Abstract

This study presents an effective approach for solving the optimal power flow problem in power system. A novel algorithm Sine-Cosine Algorithm (SCA) which is based on population is being hybridized it with the arithmetic crossover operation, this proposed algorithm named as Hybrid Sine-Cosine Algorithm (HSCA) aims to reduce the computation time and make it more effective in achieving the global solution with the avoidance of local optima. Furthermore, for controlling and improving the power system parameters a novel FACTS Controller namely, Interline power flow controller (IPFC) is placed optimally in power system. For incorporating IPFC in Newton-Raphson load flow, it is mathematically modeled using current injection modeling (CIM). The performance of proposed algorithm is tested on some benchmark test functions to prove its superiority through convergence characteristics. The capability and performance of the proposed idea is implemented on IEEE-30 bus system for solving Optimal Power Flow problems. Generation fuel cost, emission and transmission losses are considered as single objectives of optimal power flow problem are being solved. The obtained results are compared with the existing literature to justify the supremacy and potential of the proposed idea.

Key words: Current Injection modeling (CIM); Emission; Generation fuel cost; Hybrid Sine-Cosine Algorithm (HSCA); Interline power flow controller ; Optimal Power Flow (OPF); Power Injection modeling (PIM); Transmission losses.