Study On Modeling And Dynamic Simulation Of Distributed Energy System

In the next few decades,my country’s electricity demand will maintain continuous growth,so it is necessary to find a reliable,economical and environmentally sustainable energy supply model that adapts to this growth.Distributed energy system is a new type of energy supply mode,which changes energy supply from centralized to decentralized,improves energy utilization efficiency,and reduces energy consumption.The distributed energy system is an effective supplement to the centralized energy system,and its application market is huge and growing,which can provide important support for China’s energy structure transformation and sustainable development.Therefore,based on the existing natural gas distributed energy supply system,this paper will conduct hybrid modeling of the thermal system and dynamic simulation under variable working conditions to obtain relevant operating data;and use big data technology to identify characteristic parameters,and apply the characteristic parameters to In the process of system optimization simulation,it is of great significance for the in-depth understanding and analysis of the system,and the identification of the characteristic parameters of the distributed energy system can also provide basic data and support for system optimization,and promote the development and application of distributed energy systems.The details include the following three points.(1)Modular modeling for existing natural gas distributed energy stationsThe simulation modeling system is built to analyze the main systems of natural gas distributed energy stations,such as gas turbine systems,waste heat boiler systems,steam turbine systems,etc.,i.e.,from conservation of mass,conservation of energy,conservation of momentum and combined with the analysis of physical and mathematical expressions of compressors,pumps,pipelines,etc.(2)Systematic simulation for the constructed modelThe simulation process combines modeling simulation software to input inlet pressure,temperature,flow rate and other parameters into the model to obtain the model outlet data,and according to the characteristics of each module for multiple tests,and then obtain multiple sets of outlet cross-section data,according to the heat engine regulations to adjust the relevant parameters to obtain data under different load conditions,and through the analysis and simulation of the model parameters of natural gas distributed energy system,we obtained the simulation error of each model respectively The errors of the model are 1.8%-2.4%for the combustion engine,1.5%2.6%for the waste heat boiler,and 1.4%-1.5%for the turbine,which verifies the accuracy of the model and provides data with wide coverage and comprehensive sample distribution for the subsequent algorithm correction.(3)Least squares method for feature parameter identification and system optimizationIn order to improve the energy utilization efficiency of distributed energy system,this paper adopts Fortran programming tool and the simulation results of pump pipeline model to identify the characteristic parameters.By using the least squares method to identify the characteristic parameters,the simulation error of combustion engine power is reduced to 0.8%,the simulation error of heat consumption rate is reduced to 0.4%,the simulation error of exhaust steam temperature is reduced to 0.6%,the simulation error of exhaust steam flow is reduced to 0.6%,and the simulation error of thermal efficiency is reduced to 0.5%,which successfully improves the simulation accuracy of each subsystem.