Power loss and voltage stability optimization with meta-heuristic algorithms in power system

Power flow, which is one of the most prominent problems in field power system, calculation voltage amplitudes and phase angles each bus losses by using data with known steady state values. Increasing demand connection decentralized energy sources to system at various points make more complicated flow problem. The problem great importance for both electricity generation transmission. Planning new loads that can be connected future existing transmission lines full capacity are based on solution a nonlinear problem, has traditionally been solved numerical methods such as Newton-Raphson Gauss Seidel. However, success classical algorithms decreases depending conditions system. Meta-heuristic optimization techniques search developed recent years show better results obtained solving In this study, Artificial Bee Colony (ABC), Gray Wolf (GWO), Particle Swarm Optimization (PSO) Newton Raphson have applied optimize IEEE-14 test created Matlab software. performance compared considering amplitudes, deviation, angles, times from model