OPTIMAL DG PLACEMENT IN A RADIAL DISTRIBUTION NETWORK FOR RELIABILITY IMPROVEMENT

Abstract

This paper presents an efficient Grey Wolf Optimization technique to improve the reliability of distribution systems. Various reliability objectives such as energy not supplied, System Average interruption Frequency Index and System Average Interruption Duration Index are solved using the Grey Wolf Optimization method for optimal placement of distributed generators in radial feeders for reliability enhancement. Distributed generation sources are becoming more prominent in distribution systems due to the incremental demands for electrical energy and sometimes provide the lowest cost solution to handling low-voltage or overload problems. Siting and sizing of Distributed generation sources have profoundly impacted on the system losses in a distribution network. Assessment of customer power supply reliability is an important part of distribution system operation and planning. Distribution system reliability assessment is able to predict the interruption profile of a distribution system based on system topology and component reliability data. Distributed generation is being adopted in distribution networks with one of the objectives being enhancement of system reliability. Grey Wolf Optimization technique is proposed to obtain the optimal location DG to improve the reliability. The effectiveness of the proposed objective functions has been investigated on standard test distribution systems (69 bus radial distribution systems).