Research On Service Adaptation Method For Energy Internet

The Energy Internet(EI),as the core of the third industrial revolution,is an effective way to realize the gradual replacement of fossil fuels by renewable energy,shift the structure of energy consumption toward low carbonization and establish a green and sustainable energy utilization system.However,in the face of the interconnected and dynamic EI environment,it has become a major challenge to achieve service adaptation scheduling to achieve the supply and demand matching management of mixed energy has become a major problem to be solved urgently in this field.In essence,the problem is to ensure the economic,green and reliable operation of the whole network while balancing the load of energy Internet in various periods.In this paper,the service adaptation process in energy Internet is modeled as an intelligent optimization problem,and the improved dragonfly algorithm is adopted to optimize the service adaptation of energy Internet.The specific work is as follows:(1)Proposed the supply-side green service adaptation model in EI environment.Based on the demand of economic benefit and environmental benefit,the multi-objective optimization model of green service adaptation is established,and the dynamic archiving is introduced into the multiobjective dragonfly algorithm to realize Pareto effective service adaptation of energy Internet,so as to realize green service adaptation.(2)Proposed a service quality adaptation model oriented to supply-demand sides and prediction.It overcomes the one-sided consideration of supply-side economic optimization,It overcomes the one-sided consideration of supply-side economic optimization,thereby ignoring the energy quality requirements of the user side.The model integrates economic benefits,environmental benefits and user satisfaction indicators.Considering the active power output of the distributed power source and the instability and intermittency of the load,the broad learning system is introduced to predict the energy data in real time.The prediction data is used to optimize the model to meet the user's demand for service quality and make the most efficient energy service adaptation with the highest green benefit.(3)Set up the Energy Internet service adaptation system.On the basis of the above work,combined with the MVT framework,the application of the Gentelella front-end framework and Mongo database was used to realize the automatic adaptation of energy Internet services.The system has the functions of energy data display,data prediction,service adaptation selection,service adaptation scheme supervision and so on.