| It is a multi-objective optimization problem to improve the stability of microgrid and the absorption capacity of renewable energy.Because renewable energy is intermittent,volatile and unpredictable,it is limited to play a clean,environmentally friendly and easy-to-exploit role in the microgrid.The existing methods have made some progress in improving the absorptive capacity of microgrid,but it is difficult to establish appropriate models to improve the volatility of renewable energy.Based on the experimental platform of our university's microgrid,an optimal dispatching method of microgrid based on game theory is proposed in this paper.Firstly,a data acquisition and monitoring platform for microgrid is established.The unified communication platform of photovoltaic equipment,fan,energy storage equipment and electric vehicle is established through CAN bus communication protocol.Real-time data of power generation,voltage,current and temperature of each equipment are obtained.The man-machine interface is created through Labview to realize real-time display of data and draw time curve,which provides data basis for the study of operation characteristics and optimal scheduling strategy of each equipment.Then,the influence of environmental factors on fan,photovoltaic and electric vehicle is analyzed,and the calculation method of renewable energy output based on wind speed,illumination intensity,temperature and meteorological conditions is proposed.Compared with the historical data obtained by the experimental platform and error analysis,the proposed calculation method can accurately reflect the situation of renewable energy generation.Combining with the above research results,the strategy of minimizing the fluctuation of microgrid,improving the absorption capacity of renewable energy and reducing the operation cost of microgrid is put forward,and a multi-objective optimization model is established.On the one hand,the objective is to minimize the fluctuation of microgrid,on the other hand,to minimize the operation cost of microgrid system.The game theory is applied to treat the fan and photovoltaic as one side of the game,the energy storage and electric vehicle as the other side of the game.The constraints of equipment constraints,environment constraints,travel demand constraints,power supply and demand balance constraints in microgrid are considered comprehensively.Multiobjective optimization model of microgrid is established,and Nash equilibrium method is used to solve the model.Finally,the proposed strategy is validated by the simulation software MATLAB,which proves that the proposed strategy can effectively suppress the fluctuation in the microgrid,improve the system wind and solar absorption,and reduce the system operation cost.It has a positive role in the development and promotion of microgrid technology.Finally,according to the proposed strategy,the experimental platform is used to establish the optimal control system of the microgrid to optimize the control of the equipment in the microgrid. |
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