Power Flow Optimization Using Seeker Optimization Algorithm and Pso

The objective of an Optimal Power Flow (OPF) algorithm is to find steady state operation point which minimizes generation cost, loss etc. or maximizes social welfare, loadability etc. while maintaining an acceptable system performance in terms of limits on generators’ real and reactive powers, line flow limits, output of various compensating devices etc. This paper aims to find a solution for the Optimal Power Flow (OPF) problem with security constraints by the seeker optimization algorithm (SOA). The major objective is to minimize the overall operating cost and real power losses while satisfying the power flow equations and system security. The SOA is based on the concept of simulating the act of human searching, where the search direction is based on the empirical gradient by evaluating the response to the position changes. To demonstrate its robustness, the proposed algorithm was tested on IEEE 30 Bus System and the proposed approach results were simulated using MATLAB. The performance of this algorithm is compared with the performance of PSO. Key-Words: global optimization, power system, seeker optimization algorithm