Optimal Generation Rescheduling for Congestion Mitigation using New Variant of Derivative Free Optimization Method

Abstract

Proposed work describes the process of rescheduling active power generation to alleviate transmission congestion in a most economic manner considering all the system constraints. Most severe line outage has been considered as the congested line using LODF factor. The concept of GSF has been used for selection of generators to be rescheduled for congestion management. Time-Varying Acceleration Constant-Time-Varying Inertia Weight Particle Swarm Optimization (TVAC-TVIW PSO) based optimization algorithm has been developed to minimize the congestion cost and to reallocate active power generation schedule. The algorithm is tested on modified IEEE 39 bus test system. The results show a Comparative reduction in congestion cost along with reduced transmission loss and improved voltage profile of the entire test system.

Keywords: Congestion management, rescheduling of generators, TVAC-TVIW PSO