Application of a fast and elitist multi-objective genetic algorithm to Reactive Power Dispatch
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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Faculty of Technical Sciences in Cacak
2009-01-01
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Series: | Serbian Journal of Electrical Engineering |
Subjects: | |
Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-4869/2009/1451-48690901119S.pdf |
Summary: | 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. |
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ISSN: | 1451-4869 2217-7183 |