等. 基于Cornish-Fisher展开的配电网电压越限风险评估[J]. 太阳能学报, 2020, 41(1): 358-366.
Ji Guanglong, Yuan Yue, Fan Xuanran, et al.Risk assessment of voltage over-limit of distribution network based on Cornish-Fisher[J]. Acta Energiae Solaris Sinica, 2020, 41(1): 358-366.
[22] 孙辉, 刘鑫, 贲驰, 等. 含风储一体化电站的电力系统多目标风险调度模型[J]. 电力系统自动化, 2018, 42(5): 94-101.
Sun Hui, Liu Xin, Ben Chi, et al.Multi-objective risk dispatch model of power system with integrated wind-storage power station[J]. Automation of Electric Power Systems, 2018, 42(5): 94-101.
[23] 李国庆, 翟晓娟. 基于层次分析法的孤立微电网多目标优化运行[J]. 电力系统保护与控制, 2018, 46(10): 17-23.
Li Guoqing, Zhai Xiaojuan.Multi-objective optimization operation of isolated microgrid based on analytic hierarchy process[J]. Power System Protection and Control, 2018, 46(10): 17-23.
[24] Ahmed G, Sheltami T, Mahmoud A.IoD swarms collision avoidance via improved particle swarm optimization[J]. Transportation Research Part A, 2020, 142: 260-278.
[25] Yang Dixiong, Li Gang, Cheng Gengdong.On the efficiency of chaos optimization algorithms for global optimization[J]. Chaos, Solitons and Fractals, 2007, 34: 1366-1375.
[26] Jr J H W. Hierarchical grouping to optimize an objective function[J]. Journal of the American Statistical Association, 1963, 58(301): 236-244.
[27] 方开泰. 有序样品的一些聚类方法[J]. 应用数学学报, 1982, 5(1): 94-101.
Fang Kaitai.Some clustering methods for ordered samples[J]. Acta Mathematicae Applicatae Sinica, 1982, 5(1): 94-101.
[28] 李亚杰. 多元统计分析[M]. 北京: 北京邮电大学出版社, 2018.
[29] Carvalho P M S, Correia P F. Distributed reactive power generation control for voltage rise mitigation in distribution networks[J]. IEEE Transactions on Power Systems, 2009, 23(2): 766-771.
[30] Baran M E, Wu F F.Network reconfiguration in distribution systems for loss reduction and load balancing[J]. IEEE Power Engineering Review, 1989, 9(4): 101-102.
[31] 易海川, 张彼德, 王海颖, 等. 提高DG接纳能力的配电网动态重构方法[J]. 电网技术, 2016, 40(5): 1431-1436.
Yi Haichuan, Zhang Bide, Wang Haiying, et al.Dynamic reconfiguration method of distribution network to improve DG acceptance ability[J]. Power System Technology, 2016, 40(5): 1431-1436.
[32] 蔡昌春, 丁晓群, 王宽, 等. 动态无功优化的简化方法及实现[J]. 电力系统自动化, 2008, 32(5): 43-46.
Cai Changchun, Ding Xiaoqun, Wang Kuan, at el. Simplified method and realization of dynamic reactive power optimization[J]. Automation of Electric Power Systems, 2008, 32(5): 43-46.