Multi-time Scale Adaptive Reactive Voltage Control for Distribution Networks Based on Voltage Tendency Coefficient

doi:10.11930/j.issn.1004-9649.202009131

Abstract

Abstract: With a high proportion of distributed photovoltaic connected to the distribution network, the mismatch between source and load may lead to voltage overlimit. Based on the deviation and fluctuation of the voltage, the voltage tendency coefficient (VTC) for evaluating different operation scenarios of the distribution network is defined and an multi-time scale adaptive reactive voltage control method is proposed in this paper. For the long time scale, a day-ahead optimal dispatch strategy aiming at the optimization of economy and security satisfaction is constructed based on VTC. And for the short time scale, the fixed slope of the traditional droop control is dynamically modified by VTC for releasing the reactive power margin of the photovoltaic inverter. In addition, a feedback correction for the long time scale is added to the short time scale optimization control. With the simulation of the example system, the effectiveness of the proposed reactive voltage control method is verified.

Key words: distribution network, voltage tendency coefficient, multiple time scales, reactive voltage control, voltage overlimit

JIN Ziran, WU Hongbin, ZHOU Yiyao, XU Bin, DING Jinjin, WEI Wei. Multi-time Scale Adaptive Reactive Voltage Control for Distribution Networks Based on Voltage Tendency Coefficient[J]. Electric Power, 2021, 54(11): 69-75.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202009131

