Data-driven Voltage Sensitivity Sensing Method for Distribution Network

被引：0
作者：
Li W. [1 ]
Dou X. [1 ]
Zhang K. [1 ]
Hu J. [1 ]
Lü Y. [1 ]
机构：
[1] School of Electrical Engineering, Southeast University, Jiangsu Province, Nanjing
来源：
Dianwang Jishu/Power System Technology | 2023年 / 47卷 / 11期
关键词：
distribution network; least square method; neural network; support vector machine; voltage sensitivity;
D O I：
10.13335/j.1000-3673.pst.2022.1764
中图分类号：
学科分类号：
摘要：
Voltage sensitivity is an important electrical parameter for a distribution network, but the problems such as the unclear topology, the unknown line parameters and the missing real-time measurement have brought difficulties to the sensitivity calculation. In order to solve the above problems, a data-driven voltage sensitivity sensing method for distribution networks is proposed. Firstly, based on the historical data, the mapping relationship between the injected power and voltage is fitted by the generalized regression neural network (GRNN), and the smoothing factor is optimized by the pattern search method; Secondly, several groups of the small change sets of the injected power and voltage are obtained under different operating states of the distribution network, and the voltage sensitivity matrix under such states is obtained by the least square fitting; Finally, considering the incomplete real-time measurement, the voltage sensitivity has to be calculated off-line, and the mapping relationship between some key measurements and the voltage sensitivity is fitted by the support vector machine (SVM). The effectiveness of the strategy is verified by a simulation example. © 2023 Power System Technology Press. All rights reserved.
引用
收藏
页码：4711 / 4718
页数：7
相关论文
共 28 条
[1]  
HU Angang, China's goal of achieving carbon peak by 2030 and its main approaches[J], Journal of Beijing University of Technology (Social Sciences Edition), 21, 3, pp. 1-15, (2021)
[2]  
CHEN Can, FAN Xiaowei, ZHANG Wenhao, Two-staged generation-grid-load-energy storage interactive optimization operation strategy for promotion of distributed photovoltaic consumption[J], Power System Technology, 46, 10, pp. 3786-3799, (2022)
[3]  
WANG Ying, WEN Fushuan, ZHAO Bo, Analysis and countermeasures of voltage violation problems caused by high-density distributed photovoltaics[J], Proceedings of the CSEE, 36, 5, pp. 1200-1206, (2016)
[4]  
EL-NAGGAR A, ERLICH I．, Control approach of three-phase grid connected PV inverters for voltage unbalance mitigation in low-voltage distribution grids[J], IET Renewable Power Generation, 10, 10, pp. 1577-1586, (2016)
[5]  
LIU Keyan, HE Kaiyuan, SHENG Wanxing, A cooperative particle swarm optimization based state estimation of unbalanced three-phase distribution network[J], Power System Technology, 38, 4, pp. 1026-1031, (2014)
[6]  
LI Yingliang, CAI Heming, WANG Kang, Sequence optimal configuration of distributed energy storage for improving voltage quality of unbalanced distribution network[J], Electric Power Construction, 43, 1, pp. 87-95, (2022)
[7]  
YAO Yan, YAN Haojun, XU Jiayu, Evaluation on photovoltaic siting based on probabilistic voltage sensitivity of distribution network[J], Proceedings of the CSU-EPSA, 32, 4, pp. 92-97, (2020)
[8]  
YAO Hongmin, DU Xinhui, LI Tingjun, Simulation of consumption capacity and voltage control strategy of distribution network with high penetration of photovoltaics[J], Power System Technology, 43, 2, pp. 462-469, (2019)
[9]  
DOU Xiaobo, CHANG Limin, NI Chunhua, Multi-level dispatching and control of active distribution network for virtual cluster of distributed photovoltaic[J], Automation of Electric Power Systems, 42, 3, pp. 21-31, (2018)
[10]  
ZHANG Lu, XU Biao, TANG Wei, Intra-day correction strategy of dispatching plan for AC/DC hybrid distribution network based on spatio-temporal power coordination[J], Automation of Electric Power Systems, 45, 24, pp. 106-114, (2021)
123