Research On Energy Management Strategy Of Microgrid Based On Multi-Agent

In order to reduce greenhouse gas emissions and fossil energy consumption,today's society needs to develop and use clean energy to solve the problem of environmental and energy shortages.As a controllable power supply system integrating multiple renewable energy sources,the microgrid can reduce the randomness and volatility of renewable energy sources and improve the energy utilization rate through scheduling methods,and is an important means to maintain sustainable energy development.In order to further improve the economics and flexibility of the microgrid,the multi-agent system is applied to the microgrid energy management research,and a microgrid energy management strategy based on the Multi-Agent system is proposed,which mainly includes the following:?.Establish a mathematical model of the microgrid,analyze the operating characteristics and working principles of the wind turbine,photovoltaic generator,gas turbine,hybrid energy storage system,and load in the microgrid;then briefly describe the two operating modes of the microgrid on-grid and off-grid,the operation differences between the following equipment are analyzed,and finally a simple analysis of the renewable energy power generation and load forecasting algorithm is made.?.Coordinate the management and optimization of the power of the hybrid system based on the MAS system.First,the output power of the distributed energy is collected through Multi-Agent,and the spectrum analysis is performed.The economic cost objective function is established according to the installation cost and maintenance cost,and initialized.The capacity of the energy storage system;then,based on the requirements of the microgrid for the output power fluctuation rate of renewable energy,a hybrid energy storage system is used to stabilize,and finally the total power of the hybrid energy storage is reasonably allocated according to the state of charge of the supercapacitor and the battery.The foundation of the real-time rolling optimization process is laid.?.In order to reduce the operating cost of the microgrid system and improve the ability of each device in the microgrid to absorb the distributed energy output power,a double-layer energy management strategy for the microgrid is established based on the Multi-Agent system.Among them,the scheduling layer is a multi-time scale economic optimization problem.A multi-objective optimal scheduling model is established with the minimum operating cost and minimum electrical energy waste rate as the goal,the genetic algorithm solves the objective function of the dispatch layer and determines the power planning of the microgrid for one day.The control layer proposes a real-time rolling optimization strategy for hybrid energy storage and load scheduling.According to the actual operating state of the microgrid,one hour is the maximum optimization period to modify the optimization results of the scheduling layer to reduce the impact of prediction errors on energy scheduling,And when the output power of distributed energy fluctuates,a hybrid energy storage system is used to reduce the fluctuation of microgrid power.Through the double-layer energy management strategy to guide the optimal operation of the microgrid,highlight the flexibility of energy storage dispatch and the incentive effect of electricity prices.Finally,Using Matlab to simulate and analyze the double-layer energy management strategy.Through the optimization of micro-grids under different operating modes shown that the double-layer energy management strategy proposed in this paper not only improves the economics of system operation but also maintains power balance.And power quality is of great significance for the sustainable development of microgrids.