Application of a fast and elitist multi-objective genetic algorithm to Reactive Power Dispatch

• Main Authors: Subramanian Ramesh, Subramanian Kannan, Subramanian Baskar
• Format: Article
• Language: English
• Published: Faculty of Technical Sciences in Cacak 2009-01-01
• Series: Serbian Journal of Electrical Engineering
• Subjects: Reactive Power Dispatch; multi-objective; non-dominated sorting genetic algorithm; optimization
• Online Access: http://www.doiserbia.nb.rs/img/doi/1451-4869/2009/1451-48690901119S.pdf

This paper presents an Elitist Non-Dominated Sorting Genetic Algorithm version II (NSGA-II), for solving the Reactive Power Dispatch (RPD) problem. The optimal RPD problem is a nonlinear constrained multi-objective optimization problem where the real power loss and the bus voltage deviations are to be minimized. Since the problem is treated as a true multi-objective optimization problem, different trade-off solutions are provided. The decision maker has an option to choose a solution among the different trade-off solutions provided in the pareto-optimal front. The standard IEEE 30-bus test system is used and the results show the effectiveness of NSGA-II and confirm its potential to solve the multi-objective RPD problem. The results obtained by NSGA-II are compared and validated with conventional weighted sum method using Real-coded Genetic Algorithm (RGA) and NSGA.