计及元件限幅特性的电压稳定多解最小裕度识别方法OA
Identification Method for Minimum Voltage Stability Margin Among Multiple Solutions Considering Component Limiting Characteristics
[目的]针对元件限幅特性导致的潮流多解及电压稳定临界点多解问题,提出一种阶段式最小电压稳定裕度识别方法.[方法]根据电压稳定裕度与越限步长的相关关系识别系统最小电压稳定裕度,首先采用互补约束方法筛除不可行解,随后基于灵敏度分析预测最早出现的越限行为并形成一览表,最后对一览表中关键解进行详细计算,获得系统最小负荷裕度.[结果]算例结果表明,所提方法对首次越限行为的预测误差约为2.11%,且相较于逐个求解连续潮流结果,该方法的计算时间缩短近40%,实现了识别精度与计算效率的平衡.[结论]所提方法可以在保证求解精度的前提下显著提升计算效率,为电压稳定多解问题研究提供了理论和模型参考.
[Objective]To address the problems of multiple power flow solutions and multiple voltage stability critical points caused by component limiting characteristics,a staged identification method for identifying the minimum voltage stability margin is proposed.[Methods]The minimum voltage stability margin is identified based on the correlation between the voltage stability margin and the violation step length.First,a complementary constraint method is employed to filter out infeasible solutions.Then,a sensitivity analysis is performed to predict the earliest violation behavior and generate a summary list.Finally,the critical solutions in the list are computed in detail to obtain the minimum load margin.[Results]The case study results show that the proposed method has a prediction error of about 2.11%for the first limit violation,and its computation time is reduced by nearly 40%compared with solving the continuation power flow case by case,achieving a balance between identification accuracy and computational efficiency.[Conclusions]The proposed method significantly improves computational efficiency while ensuring solution accuracy,providing a theoretical and model reference for research on multiple solution problems in voltage stability.
孙文浩;王蕾;刘奇;刘红岩
山东省新型配用电技术与装备重点实验室(山东理工大学),山东省 淄博市 255000||山东理工大学电气与电子工程学院,山东省 淄博市 255000山东省新型配用电技术与装备重点实验室(山东理工大学),山东省 淄博市 255000||山东理工大学电气与电子工程学院,山东省 淄博市 255000海南电网有限责任公司电力科学研究院,海口市 570226海南电网有限责任公司电力科学研究院,海口市 570226
信息技术与安全科学
电压稳定临界点限幅特性多解问题灵敏度分析
voltage stability critical pointlimiting characteristicsmultiple solutionssensitivity analysis
《电力建设》 2026 (10)
75-84,10
This work is supported by National Natural Science Foundation of China(No.52377109)and Hainan Provincial Natural Science Foundation of China(No.525QY910). 国家自然科学基金项目(52377109)海南省自然科学基金项目(525QY910)
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