Loss Diminution and Reliability Enhancement of Radial Distribution System by optimally placing the Distributed Generation Using Evolutionary Algorithms

Abstract

Inclusion of Distributed Generation (DG) with Electrical Distribution System (EDS) provides prospective profit to the conservative distribution systems. Recent days, DG sources are becoming more important due to the increased electricity demand of the power sector. In any distribution network, location and ratings of DG sources will have a profound effect on the system losses. Normally an optimization of DG location and sizing is done for the reason to reduce the loss and to get better voltage profile. This paper includes the impact of DG on various aspects of distribution system operation, such as reliability indices System Average Interruption Frequency Index (SAIFI), System Average Interruption Duration Index (SAIDI), and energy loss. This work finds the solution through the optimization technique Differential Evolution Algorithm (DE) and also appraises the effectiveness of this algorithm by comparing with Gravitation Search Algorithm (GSA). The effectiveness of the suggested methodology is applied on IEEE 33 radial bus system.Results reveal the competency of the proposed DE algorithm to find the optimal location and rating of the DG units for reducing the power loss, voltage deviation and improve the reliability of radial distribution system.