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Optimal Operation Management of Distribution System Based on Electro-Thermal Game

With the deteriorate of climate environment, the development of clean energy has become one of the most important ways to alleviate the bad situation. Wind power is the most mature renewable energy, how to promote its effective consumption has been widely concerned. Especially in winter, the CHP based electro-thermal coupling system is limited by the heating demand, which occupies a lot of power generation capacity, leading to the problem of wind abandonment becoming more serious. Therefore, based on the practical problems and from the perspective of distribution operator, a two-stage stochastic optimization model is constructed by considering electro-thermal coupling energy substitution to promote the efficient consumption of renewable energy. Firstly, according to the theory of decision-dependent uncertainty, the load demand model is proposed, and the uncertainty of wind power is described based on Weibull distribution. Then, in the day-ahead stage, prescheduling and pricing strategy are optimized based on the predicted value. And in the real-time stage, the system power balance is achieved according to the actual load value and renewable energy output. The simulation result shows that the proposed model can motivate the demand side to participate in energy transformation, increase the utilization of renewable energy, and improve distribution operator's income.