The Research On Risk Transmission Model And Information Systems Of Smartgrid Intersts Chain

Smart grid has became an important research area in the world in recent years. It will become the future development direction of electric power industry. The construction of the smart grid is a concentration of investment process, in which government and social capital will quickly participat. It will produce the enormous economicbenefits. The flow of economic benefits will have a profound impact on the main market. The power market interest chain is a complex relationship system. The impact of risk transfer path is also very complex. In the smart grid environment, the risk research on electricity market interest chain has practical significance.In this paper, the project risk element transmission theory is introduced into smart grid interests chain risk research from the dynamic risk perspective. First of all, the research on the theoretical foundation innovation, establish the power market interest chain model, put forward the interests chain concept system, analysis to the risk identification of smart grid on the downstream of each participation body. Through the data analysis of mining risk factors, the paper builds risk element system. Based on innovation risk element transmission theory, the paper puts forward the risk elementdrive theory. In the smart grid environment, electric power market interests chain risk element transmission model is presented.In this paper, risk element transmission model of market price driven interests chain is established. Based on risk element transmission theory, the risk theory and empirical phenomenon are reachered using system dynamics theory. The policy interests of price Risk element effect are analysised.In this paper, the risk element transmission model of generation side benefit driving interests chain is established. There are many risks in smart grid investments and renewable energy trading. The energy investment decision risk is optimized by using VCAR theory. Various energy network risk element chain interests distribution is optimized by using harmony search algorithm. The smart power grid construction policy is analysised by the result analysising.In this paper, the risk element transmission model of distribution network security driving interests chain is established. In this paper, the time slice observation matrix with missing data as input variable of structure dynamic bayesian network, is dynamically analyzed. The objectives of power distribution operational risk prediction are achieved. This transmission path with safety risk element transmission is clearly presented.In this paper, the risk element transmission model of environmental protection policy driving interests chain is established.Starting from the carbon emissions trade policy effect, the research includes carbon emissions index volatility, trading mechanism, the carbon emissions of power market competition environment,based on factors such as the carbon emissions trading mechanism, effects of transport phenomena modeling analysis. In view of the market behavior factors, the risk element transmission simulation and prediction experiment set many different market conditions, including:the competitive market, the game behavior of market. Including the optimal economic index,low carbon green optimum index,two optimization objective functions are established. The double primary goal programming problem was solved by particle swarm algorithm. Through the analysis of the simulation results, the risk element interests chain transfer impact is presented under different market conditions.In order to ensure the model application of the smart grid interests chain risk management, the paper selected decesion support system as the specific research object of information system, so a smart grid interests chain risk element transmission simulation information system based on data warehouse was designed.