Research On Size Optimization And Control Of Household Microgrid Based On Solid Oxide Fuel Cell

Under the background of environmental protection and sustainable development,microgrid based on renewable energy has been developed rapidly.As an important distributed power supply technology,microgrid can integrate a variety of energy sources and has strong flexibility and expansibility.It is of great significance to the energy structure reform and power supply in remote areas in China.Solid Oxide Fuel Cell(SOFC)is a green,efficient and controllable power generation technology,which is suitable as a component of microgrid,and can make up for the shortage of photovoltaic(PV)and wind turbine generator(WTG).The size optimization and control strategy design of microgrid are the core problems in its application.In this thesis the microgrid composed of SOFC,WTG,PV and battery is taken as the research object,and the key issues such as size optimization,economic analysis and control strategy design of microgrid in home power supply application are studied,then the theoretical basis and engineering reference solutions for SOFC based microgrid application are provided.As for size optimization and economic analysis,this thesis first builds the lifecycle cost model of the microgrid.Then,based on the established high-precision cost model,the cost function of the microgrid system is designed,and the dispatching problem of the microgrid is transformed into a quadratic programming problem.In order to reduce the amount of calculation,the clustering algorithm is used to select typical days for microgrid operation simulation,and calculates the Levelized Cost of Energy(LCOE),and then the GA-PSO algorithm is used to search for the optimal size of microgrid.In order to carry out the economic analysis of microgrid,this thesis optimizes the size of the household microgrid in different cities in China,and compares and analyzes the operation costs of microgrid in island and grid-connected mode,as well as the economic benefits of microgrid in different cities.The results show that the size optimization method proposed in this thesis can effectively find the optimal size of the microgrid,and under the optimal size,the microgrid in most areas has good economic benefits.As for the control of microgrid,this thesis realizes the hierarchical decision optimization and power balance control of the microgrid based on the multi-agent system.Master-slave control is adopted for power balance control,and day-ahead dispatching optimization algorithm based on Alternate Multiplier Directional Method(ADMM)and dispatching plan revision strategy based on multi-agent negotiation are adopted for decision-making layer.In order to realize the simulation of the microgrid control system,this thesis first established a multi-agent system based on JADE,and then combined with the microgrid control model in the Matlab/Simulink,using MACSim JX to realize the information interaction between JADE and Simulink.The results show that the designed microgrid control system has good control performance and can realize the optimal economic dispatching and fast power response of the microgrid.