| The increase in the penetration rate of distributed energy has promoted changes in the production and consumption of electricity on the user side of the distribution network,and the continuous opening of the electricity market environment.Producers and consumers integrate "generation-load-storage" resources to provide important support for the clean and efficient use of energy.At the same time,their electric energy presents two-way flow characteristics.With the support of advanced communication technology,they will participate in market competition as a new type of power body.As a result,it has received widespread attention.In order to optimize the operating economy of the system and promote the balance of energy consumption nearby,this paper studies the energy management method of the group of producers and consumers from two aspects of comprehensive demand response and power sharing.The main tasks are as follows:Aiming at the problem of energy management for the group of integrated energy producers and consumers,a distributed operation framework focusing on electric energy sharing is proposed,and the interaction mode of electric energy and information is clarified.First of all,at the individual level of the producer and consumer,the research objects are flexible and adjustable resources such as CCHP,temperature control load,electric vehicles,etc.,to analyze the characteristics of energy production and use and carry out quantitative modeling.On the basis of ensuring the energy demand of users,design adjustment methods such as electricity price guidance and multi-energy complementation to coordinate the power distribution of resources.Furthermore,from the perspective of transactive energy management,the power sharing supply and demand balance of the group of producers and consumers is studied,based on which the alternating direction multiplier method is used to solve the group of producers and consumers in a distributed manner.This method decouples the optimization problem into the sub-problem of the producer and consumer,effectively reduces the computational pressure of the transactive energy agent,and ensures the security of user information.At the same time,the alternate solution method of economic optimization problem can be explained as the process of market clearing,and thus the shared electric power price can be obtained.Aiming at the multi-time scale scheduling problem of the group of producers and consumers,the day-to-day collaborative optimization strategy is studied.In the day-ahead stage,comprehensively consider the operating costs of CCHP system fuel costs and maintenance costs,grid purchase and sale costs,electric vehicle battery loss costs,and shared power transmission costs,and determine dispatch strategies based on economic benefits.In the intraday stage,a rolling optimization method based on model predictive control is proposed.Considering the prediction errors of multiple time scales,a multi-objective optimization model is established to smooth out power fluctuations caused by random factors and prediction errors.At the same time,it considers sharing power deviations to make full use of production and consumption.Resource flexibility.Multiple targets are combined by the weighted minimal module ideal point method to solve the problem of inconsistent dimensions,and then the weight coefficient is determined by the analytic hierarchy process.Finally,the feasibility of the distributed scheduling strategy supported by transactive energy is verified through simulation examples,and the effectiveness of energy sharing is analyzed in terms of economic benefits and reduction of random errors,so as to leverage the flexibilities available from these prosumers in the distribution network. |
