Aggregation Algorithm For Adjustable Power Domain Of Virtual Power Plant Based On Cost-Benefit Analysis

With the strategic goal of "carbon reaching peak,carbon neutralization"proposed in our country,the distributed power supply,energy storage and flexible load are increasing in the distribution network.Although these distributed energy sources provide green electricity or extra flexibility,they also bring many problems to the direct management of power system due to the characteristics of large quantity,small capacity and wide distribution.Through advanced technologies of metering,communication and control,virtual power plant can integrate them together.Then,virtual power plant can participate in the dispatch and operation of power system externally,and realize the coordination and control of various resources internally.However,the research on virtual power plant is still in its infancy,and its functional characteristic is usually limited to pure technical or commercial type.The lack of balance between flexibility and economy makes it unable to realize the safe and stable operation for distribution network and the pursuit of interests for distributed energy at the same time.Therefore,it is necessary to study the aggregate external characteristics of virtual power plant that combine technology and commerce.Based on this,this paper carries out the research on aggregation algorithm for adjustable power domain of virtual power plant based on cost-benefit analysis.Firstly,the basic framework and operation mechanism of virtual power plant are concluded,and the unified representation of statespace for heterogeneous distributed energy is given.Based on Minkowski sum,the approximate optimal aggregation method of adjustable power domain for virtual power plant is proposed.Secondly,the economic influences from market price,dispatching instruction and power supply on the optimal aggregation method mentioned above are analyzed,and the uncertainty risk assessment methods are selected according to the available historical data and forecast information.Finally,for realizing the coordination among flexibility,reliability and economy,the two-layer dynamic optimal aggregation model for virtual power plant is established,which takes into account multiple uncertainties.This model is solved iteratively by piecewise linearization method,constrained cost variable method,strong duality theory and column and constraint generation algorithm.In this paper,the distributed energy cluster obtained by Monte Carlo method is simulated and analyzed to verify the effectiveness of the proposed optimal aggregation method for virtual power plant.