Research On Distributed Energy Trading Optimization In Smart Grid

With the increasing shortage of global fossil energy,clean and renewable energy may gradually replace traditional energy to participate in power generation and transmission.However,the one-way centralized power supply of traditional power grid cannot well accommodate renewable energy,while the smart grid has a distributed feature,and can use a variety of renewable energy flexibly to better solve the networking problem of distributed energy.Making full use of renewable energy has attracted wide attention from scholars at home and abroad.As an important part of smart grid,microgrid is more and more used in the field of distributed energy in recent years.Its role is to coordinate the originally distributed energy to ensure the safety and reliability of the grid.Secondly,it can access local renewable energy smoothly,and achieve grid-connected to achieve transaction linkage of local energy.And to achieve user demand response scheduling.Based on the above key technologies,this thesis conducts research on energy trading and demand response dispatching in microgrid field:1)In the energy trading of microgrid,In this paper,a distributed energy trading mechanism based on virtual compensation in the main grid is proposed for multi-microgrid users in order to reduce the load pressure of the main grid and improve social welfare.The energy coordinator is introduced to lead the trading collect the energy that can be provided by the seller,formulate the priority according to the purchase willingness of each microgrid user,distribute the energy according to the priority,and make each user fully participate in the trading by means of communication and negotiation.Non-cooperative game is adopted between buyers,the optimal purchase strategy is determined by the optimal strategy algorithm,and it is proved that there is a Nash equilibrium point in the game,and the Nash equilibrium solution is given.Through specific numerical simulation and comparison,it shows the superiority,privacy protection and high yield of the trading mechanism proposed in this thesis.2)In the aspect of demand response scheduling in microgrid,this thesis presents a demand response scheduling mechanism in microgrid.Considering all time slots in a day,user transfer cost is introduced,and the transfer cost is coupled with each transaction time slot to optimize the whole.This thesis also considers the energy suppliers as market participants,so that these local suppliers can participate in the pricing and negotiation process to optimize dispatch,which will maximize the overall social welfare of the microgrid in the next trading day.The specific numerical simulation proves that the proposed algorithm can improve the overall social welfare and bring greater benefits to users.