Integrated Peer-to-peer Energy Trading And Operation For Active Distribution Network With Distributed Renewables

With the increasing concern of worldwild energy shortage and environmental.In recent years,distributed renewable energy has developed rapidly.The development of these demandside resources has brought a new bottom-up transformation to the power grid,making the power system structure flatten.As a decentralized distributed energy trading method,P2 P energy trading is an effective way to promote the development of distributed generation.It is also a critical way to achieve the low-carbon transformation of energy system.However,the research and engineering practice of P2 P energy trading under active distribution networks is still in its infancy.There are still many key issues that need to be solved:1)The delivery of power commodities is subject to strict physical network constraints.P2 P transaction model should not only consider the differentiated interests of market entities,but also meet the operation requirements of distribution networks.2)In the traditional electricity market,renewable energy participates in transactions based on its predicted power generation.And the uncertainty of renewable energy generation is assigned to reserve market or imbalance deviation penalties,which requires the power system to have sufficient reserve capacity and system flexibility.Moreover,renewable energy generations face high deviation assessment costs,hence their market competitiveness is limited.3)Compared with traditional power conusmers,prosumers in active distribution networks have higher market participation initiative.The active decision-making process of P2 P market participants is simplified in most of the existing P2 P energy trading models.The consideration of the risks of uncertainty faced by individual participants is insufficient in P2 P market transactions.4)The penetration of distributed renewable energy generation makes the distribution network face the dilemma of insufficient flexible resources.Considering the existing infrastructure and high installation costs,the development of user-side energy storage is still facing obstacles.It is necessary to use the differences in consumer energy demand to realize the complementary sharing of energy storage resources and explore more economical energy storage application scenarios.Therefore,this paper focuses on the key issues of P2 P transactions under active distribution network in terms of integrated modeling,uncertainty quantification and flexibility support.Starting from the integrated modeling of P2 P energy trading and operation optimization under the constraints of distribution network,the P2 P energy trading method considering the uncertainty of renewable energy generation and the P2 P market trading strategy considering the randomness of user autonomous decision-making behavior are studied.Finally,in order to deal with the uncertainty in the supply and demand sides of active distribution networks and allocate the flexible resources effectively,a P2 P energy trading method with the participation of shared energy storage is studied.It provides reference for the decentralized P2 P transactions under active distribution grids.The main innovations are summarized as follows:(1)This dissertation proposes an integrated transaction and operation model for P2 P energy trading under distribution network.An incentive-compatible P2 P energy transaction and operation model is established based on the Vickrey Clarke-Groves(VCG)mechanism.A zero-sum P2 P settlement method is designed to obtain symmetric P2 P payments.A distributed algorithm based on sharing form alternating direction method of multipliers is developed to derive transaction solutions of prosumers binding the power injection limits of connected buses.The proposed integrated model can effectively alleviate the voltage over-limit problem caused by distributed renewable energy access,and significantly reduce the electricity cost of market participants.(2)This dissertation proposes a P2 P energy trading method using prediction intervals of renewable energy generation.A receding horizon P2 P energy trading framework is constructed to alleviate the impact of uncertain renewable energy generation on P2 P energy trading.A P2 P interval-matching algorithm is proposed by integrating demand-side flexibility resources,which assigns the uncertainty risk to the counterparts of renewable energy generation in the P2 P market.A risk aversion P2 P energy management model is established based on the cooperative game model of Nash bargaining,which is solved in distributed.The proposed interval-matching P2 P transaction model can fully explore the flexibility of demand-side resources and effectively reduce the impact of the volatility of renewable energy generations on the upsteam grid.(3)This dissertation proposes an adaptive risk-perceived P2 P energy bidding strategy under active distribution network.During the pre-trade bidding process,the uncertainty of the actual power delivery in the distribution network is considered in a target transaction amount estimation model for prosumers.A risk-perceived bidding strategy is proposed based on the adaptive aggressive strategy and the conditional value at risk based return-risk utility function is used.A P2 P matching process is designed to facilitate local P2 P transactions.The proposed adaptive bidding strategy can effectively reduce the cost of electricity purchase,significantly improve the market transaction rate,and effectively guide the trading behavior of P2 P market participants to alleviate voltage violation problems.(4)This dissertation proposes a P2 P energy trading model for shared energy storage with voltage regulation constraints of distribution network.P2 P transaction models are formulated for public shared energy storage mode and individual home energy storage mode,respectively.The voltage violation penalty soft constraint is taken into account in the objective function of the P2 P energy trading problem to ensure the voltage within the allowable range.The P2 P transaction model based on price negotiation algorithm is used to formulate the process of market participants selecting the optimal transactions.The proposed model can significantly reduce the energy cost of prosumers and improve the operation flexibility of distribution network.The differences between individual home energy storage and public shared energy storage is explored in terms of economy,load fluctuation smoothing effect and voltage regulation ability.