A Novel Algorithm for Generation Rescheduling Based Congestion Management

The practitioners and researchers has received considerable attention solving complex optimization problems with metaheuristic algorithms during the past decade. Many of these algorithms are inspired by various phenomena of nature. One of the promising solutions for secure and continuous power flow in the transmission line is rescheduling based congestion management approach but the base problem is rescheduling cost.. To solve the congestion with minimized rescheduling cost, a new population based algorithm, the Lion Algorithm (LA), is introduced in this paper. The basic motivation for development of this optimization algorithm is based on special lifestyle of lions and their cooperation characteristics. Based on some benchmark Lion Algorithm (LA) is compared with the existing conventional algorithms such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA), Artificial Bee Colony (ABC), and Firefly (FF) by analyzing the convergence, cost, and congestion. In IEEE 30 bus system experimental investigation is carried out and the obtained results by the proposed algorithm LA (Lion Algorithm) in comparison to the other algorithms used in this paper.