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

S. Ramesh | Zendy; S. Kannan | Zendy; S. Baskar | Zendy

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

Author(s) -

S. Ramesh,

S. Kannan,

S. Baskar

Publication year - 2009

Publication title -

serbian journal of electrical engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.133

H-Index - 5

eISSN - 2217-7183

pISSN - 1451-4869

DOI - 10.2298/sjee0901119s

Subject(s) - sorting , mathematical optimization , genetic algorithm , multi objective optimization , ac power , computer science , optimization problem , power (physics) , algorithm , mathematics , voltage , engineering , physics , quantum mechanics , electrical engineering

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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