OPTIMAL THERMAL GENERATING UNIT COMMITMENT WITH WIND POWER IMPACT: A PSO-IIW PROCEDURE

The wind energy is expected to play a significant role in remedying the many shortcomings in today’s modern energy electricity market. In the other hand, wind power becomes a far bigger issue when its total contribution in the renewable power system increases. An improved Standard Particle Swarm Optimization (SPSO) which called Particle Swarm Optimization with Improved Inertia Wight (PSO-IIW) is proposed to solve the Unit Commitment (UC) problem between thermal generating units with wind impact an electricity market to minimize total cost. To achieved a real system considered with various generator and wind constraints in power systems. To demonstrate the effectiveness and robustness of the proposed algorithm a system with ten thermal and wind units with various condition is simulated. The results and numerical experiments are compared with SPSO, Genetic Algorithm (GA) and ?-iteration to understand the wind generator capacity in production cost analysis and to provide valuable information for both operational and planning problems.