Research On Energy Optimization Dispatch In Energy Internet

Energy Internet is a kind of energy system which is based on energy and energy complement.In view of the current energy crisis and ecological environment destruction,it is urgent to develop new energy generation technology.There are a number of problems with the present new energy power generation system,such as the uncertainty of wind power,photovoltaic power generation,large-scale distributed energy grid influence on power system stability,renewable energy power generation cost too high.Energy router is the core device of energy Internet physics,its functions mainly include energy management system,energy control,energy scheduling.Traditional energy planning only considers the scheduling of electricity,heat energy and cold energy alone,and analyzes the energy of a certain form.Energy of the Internet as a whole all forms of energy,comprehensive consideration of electricity-heat,electricity and gas-thermal energy installations,such as system,it can improve the absorption rate of renewable energy,improve energy efficiency.In this dissertation,we mainly model the five main forms of power generation system in the energy Internet,and analyze the economic and environmental indicators respectively.Genetic algorithm(GA)is a mathematical tool to solve the maximum value of multi-constraint condition function.In this paper,an improved genetic algorithm(GA)for energy dispatching is proposed.The selection operator,crossover operator and mutation operator are improved Two multimodal functions are calculated to verify the superiority of the improved algorithm in dealing with multi-peak functions.The optimal GA algorithm is used to optimize the scheduling of an actual system with five forms of energy.Finally,the total cost is reduced that verifying the feasibility of energy optimization scheduling.