Optimal Placement of Distributed Generation Using Shuffled Frog Leaping and Genetic Algorithms

摘要

In this paper the Shuffled Frog Leaping Algorithm (SFLA) and Genetic Algorithm (GA) have been used for optimal placement of Distributed Generation (DG) in a primary distribution system to minimize the total real power loss. The SFLA and GA are used to determine optimal sizes and locations of multi-DGs to reduce the real power loss and improve the voltage profile. The exact loss has been calculated by using the distribution load flow; before and after DG installation. The results obtained from the proposed methodology applied to a 45-bus radial distribution system demonstrate its good performance and applicability. Test results indicate that SFLA and GA method can obtain better results than the simple heuristic search method. Also the results show that the SFLA is better than GA in order to obtain maximum loss reduction for each case of optimally placed multi-DGs. Moreover, it can be concluded that the voltage profile has been improved by using the proposed methods. Copyright © 2011 Praise Worthy Prize S.r.L - All rights reserved.