Online probabilistic assessment of static voltage stability margin for power systems with a high proportion of renewable energy

被引：0
|
作者：
Qi J. [1 ]
Yao L. [1 ]
Liao S. [1 ]
Liu Y. [1 ]
Pu T. [2 ]
Li J. [2 ]
Wang X. [2 ]
机构：
[1] School of Electrical Engineering and Automation, Wuhan University, Wuhan
[2] China Electric Power Research Institute, Beijing
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2023年 / 51卷 / 05期
关键词：
extreme learning machine; high proportional renewable energy; probabilistic assessment; static voltage stability margin; uncertainty model;
D O I：
10.19783/j.cnki.pspc.220677
中图分类号：
学科分类号：
摘要：
The randomness, volatility and weak regulation characteristics of renewable energy have brought new challenges to the static voltage safety and stability of a power system. In view of this, an online probability evaluation method of static voltage stability margin of a power system with a high proportion of renewable energy considering the bilateral uncertainties of source and load is proposed. First, the influence of a large number of renewable energies replacing traditional units on static voltage stability margin is analyzed based on the difference of reactive power regulation characteristics between them. Then the influence of renewable energy output uncertainty on the distribution range of the stability margin is analyzed, and source and load uncertainty models are established to generate typical scenarios. Finally, in order to deal with the rapid fluctuation of stability margin brought by renewable energy, an online probability assessment method of stability margin based on optimized ELM-KDE is proposed. The stability margin of typical scenarios is predicted by an optimized extreme learning machine (ELM), and its probability distribution function is accurately obtained by kernel density estimation (KDE). The expected margin of static voltage stability and the risk of static voltage stability are constructed to characterize the results. Simulation tests are carried out on the New England 39 and IEEE 300 node systems, and the results are compared with the traditional Monte Carlo calculation results to verify the effectiveness of the proposed method. © 2023 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码：47 / 57
页数：10
相关论文
共 34 条
  • [1] HU Yuan, XUE Song, ZHANG Han, Et al., Cause analysis and enlightenment of global blackouts in the past 30 years, Electric Power, 54, 10, pp. 204-210, (2021)
  • [2] Final report on the August 14, 2003 blackout in the United States and Canada: causes and recommendations
  • [3] ZHANG Yue, XIE Guanglong, ZHANG Quan, Et al., Analysis of 2·15 power outage in Texas and its implications for the power sector of China, Electric Power, 54, 4, pp. 192-198, (2021)
  • [4] FAN Chen, YAO Jianguo, ZHANG Qibing, Et al., Reflection and analysis for oscillation of the blackout event of 9 August 2019 in UK, Electric Power Engineering Technology, 39, 4, pp. 34-41, (2020)
  • [5] KANG Chongqing, YAO Liangzhong, Key scientific issues and theoretical research framework for power systems with high proportion of renewable energy, Automation of Electric Power Systems, 41, 9, pp. 2-11, (2017)
  • [6] LU Zongxiang, LI Hao, QIAO Ying, Morphological evolution of power systems with high share of renewable energy generations from the perspective of flexibility balance, Journal of Global Energy Interconnection, 4, 1, pp. 12-18, (2021)
  • [7] YAN Daobo, WEN Jinyu, DU Zhi, Et al., Analysis of Texas blackout in 2021 and its enlightenment to power system planning management, Power System Protection and Control, 49, 9, pp. 121-128, (2021)
  • [8] YAN R, MASOOD N A, SAHA T K, Et al., The anatomy of the 2016 South Australia blackout: a catastrophic event in a high renewable network, IEEE Transactions on Power Systems, 33, 12, pp. 5374-5388, (2018)
  • [9] ZHONG Chengyuan, GUI Qianjin, JIANG Qianjun, Et al., Data-driven distributed voltage control for high-penetration renewable power clusters without complete model, Journal of Global Energy Interconnection, 5, 3, pp. 251-260, (2022)
  • [10] BGAO Yihang, XU Xiaochun, LI Peng, Et al., Dual-timescale grid voltage control for high-proportion new energy grid-connected, Power System and Clean Energy, 37, 5, pp. 115-122, (2021)
1234