Frequency nadir prediction for large disturbances in power systems considering detailed governor system models and frequency regulation reserves

被引：0
作者：
Mo W. [1 ]
Yan H. [1 ]
Zhao T. [2 ]
Chen H. [3 ]
机构：
[1] Energy and Power Research Center, School of International Energy, Jinan University, Zhuhai
[2] School of Electrical Engineering, Xi’an Jiaotong University, Xi’an
[3] School of Electric Power, South China University of Technology, Guangzhou
来源：
Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control | 2024年 / 52卷 / 09期
关键词：
frequency nadir; frequency regulation reserve; open-loop decoupling of ASF model; primary frequency response;
D O I：
10.19783/j.cnki.pspc.231135
中图分类号：
学科分类号：
摘要：
With the increasing proportion of renewable energy in the power system, system inertia decreases, and frequency control resources become scarcer, posing a severe challenge to system frequency stability. Therefore, in this context of ever-changing operation scenarios, it is particularly important to rapidly and accurately assess the power system frequency security indices when there are large power disturbances. Specifically, the frequency nadir, which has a highly nonlinear and unexpressed quantitative relationship with multiple parameters, making it difficult to predict accurately and quickly, is a research focus in the power system frequency security assessment. However, current methods for rapidly predicting the frequency nadir do not adequately consider the impact of frequency regulation reserves. This paper, based on a parabolic approximation of system frequency deviation for the average system frequency (ASF) model, presents an open-loop decoupling approach. This approach allows for the quantification of the relationship between the system frequency nadir and governor output power while accounting for frequency regulation reserves. Ultimately, it facilitates the rapid prediction and evaluation of the frequency nadir, considering the impact of frequency regulation reserves. The accuracy of this method is validated through case studies on a small system and the ACTIVSg2000 system, with prediction accuracies of 99.28% and 97.71%, respectively. This method is important for addressing issues related to unit commitments with frequency safety constraints, evaluating the effectiveness of frequency stability control measures, and assessing the operational capacity of new energy sources within systems subject to such constraints. © 2024 Power System Protection and Control Press. All rights reserved.
引用
收藏
页码：79 / 87
页数：8
相关论文
共 33 条
  • [1] ZHANG Ziyang, ZHANG Ning, DU Ershun, Et al., Review and countermeasures on frequency security issues of power systems with high shares of renewables and power electronics, Proceedings of the CSEE, 42, 1, pp. 1-25, (2022)
  • [2] LIZhengwen, WANG Xiangxu, DING Qili, Et al., Model-data integration driven based frequency response analysis method, Power System and Clean Energy, 38, 5, pp. 16-24, (2022)
  • [3] GUO Liangjie, WANG Delin, XIE Peng, Et al., Research on frequency stability control strategy of power grid peak shaving operation under high wind power penetration, Thermal Power Generation, 51, 10, pp. 103-113, (2022)
  • [4] SU Peng, CHEN Lu, WU Jian, Et al., Dynamic optimal control model of multi-energy inertia in new power system, Electric Power Construction, 43, 9, pp. 87-93, (2022)
  • [5] SUN Huadong, XU Tao, GUO Qiang, Et al., Analysis on blackout in Great Britain power grid on August 9th, 2019 and its enlightenment to power grid in China, Proceedings of the CSEE, 39, 21, pp. 6183-6192, (2019)
  • [6] BO Qibin, WANG Xiaoru, LIU Ketian, Minimum frequency prediction based on v-SVR for post-disturbance power system, Electric Power Automation Equipment, 35, 7, pp. 83-88, (2015)
  • [7] ZHANG Yi, Deep learning based frequency prediction after power system disturbance, (2018)
  • [8] LI Guanzheng, LI Bin, WANG Shuai, Et al., Dynamic frequency prediction of power system post-disturbance based on feature selection and random forest, Power System Technology, 45, 7, pp. 2492-2502, (2021)
  • [9] ZHAO Dongmei, ZHENG Yarui, XIE Jiakang, Et al., Frequency stability evaluation of power system containing wind power based on light gradient boosting machine and generative adversarial network, Power System Technology, 46, 8, pp. 3181-3193, (2022)
  • [10] CHEN Zhe, DENG Baohua, JIN Jianxin, Et al., Frequency safety evaluation of microgrid with electricity-gas-heat coupling system, Proceedings of the CSU-EPSA, 34, 6, pp. 61-70, (2022)
1234