Abstract
This paper presents Harmony Search algorithm (HS) for solving the reactive power problem. Real power loss minimization is the major objective & also voltage profiles are should be kept within the limits. This paper introduces a new search model the harmony search (HS) algorithm is a relatively new population-based metaheuristic optimization algorithm. It emulates the music improvisation progression where musicians improvise their instruments’ pitch by searching for a perfect state of harmony. In order to evaluate the efficiency of the proposed algorithm, it has been tested on practical 191 test system & real power loss has been considerably reduced.
Highlights
IntroductionVarious numerical methods like 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
Main objective of optimal reactive power problem is to minimize the real power loss
If linear programming is applied the input- output function has to be uttered as a set of linear functions which mostly lead to loss of accuracy
Summary
Various numerical methods like 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. The problem of voltage stability and collapse play a major role in power system planning and operation [8] Evolutionary algorithms such as genetic algorithm have been already proposed to solve the reactive power flow problem [9,10,11]. In [15], an improved evolutionary programming is used to solve the optimal reactive power dispatch problem. In [19], a programming based approach is used to solve the optimal reactive power dispatch problem. In order to evaluate the efficiency of proposed algorithm, it has been tested on practical 191 test system & real power loss has been considerably reduced
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