The Stochastic Optimization Dispatch Of Power Systems Considering Renewable Energy And Virtual Power Plant

With the prominent increase of the energy problem, people are paying more and more attention to the development of the clean energy and distributed energy resources. As a result, the problem of the optimization dispatch of power systems containing renewable energy resources has been an issue of much more concern. It is very important for the improvement of the environment and the usage efficiency of the renewable energy resources. This paper applies the new-developed binary glowworm swarm optimization(BGSO) algorithm to the traditional unit commitment. The standard example verifies the effectiveness of this method in comparison with the other algorithms. Furthermore, the wind power is added into the power system and the chance constrained programming is adopted to represent the uncertainty of the wind power. The result shows that it helps to guarantee the power balance better. At last, in order to increase the utilization of the distributed energy resources, the virtual power plant(VPP) is adopted to aggregate them and a double dispatch model is developed, which is composed of the dispatch among the conventional plants and the virtual power plant and the dispatch among the distributed energy resources of the virtual power plant. The result shows that it not only improves the efficiency of the DERS but also adjusts the power demand.