Real Power Loss Reduction by Integration of Particle Swarm Optimization with Improved Genetic Algorithm


Author (s):

  1. Dr.B.RavindhranathReddy, Jawaharlal Nehru Technological University Kukatpally, Hyderabad, India
  2. Dr.M.Surya kalavathi, Jawaharlal Nehru Technological University Kukatpally, Hyderabad, India
  3. Mr.K.Lenin, Jawaharlal Nehru Technological University Kukatpally, Hyderabad, India, gklenin@gmail.com

Abstract:

This paper presents integration of particle swarm optimization with improved genetic Algorithm for solving reactive power problem.In Standard Particle Swarm Optimization (PSO) algorithm each particle studies its own preceding best solution and the group’s earlier best solution. Major problem exists in PSO is its inclination of trapping into local optima. This paper proposes a fusion method by combining a Euclidian distance (EU) based genetic algorithm (GA) with particle swarm optimization (PSO) method called as Cohesive particle swarm optimization (CPSO). Simulation results demonstrate good performance of CPSO in solving reactive power problem. In order to evaluate the efficiency of the proposed algorithm, it has been tested on IEEE 30 bus system and compared to other standard reported algorithms. Results show that CPSO is more efficient in reducing the real power loss and also voltage profiles are within the limits.

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