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Dynamic Modeling Of Compressed Air Energy Storage System In Distributed Microgrid

Posted on:2019-07-04Degree:MasterType:Thesis
Country:ChinaCandidate:H P HuFull Text:PDF
GTID:2432330566973491Subject:Electrical engineering
Abstract/Summary:PDF Full Text Request
The coexistence of multi-energy complementary distributed power supply has become the main feature of smart grid technology.The peak-shaving and valley-filling functions of the energy storage device also make it indispensable for the grid.The advanced adiabatic compressed air energy storage power station is attracting more and more attention due to its high efficiency,freedom from geographic environment,fast response,high safety and zero pollution.The paper aims to explore the dynamic characteristics of the 10 MW Advanced Adiabatic Compressed Air Energy Storage System(AA-CAES)operation in the microgrid,and establishes advanced adiabatic compression based on thermodynamic and fluid dynamics mechanisms,as well as related knowledge on energy conservation and mass conservation equations.The mathematical model of compressors,heat exchangers,gas tanks,turbines,hot water tanks,etc.in air energy storage systems.On the MATLAB simulation platform,according to the modular modeling approach to complete the system-related programming and simulation model establishment,The simulation model was established;Based on the TICC-500 system research object,a500 kW class advanced adiabatic compressed air energy storage system simulation model was established on the MATLAB simulation platform by setting the constant coefficient values of the model.At the same time,based on the actual operation data of the TICC-500 power plant,an improved inversion problem solving method was used to solve relevant parameters that the system could not calculate.The simulation model of the optimized parameters was used to simulate the nominal operation process of the TICC-500 system.The dynamic response of the system presented by the simulation results is in accordance with the actual operation process.Based on this model and the relevant operating data of the 1.5MW demonstration power station of the Chinese Academy of Sciences.Through the debug model constant coefficient value,the simulation model of a 1.5MW class advanced adiabatic compressed air energy storage system was established on the MATLAB simulation platform.Thesimulation results showThe dynamic response characteristics of the system have a good agreement with the relevant experimental data.In the steady-state operation,the error of simulation results is withiną3%.According to the simulation model,the real-time running process of 10 MW advanced adiabatic compressed air energy storage system under design conditions was simulated,and the dynamic response characteristics of major equipment during its operation were analyzed.Explored the system input power disturbance process,influence of system input power change on dynamic response characteristics of equipment in energy storage phase of system,and the system output power to meet the demand,changes in the dynamic response characteristics of each equipment during the energy releasing stage.The energy release phase was studied,and the dynamic changes of the dynamic response characteristics of various equipments occurred when the air released from the gas storage tank fluctuates when the mass flow rate fluctuates.The results show that: based on the inversion problem solving method can accurately solve the model can not be calculated by the relevant parameters,the established dynamic model of advanced adiabatic compressed air energy storage system reliability,can save modeling time and reduce the modeling difficulty..The constructed simulation model can correctly reflect the dynamic response characteristics of the system.Through the analysis of system-related dynamic response characteristics and simulation results,it can provide a basis for the design of advanced adiabatic compressed air energy storage system control system,and provide reference for future smart grid operation scheduling including advanced adiabatic compressed air energy storage system.
Keywords/Search Tags:Advanced adiabatic-compressed air energy storage, Inversion method, Modular modeling, Dynamic simulation
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