Design and Development of Modified PSO Algorithm for Network Reconfiguration


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Abstract


This paper presents Adaptive Mutation Particle Swarm Optimization algorithm for minimization of losses of a Reconfigured Radial Distribution Network. The salient feature of the algorithm is, the ability of particle swarm optimization (PSO) algorithm to break away from the local optimum is greatly improved by the mutation. The basic idea of the proposed algorithm is: during running time the mutation probability adjusts in accordance to variance of population’s fitness and current optimal solution. Due to this, the particle will search in the regions where the possibility of locating to more optimal pbest and gbest values. Also, the direction of the particle instead of being random follows a well defined path by properly tuning the position and velocity of the particle which takes to the global optimum position or at least at the vicinity of global optimum. The algorithm is tested on a standard IEEE 16, 32 and 69 bus systems.
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Keywords


AMPSO; Distribution Systems; Power Loss; Reconfiguration

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References


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