Abstract
This paper presents Advanced Particle Swarm Optimization (APSO) algorithm for solving optimal reactive power problem. In this work Biological Particle swarm Optimization algorithm utilized to solve the problem by eliminating inferior population & keeping superior population, to make full use of population resources and speed up the algorithm convergence. Projected Advanced Particle Swarm Optimization (APSO) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the superior performance of the proposed Advanced Particle Swarm Optimization (APSO) algorithm in reducing the real power loss and static voltage stability margin (SVSM) Index has been enhanced.
Highlights
Main objective of the Optimal reactive power dispatch (ORPD) problem is to minimize the real power loss and to enhance the voltage stability index
This paper presents Advanced Particle Swarm Optimization (APSO) algorithm for solving optimal reactive power problem
In this work Biological Particle swarm Optimization algorithm utilized to solve the problem by eliminating inferior population & keeping superior population, to make full use of population resources and speed up the algorithm convergence
Summary
Main objective of the Optimal reactive power dispatch (ORPD) problem is to minimize the real power loss and to enhance the voltage stability index. A variety ofnumerical techniqueslike the gradient method [1,2], Newton method [3] and linear programming [4,5,6,7] have been adopted to solve the optimal reactive power dispatch problem. Global optimization has received wide-ranging research responsiveness, and enormousnumber of methods has been applied to solve this problem Evolutionary algorithms such as genetic algorithm have been already proposed to solve the reactive power flow problem [9,10].Evolutionary algorithm is a heuristic approach used for minimization problems by utilizing nonlinear and non-differentiable incessant space functions. In [19], a programming based proposed approach used to solve the optimal reactive power dispatch problem. Projected Advanced Particle Swarm Optimization (APSO) algorithm has been tested on standard IEEE 30 bus test system and simulation results shows clearly about the superior performance of the proposed Advanced Particle Swarm Optimization (APSO) algorithm in reducing the real power loss and static voltage stability margin (SVSM) Index has been enhanced
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