Cost effective Distributed Generation placement using differential evolution for loss reduction in networked systems

From the recent literature available the conventional practice of Distributed Generation (DG) is in distribution systems and which then extended to transmission systems for obvious reasons of getting better performance such as maximum real loss reduction, better voltage profile etc. The performance improvement of the system is mainly depends not only on DG itself rather in the finding of proper location and rating of the same. But such placement must be in the aspect of economic point of view. This article proposes a new strategy of DG placement using Fuzzy and differential evolution algorithm, for optimizing an objective function which produces maximum cost saving, yet better loss reduction in transmission systems. The proposed methodology is verified on IEEE 14 bus test system and the results obtained are encouraging.