A Game-theoretic Approach To Study On Optimized Operation Of AC/DC Hybrid Microgrid Clusters

The AC/DC hybrid microgrid have the advantages of both DC microgrid and AC microgrid,it is able to meet the diversified power needs and increase the flexibility of power supply.At the same time,it can also reduce power loss and lower the whole system cost.With the rapid development of smart grid,more and more AC/DC hybrid microgrids are appearing in the distribution networks.The economic operation and management of multi-microgrids and transaction mode between them are the key for the development of multi-microgrids and regional distribution networks.How to balance the interests among the various participants is a big challenge in smart grid operation,scheduling and control.Therefore,it has great theoretical value to study the optimal method of microgrids operation.This paper first introduces the structure and operation control mode of AC/DC hybrid microgrids,establish the mathematical models and economic cost optimization models for each microsource in AC/DC microgrids,then establish the optimized objective function of AC/DC microgrid for economic operation.For the optimal operation of a single microgrid,the objective function is solved based on the particle swarm algorithm to obtain the output strategies of each micro-source in 24 hours a day;For the optimized operation of multiple microgrids,based on the supply and demand theory,the dynamic adjustment mechanism of electricity price is introduced into microgrid parks,and a game model for the optimal operation of N microgrids is established.The Nash equilibrium solution of the established model is obtained by iterative search algorithm,and the convergence of Nash equilibrium solution is also proved.The actual case are introduced to calculate the operation results.It is verified that each microgrid has the maximization of self-interest under the operating strategy based on the Nash game,and finally compare to the maximum economic benefit,to verify the losses caused by competition between microgrids and the efficiency under Nash equilibrium.