Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) Algorithm for Solving Optimal Reactive Power Dispatch Problem
K. Lenin, B. Ravindranath Reddy, and M. Surya Kalavathi
Jawaharlal Nehru Technological University Kukatpally, Hyderabad 500 085, India
Abstract—This paper presents an algorithm for solving the multi-objective reactive power dispatch problem in a power system. Modal analysis of the system is used for static voltage stability assessment. Loss minimization and maximization of voltage stability margin are taken as the objectives. Generator terminal voltages, reactive power generation of the capacitor banks and tap changing transformer setting are taken as the optimization variables. This paper introduces, an evolutionary algorithm based on the hybrid genetic algorithm (GA) and particle swarm optimization (PSO), denoted by HGAPSO is used to solve reactive power dispatch problem.
Index Terms—modal analysis, optimal reactive power, transmission loss, genetic algorithm, particle swarm optimization, optimization
Cite: K. Lenin, B. Ravindranath Reddy, and M. Surya Kalavathi, "Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) Algorithm for Solving Optimal Reactive Power Dispatch Problem," International Journal of Electronics and Electrical Engineering, Vol. 1, No. 4, pp. 262-268, December 2013. doi: 10.12720/ijeee.1.4.262-268
Index Terms—modal analysis, optimal reactive power, transmission loss, genetic algorithm, particle swarm optimization, optimization
Cite: K. Lenin, B. Ravindranath Reddy, and M. Surya Kalavathi, "Hybrid Genetic Algorithm and Particle Swarm Optimization (HGAPSO) Algorithm for Solving Optimal Reactive Power Dispatch Problem," International Journal of Electronics and Electrical Engineering, Vol. 1, No. 4, pp. 262-268, December 2013. doi: 10.12720/ijeee.1.4.262-268
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