Research On Microgrid Control Based On Multi-agent Game Theory

Energy crisis and environmental problems are becoming more and more serious.The development and utilization of new energy has become an important way for governments to save energy and reduce energy and develop green energy.Micro-grid is the best bridge between distributed power and large power grid.In recent years,the academic and industrial literatures have focused on enhancing the intelligence,responsiveness,dynamics,adaptability and flexibility of the power grid.A very important criterion for an excellent "smart grid" is the resilience,with better recovery.In a power grid,the fault-free zone can continue to operate undisturbed,and the disturbed zone can also resume normal operation in a very short time.The multi-agent system discussed in this paper is one of the key technologies to implement this flexible control scheme.This paper studies the specific model construction of microgrid and the game control level with the aim of economy and power balance.The main contents and innovations include:(1)This paper analyzes in detail the principle and mathematical model of the independent operation of each component of the microgrid.On the MATLAB/Simulink platform,a microgrid system simulation model including multiple power generation modes and load types is established,and the game is controlled for subsequent chapters.The simulation provides a test platform;the control methods of the independent module such as PQ control,V/f control,etc.are debugged,and then the modules of the system are integrated,and the overall system operation is simulated and tested to verify the effectiveness of the local control.(2)Inverter as a key module for most distributed energy units in the microgrid to access the grid has very important research significance.The structural model of the inverter was established.Then the control strategies applied in different power generation modes were analyzed and compared,which provided theoretical support for the subsequent micro-grid joint simulation.The simulation model was built according to the mathematical structure model;The game relationship,built a dual inverter experimental platform,including the main circuit,drive circuit and detection circuit;for the micro-grid joint experiment completed the experimental work of dual inverter cooperative control.(3)Based on the idea of multi-agent system information exchange and structure establishment,this paper establishes the micro-grid optimization control structure and studies the distributed optimization control algorithm based on multi-agent theory.At the same time,the game theory is introduced to transform the multi-module operation problem in the micro-grid into a multi-objective programming problem.The power balance and the best income are the objective functions,and the installed capacity limits,power balance constraints and natural conditions of the system are affected.The factor is used as a constraint to establish a game model,and the convergence of the model is verified to determine the existence of Nash equilibrium.The improved particle swarm optimization algorithm is used to solve the Nash equilibrium state in the game.The original basic particle swarm optimization algorithm is improved to make the Nash equilibrium fall into the local optimal state,and the local optimal solution is approximated to the global optimal solution.