OPTIMIZATION OF THE FUEL COST, REAL AND REACTIVE POWER LOSS IN IEEE-57 BUS SYSTEMS USING PSO

Abstract

This paper presents an Improved Particle Swarm Optimization with TimeVarying Acceleration Coefficient (IPSO-TVAC) based algorithm forsolving OPF problem of a power system. Minimization1of total fuel cost, real & reactive power losses1in an electric power system under with and without line outages is considered. The effectiveness of the proposed approachhas been tested in IEEE-57 bus system. The proposed IPSO-TVAC method is applied to1optimize the objective functions1such as fuel cost, real and reactive power1loss under without and with line outage cases in IEEE-57 bus systems. Power flowcalculation is performed by Newton-Rapshon method1using MATPOWER1software package1version 4.0b4, and it is developed by Zimerman R D. In MATPOWER, procedure used to1explain OPF problem is1interior point1method. The proposed method is applied for 20 independent runs in IEEE- 57 bus system and based on the objective function, the optimal values are evaluated. The following are parameter settings of proposed algorithm. Particle size: 165, No. of generation: 200 for IEEE-57 bus system, Inertia weight: 0.9 to 0.4, c_1i, c_2f =2.5, c_1f, c_2i=0.2, C_r = 0.6.