Fault Detection in IEEE 33kV Distribution and Micro-Grid Networks using Hybrid Fuzzy-GA Approach

Abstract

In this paper an intelligent technique of Fuzzy and GA approaches are proposed for detecting faults in IEEE 33KV Distribution. To decrease the outage time and in addition to improve service of dependability, it is necessary on behalf of operators to be detector fault segments as like as possible. This method solves the complexity of Network drastically, to keep the circuit accurate and recognizes crucial false regions utilizing the Fuzzy-GA approach. The equipment and network are sometime behave like an insufficient manner. In this research work potential issues and fault detection issues are managed by circuit breakers and transfers. The figure of enrollment factors effecting the distribution such as phase variation, voltage fluctuations and variable potentiality issues. The techniques which are described in above conversation is implemented and verified on an IEEE 33kV circulation system and also applied on a Micro-Grid network as case studies. This research gives the outperform results and challenging the present technologies.