Reconfiguration with DG location and capacity optimization using crossover mutation based Harris Hawk Optimization algorithm (CMBHHO)

Abstract

In this paper, a crossover mutation based Harris Hawk Optimization (CMBHHO) technique has been proposed for the reconfiguration of feeder network by optimal location and sizing of distribution generator (DG) in power system. The novelty of the proposed method is the combined performance of both Harris Hawk Optimization (HHO) and crossover mutation operator. The mentioned technique is the optimization technique, which is used for optimizing the optimum location and capacity of the DG for radial distribution network. The CMBHHO algorithm requires radial distribution network voltage, real and reactive power for determining the optimum location and capacity of the DG. Here, the CMBHHO input parameters are classified into sub parameters and allowed as crossover mutation operator process. The crossover, mutation operator synthesis the problem and develops the sub solution with the help of sub parameters. The CMBHHO is applied for identifying the optimum location and capacity of the DG. Then the proposed technique is implemented in the MATLAB/Simulink platform and the effectiveness is analyzed by comparing it with various existing techniques such as GSA, LSA,ALO, HHO, HSA, GA, RGA, FWA, GA*, PSO, PSO*, TLBO and TLBO*. In addition, the percentage power loss reduction and voltage deviation are also analyzed. The obtained value for the percentage power loss reduced using proposed technique under case 1 is 70.87%, case 2 is 88.70% and case 3 is 92.81%. The obtained value for the voltage deviation index reduced using proposed technique under case 1 is 0.02062, case 2 is 0.00051 and case 3 is 0.02062.