Lion algorithm for generation rescheduling based congestion management in deregulated power system

Rescheduling based congestion management approach is one of the promising solutions for secure and continuous power flow in the transmission line, yet the problem rises in the basis of rescheduling cost. Despite numerous optimization algorithms are reported in literature to address the congestion management, we have adopted the powerful optimization algorithm namely Lion Algorithm (LA) to solve the congestion with minimized rescheduling cost. Further, the performance of the proposed optimization 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. Experimental investigation is carried out in IEEE 14 bus system and IEEE 30 bus system. The experimental results show that the performance level of LA-based rescheduling strategy is 35% better than PSO-based rescheduling strategy, GA-based rescheduling strategy, and FF-based rescheduling strategy, also it is observed that LA-based rescheduling strategy is 28% better from ABC-based rescheduling strategy. Thus the proposed optimization algorithm LA provides better performance with minimized rescheduling cost.