School of Automation,Beijing Information Science and Technology University
The implementation of carbon emission reduction policy, the increase of wind power integration capacity, the emergence of new energy storage technology, and the reform of large user trading mode, all bring new challenges to the power system dispatching. Therefore, an environmental economic dispatch (EED) model of the wind-thermal-storage combined system with direct power purchase of large consumers is proposed in this paper. A multi-objective optimization problem including the wind power output, carbon emissions trading, energy storage system and direct power purchase of large consumers is considered comprehensively in the model. Meanwhile, the influences of energy storage systems and large consumers on the environmental and economic benefits of wind-thermal combined system scheduling are analyzed. A chaotic adaptive glowworm swarm optimization (GSO) algorithm is presented to solve the problem of oscillation in the optimization of traditional GSO algorithm. The IEEE-39 system is used for the simulation analysis. The results show that the proposed EED model is accurate and the chaos adaptive glowworm swarm optimization algorithm is effective in solving this problem.