Application of Grade Algorithm Based Approach along with PV Analysis for Enhancement of Power System Performance

Abstract

How to cite this paper: Kannan, G., Subramaniam, D.P. and Manokar, S. (2016) Application of Grade Algorithm Based Ap-proach along with PV Analysis for Enhancement of Power System Performance. Circuits and Systems, 7, 3354-3370. Abstract This paper presents an application of GRADE Algorithm based approach along with PV analysis to solve multi objective optimization problem of minimizing real power losses, improving the voltage profile and hence enhancing the performance of power system. GRADE Algorithm is a hybrid tech-nique combining genetic and differential evolution algorithms. Control variables considered are Generator bus voltages, MVAR at capacitor banks, transformer tap settings and reactive power gen-eration at generator buses. The optimal values of the control variables are obtained by solving the multi objective optimization problem using GRADE Algorithm programmed using M coding in MATLAB platform. With the optimal setting for the control variables, Newton Raphson based power flow is performed for two test systems, viz, IEEE 30 bus system and IEEE 57 bus system for three loading conditions. Minimization of Real power loss and improvement of voltage profile obtained are compared with the results obtained using firefly and particle swarm optimization (PSO) tech-niques. Improvement of Loadability margin is established through PV curve plotted using contin-uation power flow with the real power load at the most affected bus as the bifurcation parameter. The simulated output shows improved results when compared to that of firefly and PSO techniques, in term of convergence time, reduction of real power loss, improvement of voltage profile and en-hancement of loadability margin.