Research On Optimal Operation Of Energy Hub With Power-to-Gas And CCHP Based On Improved Multi-Objective Particle Swarm Optimization Algorithm

Energy hub(EH)is an important model of multi energy system,multi energy systems using energy hub modeling can fully consider the various forms of energy cooperation and complementarity,realize the optimization of various forms of energy.With the popularization of energy storage,distributed new energy sources,combined cooling heating and power(CCHP)and other forms of energy,as well as the gradual maturity of the power-to-gas(P2G)technique,it is very important to fully consider these elements for the promotion of energy hub model,but at present the modeling and optimization methods of such energy hub are not perfect.In order to solve these problem,the following aspects are studied in this paper:Firstly,optimal model of energy hub is basically a high dimensional complex function,in order to solve the high dimension complex single objective and multi-objective optimization problem,this paper designed an adaptive particle swarm optimization algorithm based on relative progress and a multi-objective particle swarm optimization algorithm based on the strategy of selection of global optimal solution based on region and the nearest selected individual optimal solution.The improved particle swarm optimization algorithm is used to simulate the common test functions,and the results are compared with those of the standard particle swarm optimization(PSO)algorithm and other improved particle swarm optimization algorithm.The simulation results verify the effectiveness and feasibility of the improved particle swarm optimization.Secondly,in order to improve the renewable energy utilization and economic benefits of micro grid,and to achieve energy saving and emission reduction,the optimal scheduling model of combined cooling,heating and electric power systems of wind energy,solar energy,natural gas and energy storage cooperative energy supply generation is established.Considering the cost structure of the purchase and sale of electricity and fuel,with the minimum operation cost and environmental cost as the target of comprehensive optimization.The effectiveness of the proposed model and the improved algorithm is verified by a numerical exampIe.The results show that the model has a practical effect on the comprehensive utilization of various energy sources.Finally,based on the above research,a mathematical model of energy hub is constructed,which includes the function of power-to-gas,energy storage,CCHP and electrical energy feedback.Considering the factors such as the rate structure and uncertainty of wind power output,the energy hub model takes the minimum fuel cost of energy hub operation and the minimum interactive energy costs with power grid as the optimization objective to optimize.The economic feasibility of the energy hub model with the function of power-to-gas,energy storage,combined cooling,heating and power and the feedback of the power system,and the complementarity of the lifting system are verified.To further improve the study of energy hub modeling.In this paper,the modeling of CCHP micro grid system and the construction of energy hub model based on the combination of CCHP and gas transfer are studied,and the improved particle swarm optimization algorithm is used to optimize the model.The simulation results show that the energy hub model can digest all renewable energy and achieve peak clipping and valley filling,has an important significance for the actual production and the promotion of energy hub model,as well as made a further exploration of the popularization and application of the power-to-gas technique.