Research On P2P Trading Strategy For Distributed Photovoltaic Consumption

Since the promotion of energiewende,distributed photovoltaic power generation has developed rapidly.In order to improve the consumption capacity of distributed photovoltaics,this paper proposes to implement P2 P electricity market on the side of the medium and low voltage distribution network.This trading model encourages multi-directional transactions within the local geographic area.The introduction of such new markets can stimulate the use of flexible resources,maximize profits and promote local energy balance.In order to guide the prosumers with flexible resources on how to participate in P2 P market,this paper has carried out research on trading strategies under different market mechanisms.Under the background that the country encourages the marketization of distributed power generation,this research has certain theoretical and practical significance.Firstly,this paper is based on a centralized market structure to realize the electricity transaction process between prosumers under local network.A power trading optimization model including distributed photovoltaic and flexible resources is proposed.With the goal of promoting the self-balance of local energy,the optimal operation decision of each individual is solved.And according to the power generation and consumption of each participant obtained in the optimization process,three typical pricing methods,SDR,MMR,and BS,are used to allocate benefits within the market.The results show that P2 P power trading can effectively improve the hosting capacity of distributed photovoltaic,and only when the pricing mechanism meets certain conditions can local users be encouraged to participate in the market,to ensure the long-term and stable operation of the market.Secondly,in view of the problems of concentrated power,damage to user privacy and lack of competition in the centralized market structure,this paper adopts a decentralized market structure to realize autonomous transactions among local consumers.In view of the intuitive transaction process and good distribution efficiency of continuous double auction,CDA theory is used to realize the P2 P electricity trading process.Since the output of flexible resources is closely related to the power supply,the power of the load and the market state,it is difficult for participants to decide the electricity bidding quantity.Therefore,facing the bidding decisionmaking problem of prosumers with the participation of energy storage,a P2 P market bidding strategy based on model predictive control is proposed.The market price is estimated,which is used as the input data of the rolling optimization link to calculate the power of energy storage,and the actual output of energy storage is corrected according to the actual transaction results,and the electricity bidding quantity of the market subject is finally obtained.The zerointelligence-plus strategy with learning ability is adopted as the bidding price method.It simplifies the complicated bidding process through the independent links of quantity and price,and realizes the independent decision-making of each subject.Finally,through a simulation analysis of the actual network supplied by 66 k V substation in a rural area in Northeast China,the results show that the P2 P market can motivate users to mobilize flexible resources,absorb the reverse power generated by photovoltaic power generation,and solve the problems of overvoltage and line overload.It can avoid network reconstruction and increase the hosting capacity of distributed photovoltaics.This not only increases the penetration rate of renewable energy,but also points out a new direction for producers to use photovoltaic power generation in the context of the gradual cancellation of distributed photovoltaic subsidies.Compared with the centralized market structure,continuous double auction-based market mechanism can promote the participants to optimize their own behavior,improve the market vitality,and create a competitive and fair market environment.Model predictive control provides an effective solution for prosumers with flexible resources to participate in the CDA market,and further increase the photovoltaic hosting capacity.