Economic dispatch containing wind power and electric vehicle battery swap station

With the in-depth development of smart grid, renewable energy, such as wind power, will be an important source of electrical energy, the proportion of renewable resources increase rapidly. Serious problems emerged with large-scale wind power integrating to power grid. The integration of wind generation imports variability and uncertainty to system operation and control. Control center must consider this variability and uncertainty to dispatch economically. Fortunately, there will be many electric vehicles in smart grid. With the popularization of electric vehicles, charging stations and electric vehicle battery swap stations will be increasing rapidly. Battery swap stations can be regarded as energy storage power stations, which can be used to stabilize the wind power output variability and uncertainty. In this paper, new economic dispatch model considering wind power and electric vehicle battery swap stations is proposed, the Particle Swarm Optimization (PSO) method and prior priority way are adopted to solve this model. The algorithm based on MATLAB 6.5 is developed. The correctness and effectiveness of the model and algorithm are verified using test system.