Research On Optimal Scheduling Of Cogeneration System Based On Compressed Air Energy Storage

In order to solve the energy crisis and environmental pollution,increasing the utilization rate of renewable energy and reducing the consumption of non-renewable energy have become urgent problems.However,the prediction and control of renewable energy are not controllable,leading to the development of renewable energy generation grid is facing great challenges.In addition,with the continuous development of social economy,the consumption of electric energy gradually increases,the shortage of electric power appears,and the peak and valley of electric load appear serious differences.Electric energy storage technology can store the excess electric energy generated by renewable energy during off-peak hours and provide electric energy to users during peak hours.The combined cooling heating and power(CCHP)system can improve the energy utilization rate of the system,and solve the problem of large gap between peak and valley of load curve by using the relationship between electric energy,heat energy and cold energy conversion.Among all kinds of traditional energy storage technologies,advanced adiabatic compressed air energy storage(AA-CAES)is one of the more ideal energy storage technologies with high reliability,low cost and weak environmental impact.At the same time,as a typical example of integrated energy system,CCHP system can improve the comprehensive energy utilization rate of the system.In this paper,AA-CAES is adopted as the energy storage device of CCHP system,and the photothermal module and refrigeration module are added to the AA-CAES system to further improve the utilization rate of energy,and a CCHP system based on AA-CAES is proposed.Through simulation analysis,the indexes of economy,exergic efficiency and time-sharing exergic efficiency during the operation of the system were studied,which verified the rationality of the theory proposed in this paper.The main research contents of this paper are as follows:(1)In order to improve the comprehensive energy utilization of CCHP system,this paper adds photothermal module and refrigeration module to AA-CAES system,and establishes mathematical model.It analyzed the complementary characteristics of AA-CAES system and CCHP system after the addition of photothermal and refrigeration modules,and analyzed and verified the model in three scenarios by adopting time-sharing economic exergic efficiency.The results showed that the AA-CAES system with photothermal and refrigeration modules as the system energy storage device could achieve higher energy utilization rate in the CCHP system.(2)To solve the model in the process,the more suitable for multi-parameter model group optimization algorithm to solve the model,and the spiral search mechanism of easily plunged into local optimum and some shortcomings to improve the optimization precision,planet search algorithm,the algorithm is validated by test functions in multi-parameter optimization problem solving can get higher precision when the global optimal point;The optimization scheduling of CCHP system with AA-CAES system is studied.The results show that the planet search algorithm has better optimization characteristics than other algorithms in CCHP system optimization scheduling.(3)Combined with national conditions,on the basis of economic exergy efficiency,the influence of the combination of time-sharing electricity price,to establish a time-sharing economic exergy efficiency evaluation index,establishing the CCHP system model based on AA-CAES,fire with exergy efficiency,economic efficiency and economic exergy efficiency of simulation verification,time-sharing results show that the time-sharing economic exergy efficiency can better reflect the system energy utilization.