Multi-objective Operation Optimization Analysis Of Natural Gas Combined Cold Heat And Power System

As the fastest growing distributed energy system in China,Combined Cold Heat and Power(CCHP)has a large proportion in the distributed energy field.Traditional opera-tion optimization models of natural gas CCHP mostly take economic benefits maximiza-tion,energy consumption minimization and pollutant emissions minimization as objec-tive functions and ignore the stability of the system,resulting in certain security risks in the system operation strategies.Therefore,this paper innovatively introduces the genera-tion load ratio maximization which reflects the stability of the system into the objective function,combines with the traditional profit maximization to construct and solve the multi-objective optimization model,which can ensure the stability of the system while maximizing the revenue of system as far as possible.Firstly,this paper expounds the cur-rent situation of power generation and natural gas CCHP in China.With the help of data collection,data query and field investigation,the necessity of constructing CCHP system operation optimization model is clarified on the basis of fully understanding the structure and operation of the CCHP system in the study area.Secondly,based on the historical operation data of the system,the least square method is used to establish the response re-lationship based on "meteorological input-user demand output" to predict the user de-mand;The neural network algorithm is used to simulate and predict the main equipment of the system(internal-combustion engine),which lays a good foundation for the later construction of the optimization model.Finally,the optimization model of system opera-tion mechanism is established based on the multi-objective function of maximizing sys-tem profit and generating load ratio under the main constraints of heat and power demand and system equipment load.January,April and August are selected as the typical months of heating season,transition season and cooling season respectively to analyze the opti-mization results.The operation status and economic benefits of the system under three demand conditions are fully analyzed,and the practicability and feasibility of the optimi-zation model are well demonstrated,which provides a good demonstration for the related researches of other distributed energy systems.