Research On Multi-Agent Coordination Control Strategy In Smart Grid

With the development of computer technology,more and more information technology is integrated into power system.Smart grid is a huge system that integrates power network and information network.Smart grid has the characteristics of high non-linearity,relative independence and connection among regions.According to these characteristics,this paper proposes a multi-agent coordinated control strategy utilizing the idea of dividing and governing.This strategy divides relatively complex control tasks into several simple sub-tasks and assigns them to agents in multi-agent systems.Agents in multi-agent system accomplish the target task by cooperating with each other.Firstly,the model of agent and the interaction process between agent and environment are introduced.The basic structure of multi-agent system is discussed.The communication mode of multi-agent system is analyzed.It provides a theoretical basis for the following research.Secondly,The structure and model of wind-solar storage and power generation system in smart grid are given.Maximum power point tracking control of photovoltaic power generation system and wind power generation system are analyzed respectively.According to the three-tier structure model,A multi-agent coordinated control system is constructed under JADE.The corresponding coordinated control strategy is proposed,on the basis of different weather conditions and load states.Thirdly,To solve the coupling between output voltage of photovoltaic cells and inductance current of Boost converter,a first-order LADRC controller is designed.By using LADRC,the maximum power point tracking of photovoltaic power generation system is realized,and energy conversion rate is increased.By setting time-varying environmental parameters,The simulation experiment is carried out in MATLAB.Finally,According to the structure of micro-grid and distributed generation model in Smart Grid,the objective function of multi-agent system is established,by considering the economic cost and environmental impact respectively.The forecasting algorithm of FNN is used to forecast power generation and determine the demand of residual electricity to be provided into the objective function.By using Particle swarm optimization algorithm based on simulated annealing,The optimal distribution of output power of distributed power supply in microgrid is obtained,and the energy coordination management of microgrid is realized.