Title: Risk assessment of cascading failure in power system based on fuzzy neural network
Abstract: The basic process and theory of power system cascading failure considering protection system hidden failures were analyzed to decrease bulk blackout failure.The risk model was built,and the risk assessment index and assessment approach of power system cascading failure were proposed based on fuzzy neural network.Some preventive steps were realized by using the trained fuzzy neural network,which could reduce the system cascading failure risk by updating the characters of protection system.This approach grasps the probability and severity of power system cascading failure,so it accurately describes the security state of power system,effectively classifies the system risk,and has faster assessment velocity and good practicality.The feasibility of this approach was illustrated by application in IEEE 118-bus system.
Publication Year: 2007
Publication Date: 2007-01-01
Language: en
Type: article
Access and Citation
Cited By Count: 2
AI Researcher Chatbot
Get quick answers to your questions about the article from our AI researcher chatbot