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Game theoretical scheduling of modern power systems with large-scale wind power integration

Integration of sustainable energy resources, particularly wind power is imposing significant challenges to the power system operators nowadays due to their stochastic variation and limited predictability. Possible alternative scheduling method is suggested in this paper for providing a more reliable and cost-effective power operation under uncertainties. In this paper, we propose a mixed integer Stackelberg game model to address the generation scheduling problem under uncertainties. Then we give a comprehensive description of the uncertainty set of wind power output. We also develop a practical solution methodology to solve this game based on particle swarm optimization. Computational experiments on the IEEE 39-bus system verify the effectiveness of our game model and solution approach.