Research On The Master-slave Game Method Of Multi- Microgrid Energy Dispatch In Distribution Side

Energy shortage and environmental pollution promote the rapid development of renewable energy.The emergence of distributed generation technology realizes the local consumption of renewable energy.The large-scale random and intermittent distributed generation access to the distribution network,which makes how to effectively control the safe and stable operation of the distribution network more challenging.As a small autonomous system,microgrid can effectively control and manage distributed energy,energy storage and load.With the increase of microgrid in regional power grid,multi-microgrid system is formed accordingly.This paper mainly studies the energy scheduling of grid connected microgrid and multi-microgrid in distribution side.Firstly,the models of grid connected microgrid and multi-microgrid system are introduced and analyzed,and the structure characteristics of microgrid studied in this paper are described.The mathematical models of various forms of micro sources and demand side resources at the bottom of microgrid are introduced and analyzed in detail,which provides theoretical basis for the further research in the following chapters.Secondly,for the grid connected microgrid,the day-ahead economic optimal scheduling method based on time-of-use(TOU)price is proposed.Considering the two-way energy exchange between microgrid and large grid,the voltage security of the public connection point is restricted to prevent the voltage from exceeding the limit.The method of power flow model is proposed to model and analyze the microgrid,based on the day-ahead forecast information of renewable energy and load,the coordinated and optimized dispatching of internal source,storage and load can be realized.The simulation results show that the day-ahead optimization strategy can effectively reduce the daily operation cost of microgrid and the fluctuation range of bus voltage.Finally,an energy market management framework for the day-ahead optimization of multi-microgrid in distribution side is proposed,and an economic optimization model based on the master-slave game is constructed.As the leader,the distribution network operator(DNO)sets the internal transaction price to minimize the operation cost,and at the same time,consider the power flow constraints to ensure the operation reliability of the distribution network.As a follower,microgrid operators(MGOs)respond to the internal transaction price,which in turn affects the price decision of DNO.Differential evolution algorithm and mixed integer programming are used to solve the equilibrium solution of game strategy,and the optimal price scheme is obtained.The proposed method is simulated in an improved IEEE 33 node system,and the results show that the proposed energy management strategy can encourage the microgrid to participate in the distribution market management,effectively reduce the operation cost and improve the safety and stability of the system.