Research On Refined Evaluation And Scheduling Optimization Of Virtual Power Plant Resources

With the continuous development of society and economy,people’s living standards have improved,and the degree of industrialization has deepened,resulting in environmental degradation.In order to alleviate the impact of environmental changes on the living environment of human beings,countries around the world have begun to pay attention to the issue of carbon emissions,by vigorously developing renewable energy sources to replace fossil energy and reduce pollutant emissions.However,renewable energy represented by photovoltaics and wind power has the characteristics of randomness and volatility,and its large number of access to the traditional power grid has brought challenges to the traditional power grid.The operation of the power system requires a lot of flexible resources to adjust the real-time power balance of the power grid.As a technical means of aggregating distributed energy and controllable loads,virtual power plants can effectively support the operation and regulation of power grids and power transactions.It is a promising response method.Among them,effective evaluation and aggregation of virtual power plant resources have important theoretical and practical significance for the promotion and application of virtual power plants.This thesis focuses on the evaluation,aggregation and optimization of virtual power plant resources.The main content and work are as follows:(1)The virtual power plant resources are classified,and on this basis,the characteristics of flexible load,distributed generation resources and source load are analyzed respectively.The basic concepts of virtual power plant and virtual power plant resources are introduced,the virtual power plant resources are classified,the commonly used load characteristic index system is analyzed,and the load characteristics of typical household appliances are studied.The characteristics of distributed photovoltaic,distributed wind power and gas turbines are analyzed.Finally,the distributed energy storage are classified,the typical characteristics of various types of distributed energy storage are summarized,and the response characteristics of electric vehicles into the grid are studied.(2)Aiming at the problem of refined evaluation of the resource scheduling potential of virtual power plants,the refined evaluation models of flexible load demand response potential and distributed power generation resource and source load scheduling potential are respectively given.Firstly,three types of evaluation indicators are established,including flexible load,distributed power generation resources,and source load to form a refined evaluation index system for the resource scheduling potential of virtual power plants.Secondly,an evaluation model of the demand response potential of flexible load is given,and the validity of the demand response potential evaluation model is verified through a calculation example.Then,considering the distributed energy storage in the source load,based on the analytic hierarchy process(AHP)-entropy weight method,the weight of each index of wind and solar storage is determined,and a refined evaluation model of the dispatching potential of wind and solar storage is established.Finally,the role of this evaluation model in determining the scheduling priority of wind and solar storage under peak and frequency modulation scenarios is demonstrated.(3)Aiming at the new peak-valley difference caused by virtual power plants participating in peak shaving and valley filling,a dual-incentive-based virtual power plant optimization scheduling method with electric vehicles is proposed.Firstly,the operating mode of virtual power plants with electric vehicles is introduced,and the dual incentive policies of time-of-use electricity prices and carbon allowances are expounded.Then,a virtual power plant optimization scheduling model with electric vehicles based on a dual incentive collaborative game is proposed.The virtual power plant side is the main body and the electric vehicle side is the slave to establish a master-slave game model.Finally,the superiority of the proposed method is verified by experiments.The work in this thesis can provide a reliable means for resource evaluation and selection of virtual power plants in different scenarios of peak shaving and frequency modulation,and provide methods for the related practice of orderly accessing electric vehicles into the network.