Multi-indicator Inference Scheme for Fuzzy Assessment of Power System Transient Stability  

作　　者：Tingjian Liu Youbo Liu Junyong Liu Yue Yang Gareth A.Taylor Zhengwen Huang 

机构地区：[1]School of Electrical Engineering and Information,Sichuan University,Chengdu 610065,China [2]Electronic and Computer Engineering Brunel University,London,UB83PH,UK.

出　　处：《CSEE Journal of Power and Energy Systems》2016年第3期1-9,共9页中国电机工程学会电力与能源系统学报（英文）

基　　金：supported in part by the National Natural Science Foundation of China(NSFC Project,No.51437003 and No.51261130472).

摘　　要：A multi-indicator inference scheme is proposed in this paper to achieve an intuitive assessment of post-fault transient stability of power systems.The proposed scheme uses the fuzzy inference technique to classify the stability level as“safe,”“low-risk,”“high-risk,”and“danger.”A multi-criteria quality assessment method is first introduced.Several transient indicators are then proposed as assessment criteria.To select the effective indicators for assessment,correlation mining using univariate regression analysis is performed between each indicator and a critical clearance time(CCT)-based stability index.The fuzzy sets of indicators for different stability levels are then determined according to their correlations with the stability index.The weighting factors of indicators are also allocated according to their regression error in correlation mining.The proposed inference scheme is further demonstrated and its effectiveness is validated in case studies on IEEE 68-bus system and a 756-bus transmission system in China.

关 键 词：Fuzzy assessment multi-criteria assessment transient indicators transient stability awareness 

分 类 号：TN9[电子电信—信息与通信工程]