电网技术Issue(12)：3489-3496,8.
基于well-being分析的电网设备重要度评估与排序方法
An Assessment and Ranking Method for Component Importance Based on Well-Being Analysis
摘要
Abstract
Component importance assessment is the important content of the power grid risk assessment and control, the existing methods cannot take the influence of weather condition and other uncertainties into account, meanwhile have problems such as single point of evaluation and low practicality. For this reason, a new assessment and ranking method for component importance is proposed. Firstly, incorporating the risk tracing model and three-state weather model, the method to quantize the contribution of each component to the system operation risk is studied under the framework of well-being risk analysis. On the basis of deriving allocation model of well-being risk index, emergency importance indicator (EII) and alert importance indicator (AII) are defined to indicate the importance of component from different aspects, respectively. Through the state enumeration method, typical expected contingencies sets are selected, and the operation risk of expected contingency are allocated to the individual component successively, then the assessment and ranking for component importance considering weather condition are completed. Case studies on RBTS and IEEE-RTS verify the scientificity and reliability of the proposed method.关键词
well-being风险模型/风险追踪/紧急重要度指标/警戒重要度指标Key words
well-being risk model/risk tracing/emergency importance indicator/alert importance indicator分类
信息技术与安全科学引用本文复制引用
邓彬,郭创新,王越,黄太贵,汤伟..基于well-being分析的电网设备重要度评估与排序方法[J].电网技术,2013,(12):3489-3496,8.基金项目
国家重点基础研究计划(2013CB228206)；国家自然科学基金项目(51177143)；浙江省自然科学基金(LZ12E07002)。Project Supported by the National Basic Research Program of China (973 Program)(2013CB228206) （2013CB228206）
Project Supported by National Natural Science Foundation of China(51177143) （51177143）
Zhejiang Provincial Natural Science Foundation (LZ12E07002) （LZ12E07002）
