Research And Implementation Of The Data Service Of Electricity Trading In Cloud Environment

With the application and promotion of next-generation information technologies such as smart grids and cloud computing,the data volume of the power system has grown exponentially.Under the background of the new round of electricity market reform,more and more distributed renewable energy is accessed to the distribution network,which brings new demands to the electricity trading.This paper analyzes the needs and characteristics of power trading in the cloud environment,studies the operating principle of power trading and related cloud computing technologies,designs data service solutions for electricity trading in cloud environments,and studies and implements key technologies in electricity trading services.Main wirks are as follows:Firstly,the paper analyzes the characteristics of power transaction data service in cloud environment,designs the data structure of electricity trading data service,deploys data service in cloud environment,proposes a hybrid deployment mode of “private cloud + public cloud”,and distributes distributed regeneration in the analysis architecture.The energy trading process proposes several key technical issues in distributed renewable energy trading.Secondly,for the specific needs of power transaction data services,study the principles and rules of Common Information Model(CIM),and subset extraction and expansion methods;then study the needs of distributed renewable energy trading,extract a subset of CIM,and follow the extended principle of CIM to expand the private model,mainly including distributed generators,power users and extended models of market transactions,to build an effective data model for data services.Furthermore,the data consistency problem in power trading under cloud environment is studied.Firstly,the paper analyzes the consistency of power transaction data in the cloud environment,compares the existing data consistency problem solving methods and insufficient,and proposes the consistency of power transaction data in cloud environment.Further research is needed to propose and optimize the data consistency problem solution based on Raft group.The design principle and implementation flow of the algorithm are elaborated and applied in the distributed renewable energy transaction process.implement the process and perform performance analysis on the optimized solution.Finally,the power transaction data service scheme is designed and implemented.Taking a demonstration project operation data as an example,the distributed renewable energy transaction process is used as a scenario to verify the effectiveness of the scheme and the feasibility of the optimized Raft group data consistency program.This paper studies the power transaction data service plan,transaction information model and power transaction data consistency problem in cloud environment.Under the background of fully liberalizing the user-side distributed energy market and improving the cross-provincial crossregional power trading mechanism,cloud technology and How to further combine power trading has certain reference significance.