Research On Energy Management System Of Microgrid Based On Hybrid Game

With distributed PV technology advancing with The Times development,our country is gradually improve the market environment of distributed power generation projects and related national policy.The distributed power generation equipment with the integration of power system not only alleviates the pressure of the power supply,but also presents new challenges to the coordinated operation of electric power system.As mentioned in the new electricity reform policy,in order to strengthen the market competitiveness of new energy generation entities,new energy generation entities are encouraged to sign long-term power purchase and sale agreements directly with power users or power sales companies,gradually forming a tariff mechanism in which electricity market decision power pin electricity prices,the government decided to transmission and distribution price,to realize marketization of power purchase and sale price..The market-led pricing mechanism can promote competition on the one hand,and expand the choice of electricity users on the other,which is the direction of future research on new power systems.As an extension of microgrid,islanded microgrid is often found in remote areas or when microgrid is disconnected from the grid due to fault,islanded microgrid as a more complete individual needs to coordinate the power supply and demand balance.In order to build a modern energy system with synergistic supply and interaction between supply and demand,it is important to study the operation and control of islanded microgrids because of their low efficiency,insufficient coordination between source,network and load,and inadequate complementarity between various power sources.To address the above issues,the following research is conducted.Firstly,this paper focuses on the problem of direct electricity trading between PV power generation entities and electricity consumers,and uses cooperative-noncooperative two-stage game theory to investigate the process of optimal scheduling and negotiated bargaining for the cooperative operation of the microgrid system composed of light storage and load and the power grid.In the first stage,we build a mathematical model for the operating characteristics of the microgrid to improve the alliance revenue through optimal scheduling,and use the ADMM to avoid the situation that electricity cancels each other due to the superposition effect during the trading process,and obtain the scheduling results by using the cooperative game.The second part analyzes the impact of electricity price model for the deal,builds a negotiated bargaining model between PV power generating entities and users,improves on the basis of the BAS,adopts a bargaining model combined with adaptive moment estimation,and uses the non-cooperative game to allocate the benefits to obtain the optimal trading price of electricity.The feasibility of the model is also verified by arithmetic examples,and the results show that the built model improves the microgrid revenue while enhancing the ability of PV consumption level through the guiding role of the market.Secondly,the shared energy storage device acts as an energy hub between multiple microgrids,making full use of the complementarity of each microgrid’s power consumption time to mobilize the power flow of each microgrid.In this paper,we investigate the process of cooperative operation of shared energy storage participating in multiple islanded microgrid systems,focusing on the optimization of the operating conditions of multiple microgrids and shared energy storage service fees in two phases.In the first stage,the improved GWO is used to calculate the output power state of each power supply with the goal to make the micro grid of economy at the same time make the best setting optimal energy storage capacity In the second stage,the revenue allocation problem is converted into a negotiation and bargaining process,and the shared energy storage is used as the two sides of the game.In addition,by combining the non-cooperative game theory,ADMM is used to calculate the cost of the service function provided by the optimized shared energy storage station.The simulation results show that by controlling shared energy storage for charging and discharging,the operation mode of the system can be adjusted flexibly,and the excess resources of each main body can be integrated to further optimize the power allocation.While improving the absorption capacity of new energy,the efficiency of resource utilization can be effectively improved to meet the demand of each main body,so as to realize the sharing of energy storage resources.The above research shows that the two-stage study of optimal scheduling and negotiation is important for improving the level of new energy consumption,balancing the interests of various parties and optimizing the energy flow between multiple microgrids for both grid-connected and islanded microgrids.