Application Of Consensus Of Multi-Agent Systems In Microgrids And Distributed Optimization Problems

The concept of microgrid is gradually taking shape in order to achieve flexible,reliable and economical power supply to local areas.Microgrids is defined as an information-physical system consisting of energy network,information network and transportation network of various types of distributed generation units.As more and more renewable energy generators(wind,solar,etc.)and distributed conventional generators are integrated into the power system,it brings new challenges to the energy storage system and the coordinated operation of loads in microgrids.This paper focuses on the application of Multi-agent systems to microgrid and optimization problems in the context of multi-intelligent body systems.The main research of this paper includes.The consensus of Multi-agent systems is investigated to solve the power allocation and economic distribution problems in microgrids.In the power allocation in this paper,power-related cost parameters are brought into the control algorithm to achieve power allocation while minimising generation costs.Convex optimization modeling is applied in the economic dispatch problem to achieve the power demand.Considering that the microgrid will operate under various situations,different algorithms are designed in this paper.1.For the power allocation problem under denial-of-service attacks,an event-driven power allocation algorithm is used in this paper.This algorithm ensures that the power allocation is done under denial-of-service attacks.2.Sampling-based data strategy for the power allocation problem of microgrids uses event-driven protocols to accomplish the goal of power allocation and effectively reduces the communication requirements.In addition,a distributed adaptive algorithm based on convex optimization is used for the economic allocation problem of microgrids to achieve the maximum reduction of operating costs by optimally distributing the entire energy demand among local generating units.Finally,the feasibility and effectiveness of the above algorithm is verified by numerical simulation.