抽象的

Multi-Objective Reactive Power Compensation Using Evolutionary Programming and Particle Swarm Optimization

J. Madhavan, K.R. Venkatesan

The stress on the transmission lines are increasing day by day. So it is very difficult to install new transmission system. So it is better to enhance the performance of existing transmission system by Reactive Power Compensation. Reactive Power Compensation in Electric Power Systems is usually studied as constrained Single-Objective Optimization Problem where an objective function is a factor of transmission line losses only. This paper aims in Multi-Objective Optimization which includes the system voltage deviation, the active power loss in transmission lines and cost involved in reactive power compensation. This has been achieved by using optimization techniques namely Evolutionary Programming and Particle Swarm Optimization. The results of the two methods are compared with each other.