Voltage Control for Partially Visible Distribution Networks With High DG Penetration

被引：0
|
作者：
Zhang Y. [1 ]
Qiao Y. [1 ]
Lu Z. [1 ]
Wang W. [2 ]
机构：
[1] State Key Lab of Control and Simulation of Power Systems and Generation Equipments, Tsinghua University, Haidian District, Beijing
[2] State Grid Gansu Electric Power Company, Lanzhou, 730030, Gansu Province
来源：
Dianwang Jishu/Power System Technology | 2019年 / 43卷 / 05期
基金：
国家重点研发计划;
关键词：
Centralized voltage control; Deep neural network; Distributed generation; Distribution networks;
D O I：
10.13335/j.1000-3673.pst.2018.2986
中图分类号：
学科分类号：
摘要：
The voltage control for distribution networks is challenged by increasing penetration of distributed generations (DGs). Considering the limitation of communication rates and modeling accuracy in distribution networks, a power flow model-free centralized voltage control method is proposed for partially visible distribution networks. Voltage control is redesigned by minimizing voltage deviation. A deep neural network taking visible nodal injection power as input is designed to approximate the key nodal voltage, and the optimization problem is solved with gradient descent method with the well-trained deep neural network. The control gradient is calculated using back propagation based on the deep neural network trained with historical operation data. So the method does not need accurately modeling the distribution system, making it possible to be applied to partially visible distribution networks. Effectiveness of the proposed model-free centralized voltage control method is verified with simulation of a modified IEEE 33 bus system. © 2019, Power System Technology Press. All right reserved.
引用
收藏
页码：1528 / 1535
页数：7
相关论文
共 30 条
  • [1] Wang Y., Wen F., Zhao B., Et al., Analysis and countermeasures of voltage violation problems caused by high-density distributed photovoltaics, Proceedings of the CSEE, 36, 5, pp. 1200-1206, (2016)
  • [2] Wang Z., Zhu S., Zhou S., Et al., Impact of distributed generation on distributed system voltage profile, Automation of Electric Power Systems, 28, 16, pp. 56-60, (2004)
  • [3] Thomson M., Infield D.G., Impact of widespread photovoltaics generation on distribution systems, IET Renewable Power Generation, 1, 1, pp. 33-40, (2007)
  • [4] Mahmud N., Zahedi A., Review of control strategies for voltage regulation of the smart distribution network with high penetration of renewable distributed generation, Renewable & Sustainable Energy Reviews, 64, pp. 582-595, (2016)
  • [5] Antoniadou-Plytaria K.E., Kouveliotis-Lysikatos I.N., Georgilakis P.S., Et al., Distributed and decentralized voltage control of smart distribution networks: models, methods, and future research, IEEE Transactions on Smart Grid, 8, 6, pp. 2999-3008, (2017)
  • [6] Cai Y., Tang W., Xu O., Et al., Review of voltage control research in LV distribution network with high proportion of residential PVs, Power System Technology, 42, 1, pp. 220-229, (2018)
  • [7] Pham H.V., Erlich I., Rueda J.L., Probabilistic evaluation of voltage and reactive power control methods of wind generators in distribution networks, IET Renewable Power Generation, 9, 3, pp. 195-206, (2014)
  • [8] Samadi A., Eriksson R., Soder L., Et al., Coordinated active power-dependent voltage regulation in distribution grids with PV systems, IEEE Transactions on Power Delivery, 29, 3, pp. 1454-1464, (2014)
  • [9] Cavraro G., Carli R., Local and distributed voltage control algorithms in distribution network, IEEE Transactions on Power Systems, 33, 2, pp. 1420-1430, (2017)
  • [10] Liu H.J., Shi W., Zhu H., Distributed voltage control in distribution networks: online and robust implementations, IEEE Transactions on Smart Grid, 9, 6, pp. 6106-6117, (2018)
123