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电力系统灾难性事故的统一不确定性评估方法
引用本文:马超,肖先勇,杨洪耕.电力系统灾难性事故的统一不确定性评估方法[J].四川大学学报(工程科学版),2011,43(6):173-180.
作者姓名:马超  肖先勇  杨洪耕
作者单位:1. 四川大学电气信息学院,四川成都,610065
2. 四川大学电气信息学院,四川成都610065/智能电网四川省重点实验室,四川成都610065
摘    要:为准确刻画电力系统灾难性事故的潜在风险,从灾难性事故的固有物理属性出发,基于不确定性理论提出了电力系统灾难性事故的统一不确定性评估新方法。将灾难性事故看作不确定事件,分别用可信性测度和全局模糊安全指标描述事故发生的可能性和严重性。以N-1事故作为初始事故,通过对每层N-k事故风险指标排序,识别出系统中最可能发生的灾难性事故序列。对WSCC 9节点系统和某地区实际系统进行仿真分析,与传统方法进行了比较,结果证明本文方法更符合系统实际运行情况,具有准确、有效的特点。

关 键 词:电力系统  灾难性事故  连锁故障  风险评估  不确定性理论
收稿时间:2010/11/20 0:00:00
修稿时间:7/1/2011 4:01:27 AM

United Uncertainty Assessment Method of Power System Catastrophic Accidents
Ma Chao,Xiao Xianyong and Yang Honggeng.United Uncertainty Assessment Method of Power System Catastrophic Accidents[J].Journal of Sichuan University (Engineering Science Edition),2011,43(6):173-180.
Authors:Ma Chao  Xiao Xianyong and Yang Honggeng
Affiliation:School of Electrical Eng. and Info. Technol., Sichuan Univ.;School of Electrical Eng. and Info. Technol., Sichuan Univ.;Smart Grid Key Lab. of Sichuan Province,;School of Electrical Eng. and Info. Technol., Sichuan Univ.;Smart Grid Key Lab. of Sichuan Province,
Abstract:Risk index is a comprehensive measure of possibility and severity of an uncertain failure, which are generally described by component long-term failure probability and severity indices respectively. In practice, due to the time-varying characteristic of component failure probability and the interval feature of its capability to withstand disturbances, several deficiencies indeed exist with the help of a traditional risk approach. Proceeding from the inherent properties of catastrophic failures in a power system, a new method to assess catastrophic failures on the basis of united uncertainty was proposed in this paper. In this method, the notions of credibility measure and global fuzzy security index were developed by taking the united uncertainty of cascading failures into account. The N-k contingency identification was regarded as the calibration standard and the ultimate collapse sequences were obtained through the risk ranking of all contingencies in each simulation layer. As a case study, the WSCC 9-bus system and IEEE 24-bus reliability test system were simulated. Compared with the traditional methods the results have shown that the proposed method is more accordant to actual power system operating states and it is with better accuracy and validity.
Keywords:catastrophic failure  cascading failure model  united uncertainty  risk assessment  assessment method
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