Application of PSO Algorithm in Joint Optimization of Wind Power and Thermal Power

Abstract

Wind power is an important clean energy which is of great significance to human beings. However, due to the randomness and volatility of wind power, its integration will bring many uncertainties to the power system. If the wind power planning can not be coordinated, the wind power may not fully be sent out and absorbed. A joint optimization model of wind power and thermal power can stabilize wind power fluctuations and improve the reliability of grid connected with wind power. Particle swarm optimization (PSO) algorithm is used to optimize the transmission line capacity and pursuit of the greatest social benefits. This paper use the MATLAB software to carry on the simulation. The particle swarm optimization algorithm is used to solve the optimization model of combination of wind power and thermal power. The effectiveness of the proposed algorithm is verified by comparing the social benefits of different transmission lines.