THE OPTIMAL PLANNING OF DISTRIBUTED GENERATION USING OPF AND BUTTERFLY-PSO (BF-PSO) TECHNIQUE

Abstract

In the recent scenario many researchers are working in the field of distributed generation (DG) technology, but the economy, performances, security and reliability of the system are the more challenging issues. This paper presents the optimal planning, i.e. optimal location and sizing of distributed generation (DG) based on the combined optimal power flow (OPF) and Butterfly-particle swarm optimization (Butterfly-PSO or BF-PSO) techniques. The multi-objective function has been formulated on the basis of the various system indices. These indices decide the performance and quality of the system. The proposed method has been implemented on the 33-bus radial system. The validity of the method has been confirmed by comparing the results with already published methods. The results show that the system overall generating cost and the nodal price are more economical. Also, the reduction in losses (active and reactive power loss) and the improvement in overall performance are more effective than the others work which is given in the results.