Multi-Area Unit Commitment with Transmission Losses Using Evolutionary Iteration Particle Swarm Optimization Approach
This paper presents a novel approach to solve the multi-area unit commitment problem using evolutionary iteration particle swarm optimization algorithm. The objective of the multi-area unit commitment problem is to determine the optimal or a near optimal commitment strategy for generating units located in multiple areas that are interconnected via tie - lines. This strategy of multi-area joint operation of generation resources can result in significant operational cost savings. The dynamic programming method is applied to solve multi-area unit commitment problem and evolutionary iteration particle swarm optimization algorithm which is embedded for assigning optimum generation.