| Under the new power system,the proportion of distributed renewable energy in the demand side is increasing,which forms a large number of prosumers with the double attribute of source and load.The permeability of flexible resources represented by distributed photovoltaic,electric vehicle and energy storage on the demand side keeps increasing,which not only improves the ability and autonomy of prosumers to participate in demand response scheduling,but also puts forward higher requirements for the scheduling optimization ability and data processing ability on the demand side.Therefore,under the trend of continuous integration of information technology and power system,it is of great theoretical and practical significance to build a new dispatching framework and optimization model by combining the high requirements for dispatching optimization and data processing of distribution network with the characteristics of increasing flexible resources of producers and consumers and stronger independent bidding ability.This thesis focuses on the research of dispatching scheme and optimization model between prosumers and distribution network under edge-cloud collaborative framework.Firstly,the edge-cloud collaborative scheduling framework is constructed by combining the data processing characteristics of edge computing good at processing terminal data and cloud computing good at decision-making with the characteristics of various terminal data of producers and consumers and dispatching decision-making on the side of distribution network.Subsequently,an interactive system based on cooperative game theory is proposed to account for the increase in flexible resources and the increase in consumers’ autonomous bargaining power.The scheduling optimization model of prosumers based on edge service platform and the distribution network optimization model based on cloud management and control platform are introduced as the game strategies respectively.The interactive game between the two sides is realized through the interactive electricity price and a small amount of power information,and the interests of both sides are maximized.In addition,considering the possible loss of data transmission from the terminal,a two-layer monitoring model with the terminal as a node is built to ensure the stability of data transmission.Finally,the validity and rationality of the study design and the optimization model are demonstrated using numerical examples. |
