Research On Energy Optimization Scheduling Of Photovoltaic Microgrid Considering Demand Side Response

As a clean renewable energy,solar energy is being used more and more in daily life.The photovoltaic microgrid is an important part of distributing the distributed solar power into the power grid.Because of the randomness and intermittence of solar power generation,it brings great impact to microgrid.In order to reduce the adverse effects of distributed solar power generation,improve the stability of the microgrid system and establish an optimal scheduling model suitable for the photovoltaic microgrid,it is of great theoretical and engineering significance.Based on previous studies,we have studied the scheduling and energy management of microgrid system from a systematic perspective.(1)In the demand side response of the time of use price,the electric vehicle is used as a movable energy storage device to optimize the energy of the photovoltaic microgrid.In view of whether the power dispatching of the electric vehicle is involved in the photovoltaic microgrid energy dispatching,the influence of the micro grid economic operation is explored,and the energy optimization scheduling model including the charge and discharge of electric vehicles and the charge and discharge of the electric vehicle is set up respectively.The energy storage constraint and power balance state of the microgrid system are considered,and the power balance state can be transferred.On the basis of the time and transfer quantity of load transfer and the constraint conditions of electric vehicle charging and discharging,the solution method based on artificial immune algorithm is proposed,and the system model is simulated.The feasibility of the method is analyzed by the simulation results,and the economic effect of improving the operation of the micro grid is remarkable.(2)Considering the real-time performance of the control of the microgrid system,the improved artificial immune algorithm is introduced to optimize the artificial immune algorithm in the practical application.The objective function is the life of the lithium battery and the cost of the electricity exchange between the micro grid and the distribution network,and the photovoltaic system is based on the actual operation.The micro grid platform,considering the energy storage of the microgrid system,the state of power balance,the time and the transfer of transfer load transfer,the improved artificial immune algorithm is used to simulate and analyze the system,and the two algorithms are compared and compared to verify the optimization of the improved artificial immune algorithm.Moreover,the economy and stability of microgrid operation can be obviously improved.(3)Based on the actual microgrid system,the hardware design and software design of the control system are introduced in detail,and the optimization strategy in this paper is applied to the actual operating microgrid system to realize the intelligent control of the microgrid.