| The access of large-scale renewable energy units improves the economics of grid operation,but renewable energy generation is uncertain,and it is difficult to achieve efficient use of new energy only by dispatching on the power supply side.Participate in peak shaving through reasonable dispatch of energy storage and demand response significant.However,distributed energy has a large number of dispatches,high distribution network costs,difficulty in large-scale management and control,and uncertainty in demand response.Based on this,this paper introduces virtual power plant technology to study the problems of virtual power plant system demand response adjustment and distribution network marginal cost optimization.First,the multi-energy virtual power plant with electric heat is proposed and the power control characteristic model is established.Multi-energy virtual power plant multi-energy cooperative operation strategy based on given power characteristics is proposed.In order to achieve the goal of minimizing the operating cost of multi-energy virtual power plants on the basis of maximum new energy power generation,the multi-energy virtual power plant multi-source cooperative operation model considering demand response is constructed,and the IEEE30 node system is used to simulate and analyze electric hydrogen production with different output power characteristics.Considering the difference in the combination of unit output from demand response,discuss the differences between the multi-energy virtual power plant and the multi-source collaborative operation in different dispatch scenarios to the new energy grid-connected consumption and the virtual power plant operating cost,and verify the proposed multi-energy virtual power plant.Promoting role of power plant coordinated dispatch strategy in grid-connected consumption of renewable energy and economic operation of virtual power plants.Secondly,in order to analyze the uncertainty risk in the peak shaving service of multi-energy virtual power plants,taking the maximization of the operating income of multi-energy virtual power plants as the objective function,the conventional dispatching optimization model of virtual power plants is first established to determine the peak shaving benefits of multi-energy virtual power plants threshold value.Then,the CVaR theory is introduced to describe the uncertainty risk in the peak regulation objective function of the multi energy virtual power plant,and the conditional value-at-risk theory and the confidence coefficient are used to transform the constraints with uncertain variables,and a random multi-energy virtual power plant considering the operation risk is constructed.Scheduling optimization models.Verification through specific examples provides key parameters for virtual power plants to participate in market scheduling,and provides technical support for the ultimate win-win situation among power companies,virtual power plants and users. |
