| In the 21st century,the intelligent power grid has been widely recognized by people.In order to make smart grids effective,microgrids(MGs)composed of renewable energy(RE)sources such as wind and solar energy and the main grid have been introduced and promoted in many areas.However,the intermittenency and uncertainty of the RE bring great challenges to the power distribution of grid connection and resource distribution among Multiple-Microgrid.The local energy game is an advanced method of resource allocation,which determines the energy allocation and price of each MG in the day-ahead or real-time electricity market.However,there is still a lack of research on the resource allocation model and scheme based on Multiple-Microgrid network in the market.This paper focuses on the consistency of multi-agent system in the grid-connected MGs’power distribution and energy allocation among Multiple-Microgrid.The main research of this paper is:In this paper,a distributed algorithm based on multi-agent consistency is proposed to solve the active and reactive power distribution problems of dispatchable distributed generators(DDGs)based on alternative current(AC)microgrid and spatially concentrated DDGs.A state observer output feedback control approach and a leader-follower scheme are designed for each generator to achieve the consistency of the output proportion and satisfy the balance of supply and demand in the power system.In this paper.a distributed algorithm is proposed for the AC microgrid and the DDG model,which is verified by simulation results.Another key part of smart grid is the integration of distributed energy storage and renewable energy resources among multiple microgrids.In view of the above problems,this paper studies the energy management strategy of double-layer multi microgrid based on an aggregation game.At the upper level,the energy allocation among microgrids is interactive and the transaction process of Multiple-Microgrid is modeled as an aggregative game.Because of the linear coupling constraints among the MGs,an algorithm based on distributed projection is proposed to solve the variational generalized Nash equilibrium(GNE)and maximize the individual profit for the MG.When all the energy strategies of the MGs are configured,the dynamic response of economic dispatch(ED)and demand response(DR)to the upper demand are proposed at the lower level,which are converted to solve the social welfare maximization problem.The distributed alternating direction method of multipliers(ADMM)algorithm is adopted to ensure the balance of power market effectively and maximize the social welfare in each period.This paper has tested the Multiple-Microgrid system with different load/generation data,which is verified by the simulation examples. |