艾力西尔·亚尔买买提, 辛焕海, 王玮, 鞠平. 新型电力系统频域稳定判据的置信度问题探讨[J]. 中国电机工程学报, 2025, 45(4): 1299-1310. DOI: 10.13334/j.0258-8013.pcsee.232271
引用本文: 艾力西尔·亚尔买买提, 辛焕海, 王玮, 鞠平. 新型电力系统频域稳定判据的置信度问题探讨[J]. 中国电机工程学报, 2025, 45(4): 1299-1310. DOI: 10.13334/j.0258-8013.pcsee.232271
YAERMAIMAITI Ailixier, XIN Huanhai, WANG Wei, JU Ping. Discussion on the Confidence of Frequency-domain Stability Criteria for New-type Power Systems[J]. Proceedings of the CSEE, 2025, 45(4): 1299-1310. DOI: 10.13334/j.0258-8013.pcsee.232271
Citation: YAERMAIMAITI Ailixier, XIN Huanhai, WANG Wei, JU Ping. Discussion on the Confidence of Frequency-domain Stability Criteria for New-type Power Systems[J]. Proceedings of the CSEE, 2025, 45(4): 1299-1310. DOI: 10.13334/j.0258-8013.pcsee.232271

新型电力系统频域稳定判据的置信度问题探讨

Discussion on the Confidence of Frequency-domain Stability Criteria for New-type Power Systems

  • 摘要: 揭示机理和选择判据是电力系统稳定研究中的重要工作,但获得的稳定机理是否可信以及稳定判据是否可靠缺乏分析方法。针对此问题,该文探讨电力系统稳定机理的内涵,提出稳定判据及其导出机理的置信度问题;其次,聚焦电力系统在平衡点邻域的动态特性,将置信度问题转化为是否反映主要矛盾的问题,并从稳定裕度的鲁棒性角度提出主要矛盾的辨识方法和稳定判据及其导出机理的置信度评估方法;进一步,针对众多电力系统典型频域判据,从广义特征值近似奇异值的角度解释这些判据有效的原因,并分析其导出机理的置信度。最后,通过算例分析和仿真验证了所提方法的有效性。

     

    Abstract: Revealing the stability mechanism of the power system forms the foundation for resolving stability issues. However, the reliability of the obtained stability mechanism lacks analytical methods. To solve this problem, the connotation of stability mechanism of power system is analyzed and then the confidence of stability criterion and its derived mechanism is proposed. Next, focusing on the dynamic characteristics of power system in the equilibrium neighborhood, the confidence problem of stability criterion/mechanism is transformed into an evaluation problem of principal contradiction. The identification method of principal contradiction and the confidence evaluation method of stability criterion/mechanism are proposed from the robustness of the stability margin. Further, the reason why many typical frequency-domain criteria of power systems are valid is explained from the perspective of generalized eigenvalues approximating singular values. Finally, the validity of the proposed methods is verified by simulation.

     

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