A Day-ahead Dispatching For Wind Power Integrated System Considering Demand Response

The grid penetration of wind power is rising, which brings tremendous difficulties and challenges for the dispatching of electric power system. On the one hand, large-scale wind power integration results in supply and demand imbalance. On the other hand, the backup resources of generation side in the electric power system are deficient. To ensure the economic and efficient operation of power system and improve the utilization of wind power, it is necessary to mobilize more forms of reserve capacity to participate in economic operation of power system which contains large wind farms. Therefore,exploiting and using the demand side resources is becoming a new exploration direction.To solve the above problem that caused by the uncertainty of wind power, the research contents of this thesis are as follows:At first, this thesis analyzes the cause and negative impact of the wind power uncertainty and adopts scenario analysis method to describe the uncertainty of wind power and further introduces the method of generating, reducing and halting of the scenario set.In addition, the connotation and classification and trading mechanism of demand response are introduced, and price-sensitive demand response and incentive-based demand response are mathematically modeled respectively.Secondly, considering the time of use price, dynamic economic dispatching model of wind power system is established. The model uses the TOU price to optimize load curves of next day, in order to reduce the uncertainty and the counter-peaking characteristics of wind power output. This model changes the past dispatching model which only relies on the resources of generation side to integrate wind farm into power grid. It is a new model which uses the resources of generation side and demand side coordinately to optimize the integration.At last, considering the interests of supply side and demand side, TOU tariff and the scheduled wind power output are regarded as optimization variables and TOU is combined with the optimal dispatching of power system to achieve the lowest cost. The DR has dual functions which provides virtual output and virtual backup. Based on the possibility ofscenario, a two-stage stochastic programming is applied to the model. The dispatching model with supply and demand side of wind power system and TOU price is formulated.The results show that the integration of demand response makes the power system more economical and efficient and reduces the uncertainty of wind power and improves the utilization of wind power.