Research On Trading And Cooperative Scheduling Strategy Of Smart Grid Based On Block-chain

The development and utilization of new energy is the main problem facing energy in the 21 st century.Smart grid enables the power system to achieve two-way interaction and environmentally friendly management goals.Blockchain has the characteristics of decentralization,resource sharing,distributed decision-making,etc.,which can well support the construction of smart grid.At present,centralized transactions and dispatch centers in the power grid have problems of information asymmetry and high implementation costs,which affect the stability and operation efficiency of the power grid.In view of the above problems,this thesis focus on smart grid transactions and collaborative scheduling strategies based on block-chain technology.The specific research work is as follows:(1)In view of the problems of asymmetric information and high processing cost in the centralized transaction and dispatch center of large power grid,a completely decentralized transaction architecture and weak centralized dispatch strategy based on block-chain are proposed.Firstly,the transaction decentralization degree and scheduling decentralization degree are defined.Through the research on the reliability of distributed transaction communication,a block-chain transaction risk control model based on the communication credit consensus mechanism is built.Secondly,under the weak centralized scheduling architecture based on autonomous chain of the substation,safety check is performed,and a temporary central node is set to perform scheduling task.Finally,the evolutionary game with dynamically credibility is used to obtain solution.(2)In view of the high implementation cost of distributed transaction scheduling and the difference in transaction requirements in the micro-grid,which lead to the inability of new energy to be fully absorbed.An intelligent transaction scheduling model for micro-grids that takes into account carbon emission rights certification is proposed.Firstly,the carbon performance function and combined consensus function are designed to complete distributed transactions.Secondly,the scheduling plan is made under the weak centralized scheduling framework based on the public network of the micro-grid,and an evolutionary game algorithm with a joint incentive mechanism is designed to solve it.Finally,through simulation examples,the correlation between reliability,decentralization degree,micro-grid cost and operation efficiency is obtained.(3)In view of the lack of trust between owners and service providers in the charging and discharging transactions of electric vehicles,as well as the problem that a large number of disordered charging and discharging of electric vehicles cause peak to peak.A mutual trust transaction architecture and scheduling strategy based on the electric vehicle alliance chain are proposed.Firstly,the execution process of the transaction mechanism on the electric vehicle chain is analyzed.Secondly,an electric vehicle double-layer optimal scheduling model is built.To solve the new charging peak problem,the blockchain-based electric vehicle travel integrity model is proposed on the outer layer.Simultaneously,consider the load variance to optimize the price pricing strategy,and output the optimized electricity price curve to the inner model.The problem of high cost for the deviation of electricity is solved by the inner layer,using the mobile energy storage characteristics of electric vehicles to achieve self-balance.Finally,the differential evolution evolutionary game combination algorithm with incentive mechanism is used,and the effectiveness is verified by simulation.