| Photovoltaic-storage microgrids include photovoltaic power generation systems,energy storage devices,loads,and control devices.It can be used as a controllable load of the grid to participate in the dispatching,and can also achieve island-autonomous operation.As one of the core control technologies for realizing the economic operation,energy management and flexible scheduling of optical storage power generation system,the energy management of optical storage microgrid has important theoretical significance and engineering application value.In this paper,the energy management control method and simulation modeling of optical storage microgrid considering island operation are studied.The demand side load is divided into unregulated load,translatable load and interruptible load,and the corresponding mathematical model is established.An energy management optimization strategy for unified control and scheduling of distributed power and load side of photovoltaic power generation system and battery pack is proposed to realize coordinated operation of power supply and load.In the grid-connected operation mode,a real-time energy scheduling strategy with the lowest operating cost of the microgrid is proposed.For the photovoltaic energy storage microgrid in the island operation mode,the total power generation cost and load blackout cost of the microgrid are proposed.The lowest-targeted real-time energy management strategy.In this paper,an improved artificial bee colony algorithm is used to solve the optimization problem.Combined with the degree of constraint violation,and using the dynamic penalty factor for the degree of constraint violation,the constraint problem is transformed into an unconstrained problem.Optimize the following probability formula to improve the global search ability and convergence of the algorithm.Finally,the real-time digital simulation platform FRTDS is simulated,and the proposed energy management strategy is applied to the real-time simulation model.The simulation results verify the validity and correctness of the energy management strategy. |