A decentralized robust voltage control method for distribution networks considering the uncertainty of distributed generation clusters

被引:0
|
作者
Cao J. [1 ,2 ]
Jin Y. [1 ,2 ]
Zheng T. [1 ,2 ]
Xu J. [3 ]
Si Y. [1 ,2 ]
机构
[1] NARI Group Corporation, State Grid Electric Power Research Institute, Nanjing
[2] NARI Technology Co., Ltd., Nanjing
[3] College of Automation, College of Artificial Intelligence, Nanjing University of Posts and Telecommunications, Nanjing
关键词
active distribution network; cluster; decentralized robust voltage control; Louvain algorithm;
D O I
10.19783/j.cnki.pspc.230363
中图分类号
学科分类号
摘要
With the access distributed generation such as photovolatic and energy storage systems, the voltage of the distribution network fluctuates frequently. To solve the uncertainty issues caused by widespread distributed generators, a decentralized robust voltage control is proposed considering the uncertainties of distributed generation clusters. It aggregates large-scale decentralized resources into clusters to perform decentralized voltage control. First, in view of the complex structure of the network and the wide range of generators, a clustering method based on the improved Louvain algorithm is proposed. This further considers the voltage sensitivity and capacity of distributed generators in its modularity function. Second, since the power flow of the distribution network is more variable with distributed generators, a decentralized robust control method considering the uncertainties of the voltage sensitivity is proposed on the basis of cluster divisions. The voltage fluctuations caused by uncertainties such as model parameters and power fluctuations can be suppressed by coordination of controllable clusters. Finally, the feasibility and effectiveness of the proposed method is verified by case studies. © 2023 Power System Protection and Control Press. All rights reserved.
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页码:155 / 166
页数:11
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  • [1] TIAN Fuyin, MA Jun, WANG Can, Et al., Multi-agent low-carbon and economy operation strategy of integrated energy system based on bi-level master-slave game, Electric Power, 55, 11, pp. 184-193, (2022)
  • [2] LIU Daobing, YUAN Ye, LI Shichun, Et al., A review of capacity allocation of renewable energy system using hydrogen storage, Electrical Measurement & Instrumentation, 59, 12, pp. 1-13, (2022)
  • [3] YANG Yulong, WANG Tiantian, CHEN Xiang, Et al., Multi-power level control strategy of an electric heating cluster considering new energy consumption, Power System Protection and Control, 50, 10, pp. 20-30, (2022)
  • [4] XU Biao, ZHANG Guiyuan, LI Ke, Et al., Reactive power optimization of a distribution network with high-penetration of wind and solar renewable energy and electric vehicles, Protection and Control of Modern Power Systems, 7, 4, pp. 801-813, (2022)
  • [5] XU Junjun, WU Zaijun, HU Qinran, Et al., Interval state estimation for active distribution networks considering uncertainties of multiple types of DGs and loads, Proceedings of the CSEE, 38, 11, pp. 3255-3266, (2018)
  • [6] 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, Electric Power, 55, 3, pp. 105-114, (2022)
  • [7] XU Junjun, WU Zaijun, WU Qiuwei, Et al., A robust Restoration decision-making strategy for unbalanced distribution networks considering the uncertainty of photovoltage generators, International Journal of Electrical Power & Energy Systems, 141, (2022)
  • [8] MENG Xin, LIU Jinjun, LIU Zeng, A generalized droop control for grid-supporting inverter based on comparison between traditional droop control and virtual synchronous generator control, IEEE Transactions on Power Electronics, 34, 6, pp. 5416-5438, (2019)
  • [9] CAI Yu, LIN Jin, SONG Yonghua, Et al., Voltage control strategy in active distribution network based on model predictive control, Transactions of China Electrotechnical Society, 30, 23, pp. 42-49, (2015)
  • [10] LUO Jinman, LIU Liyuan, LIU Piao, Et al., An optimal scheduling method for active distribution network considering source network load storage coordination, Power System Protection and Control, 50, 1, pp. 167-173, (2022)