https://www.electricpower.com.cn/EN/Y2021/V54/I11/69

References

[1] 刘华志, 李永刚, 王优胤, 等. 无功电压优化对新能源消纳的影响[J]. 电工技术学报, 2019, 34(增刊2): 646–653
LIU Huazhi, LI Yonggang, WANG Youyin, et al. Influence about reactive power voltage optimization on the dissipation of new energy[J]. Transactions of China Electrotechnical Society, 2019, 34(S2): 646–653
[2] 王波, 虞殷树, 贺旭, 等. 计及分布式电源并网安全约束的配电网改接优化模型[J]. 电力系统保护与控制, 2019, 47(22): 67–77
WANG Bo, YU Yinshu, HE Xu, et al. An optimization model for restructuring distribution network considering grid-connected security constraints of DGs[J]. Power System Protection and Control, 2019, 47(22): 67–77
[3] 张晓雪, 牛焕娜, 赵静翔. 含微电网的配电网优化调度[J]. 电工技术学报, 2017, 32(7): 165–173
ZHANG Xiaoxue, NIU Huanna, ZHAO Jingxiang. Optimal dispatch method of distribution network with microgrid[J]. Transactions of China Electrotechnical Society, 2017, 32(7): 165–173
[4] 黄伟, 刘斯亮, 王武, 等. 长时间尺度下计及光伏不确定性的配电网无功优化调度[J]. 电力系统自动化, 2018, 42(5): 154–162
HUANG Wei, LIU Siliang, WANG Wu, et al. Optimal reactive power dispatch with long-time scale in distribution network considering uncertainty of photovoltaic[J]. Automation of Electric Power Systems, 2018, 42(5): 154–162
[5] BIDGOLI H S, VAN CUTSEM T. Combined local and centralized voltage control in active distribution networks[J]. IEEE Transactions on Power Systems, 2018, 33(2): 1374–1384.
[6] ZERAATI M, GOLSHAN M E H, GUERRERO J M. Voltage quality improvement in low voltage distribution networks using reactive power capability of single-phase PV inverters[J]. IEEE Transactions on Smart Grid, 2019, 10(5): 5057–5065.
[7] 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): 1–14
DING 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): 1–14
[8] 蔡永翔, 张璐, 唐巍, 等. 考虑逆变器无功充裕性的含高比例户用光伏低压配电网电压控制策略[J]. 电网技术, 2017, 41(9): 2799–2808
CAI Yongxiang, ZHANG Lu, TANG Wei, et al. A voltage control strategy for LV distribution network with high proportion residential PVs considering reactive power adequacy of PV inverters[J]. Power System Technology, 2017, 41(9): 2799–2808
[9] 庄慧敏, 张江林. 基于模型预测的主动配电网电压协调控制[J]. 中国电力, 2016, 49(12): 58–64
ZHUANG Huimin, ZHANG Jianglin. Coordinated voltage control based on model prediction in active distribution networks[J]. Electric Power, 2016, 49(12): 58–64
[10] LI P, ZHANG C C, FU X P, et al. Determination of local voltage control strategy of distributed generators in active distribution networks based on Kriging Metamodel[J]. IEEE Access, 2019, 7: 34438–34450.
[11] 郭思琪, 袁越, 张新松, 等. 多时间尺度协调控制的独立微网能量管理策略[J]. 电工技术学报, 2018, 38(5): 1397–1407
GUO Siqi YUAN Yue, ZHANG Xingsong, et al. Multi-time scale active and reactive power coordinated optimal dispatch in active distribution network based on model predictive control[J]. Transactions of China Electrotechnical Society, 2018, 38(5): 1397–1407
[12] 张颖, 季宇, 唐云峰. 基于MPC含分布式光伏配电网有功功率—无功功率协调控制[J]. 电力系统自动化, 2017, 41(21): 140–146
ZHANG Ying, JI Yu, TANG Yunfeng. Coordinated control of active and reactive power for distribution network with distributed photovoltaic based on model predictive control[J]. Automation of Electric Power Systems, 2017, 41(21): 140–146
[13] 王志强, 郭晨阳, 刘文霞, 等. 计及负荷特性的配电网多时间尺度电压控制及协调修正[J]. 电力系统自动化, 2017, 41(15): 51–57
WANG Zhiqiang, GUO Chenyang, LIU Wenxia, et al. Multi-time scale voltage control and coordinated correction for distribution networks considering load characteristics[J]. Automation of Electric Power Systems, 2017, 41(15): 51–57
[14] 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 slack optimal control in distribution network based on voltage optimization for point of common coupling of PV[J]. Automation of Electric Power Systems, 2019, 43(3): 92–100
[15] 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 optimization of distribution grid based on model predictive control and including RDG regulation[J]. Transactions of China Electrotechnical Society, 2019, 34(10): 2022–2037
[16] GUO Y F, WU Q W, GAO H L, et al. Double-time-scale coordinated voltage control in active distribution networks based on MPC[J]. IEEE Transactions on Sustainable Energy, 2020, 11(1): 294–303.
[17] ZHANG C, CHEN H Y, SHI K, et al. A multi-time reactive power optimization under interval uncertainty of renewable power generation by an interval sequential quadratic programming method[J]. IEEE Transactions on Sustainable Energy, 2019, 10(3): 1086–1097.
[18] 蔡永翔, 唐巍, 徐鸥洋, 等. 含高比例户用光伏的低压配电网电压控制研究综述[J]. 电网技术, 2018, 42(1): 220–229
CAI Yongxiang, TANG Wei, XU Ouyang, et al. Review of voltage control research in LV distribution network with high proportion of residential PVs[J]. Power System Technology, 2018, 42(1): 220–229
[19] TURITSYN K, SULC P, BACKHAUS S, et al. Options for control of reactive power by distributed photovoltaic generators[J]. Proceedings of the IEEE, 2011, 99(6): 1063–1073.
[20] 李祖明, 徐光福, 陈俊, 等. 大型光伏电站快速无功控制系统研制及应用[J]. 中国电力, 2020, 53(3): 177–184
LI Zuming, XU Guangfu, CHEN Jun, et al. Development and application of fast reactive power control system for large-scale PV power plant[J]. Electric Power, 2020, 53(3): 177–184
[21] 杨亘烨, 孙荣富, 丁然, 等. 计及光伏多状态调节能力的配电网多时间尺度电压优化[J/OL]. 中国电力: 1–10[2021-10-12]. http://kns.cnki.net/kcms/detail/11.3265.TM.20210506.0929.002.html.
YANG Genye, SUN Rongfu, DING Ran, et al. Multi time scale reactive power and voltage optimization of distribution network considering photovoltaic multi state regulation capability[J/OL]. China Electric Power: 1–10[2021-10-12]. http://kns.cnki.net/kcms/detail/11.3265.TM.20210506.0929.002.html.
[22] 刘永强, 郑宁宁, 邵云峰, 等. 基于混合粒子群优化的含分布式电源配电网分层规划方法研究[J]. 智慧电力, 2019, 47(12): 85–92,109
LIU Yongqiang, ZHENG Ningning, SHAO Yunfeng, et al. Bi-level planning method for distribution network with distributed generations based on hybrid particle swarm optimization[J]. Smart Power, 2019, 47(12): 85–92,109
[23] 张占强, 窦春霞, 岳东, 等. 考虑通信时延的事件触发电压分布式协同控制[J]. 中国电机工程学报, 2020, 40(17): 5426–5435
ZHANG Zhanqiang, DOU Chunxia, YUE Dong, et al. Event-triggered voltage distributed cooperative control with communication delay[J]. Proceedings of the CSEE, 2020, 40(17): 5426–5435
[24] 黎嘉明, 艾小猛, 文劲宇, 等. 光伏发电功率持续时间特性的概率分布定量分析[J]. 电力系统自动化, 2017, 41(6): 30–36
LI Jiaming, AI Xiaomeng, WEN Jinyu, et al. Quantitative analysis of probability distribution for duration time characteristic of photovoltaic power[J]. Automation of Electric Power Systems, 2017, 41(6): 30–36