Probabilistic evaluation of power system static voltage stability with wind power uncertainty based on the Gram-Charlier expansion

被引：0
|
作者：
Na G. [1 ]
Wei J. [2 ]
Wang L. [1 ]
Wang C. [3 ]
机构：
[1] State Grid Liaoning Electric Power Co., Ltd., Shenyang
[2] Huadian Electric Power Research Institute, Shenyang
[3] School of Electrical Engineering, Northeast Electric Power University, Jilin
来源：
| 1600年 / Power System Protection and Control Press卷 / 49期
关键词：
Gram-Charlier; Load margin; Semi-invariant method; Steady-state voltage stability;
D O I：
10.19783/j.cnki.pspc.200435
中图分类号：
学科分类号：
摘要：
The volatility and randomness of renewable energy have exacerbated the difficulty of evaluating static voltage stability in traditional power systems. In order to effectively account for the impact of wind power output uncertainty on static voltage stability assessment, first, the sensitivity of each node load margin to wind power injection power is derived through the power system load margin. Further, each order semi-invariant and each order moment of power system load margin are determined. Then, combining the various moments and semi-invariants of the injected power of the nodes connected to the wind power, the Gram-Charlier expansion of the various moments of the load margin is carried out. Thus the probability distribution of the load margin is obtained by taking into account the uncertainty of wind power to realize the probability assessment of the static voltage stability of the power system. Finally, the accuracy and effectiveness of the proposed method are verified by the IEEE30 node system. © 2021, Power System Protection and Control Press. All right reserved.
引用
收藏
页码：115 / 122
页数：7
相关论文
共 29 条
  • [1] ZHU Ze'an, ZHOU Xiuning, WANG Xu, Et al., Evaluation and decision-making of regional multi-renewable energy system based on steady-transient integrated simulation, Transactions of China Electrotechnical Society, 35, 13, pp. 2780-2791, (2020)
  • [2] HU Bo, WANG He, YAO Sen, Optimal economic operation of isolated community microgrid incorporating temperature controlling devices, Protection and Control of Modern Power Systems, 2, 1, pp. 70-80, (2017)
  • [3] LIU Gushuai, XIAO Yiyao, HE Yuqiang, Et al., Multi-objective optimal method considering types of grid connected new energy of electric power system, Power System Protection and Control, 45, 10, pp. 31-37, (2017)
  • [4] LI X, YAO L, HUI D., Optimal control and management of a large-scale battery energy storage system to mitigate fluctuation and intermittence of renewable generations, Journal of Modern Power Systems and Clean Energy, 4, 4, pp. 593-603, (2016)
  • [5] LI Dongbo, LI Fengting, SONG Xueqiang, Et al., Research on risk management of participatory alternative power plants to promote new energy consumption, Power System Protection and Control, 47, 11, pp. 30-36, (2019)
  • [6] ZHANG Hong, HOU Ning, GE Dechu, Et al., Modeling and reliability analysis of benefit-risk portfolio optimization for supply and demand interactive distributed generation system, Transactions of China Electrotechnical Society, 35, 3, pp. 623-635, (2020)
  • [7] YUAN Haoyu, JIANG Tao, JIA Hongjie, Et al., Real-time wide-area loading margin sensitivity (WALMS) in power systems, 2015 IEEE Power & Energy Society General Meeting, (2015)
  • [8] CHEN Ruchang, CHEN Fei, ZHANG Fan, Et al., Control strategies for grid-connected microsource in new energy power systems, Power System Protection and Control, 43, 12, pp. 55-60, (2015)
  • [9] FANG Yin, XI Peiyu, SHEN Qingbin, Et al., Quantitative analysis of the impact of renewable energy penetration on the cost-effectiveness of "supply-grid-load, Smart Power, 47, 5, pp. 43-50, (2019)
  • [10] ZHOU Dong, CHEN Fudong, ZOU Hongbo, Et al., Dynamic economic scheduling for renewable energy based on improve fireworks algorithm, Smart Power, 47, 5, pp. 59-64, (2019)
123