| Wind power has become one of the renewable energy generation that grows fastest,because of being influenced by variable natural conditions,the output of the active power is uncertain,intermittent and random,wind power can’t meet the requirements of electric power well in the face of the Non-grid-connected system and the grid-connected system: the wind farm connected to the users directly cannot match users’ load better,a large number of wind power was forced to give up dues to connect to grid hard.Equipped with energy storage devices in the system to reduce the wind power output fluctuation,play a “peak load shifting” role,make the system output power relatively stable for a period of time to improve the quality of wind power.As one of the most widely distributed and most abundant elements on the earth,hydrogen has the advantages of high energy density and high calorific value,which is a kind of green energy.Super capacitor is also the most hot spot of recent energy storage application,whose power density is considerable and environmental,reliable.According to the characteristics of different energy storage,electrolytic cell,hydrogen tank and hydrogen combustion gas turbine as the main body of the hydrogen storage system and super capacitor energy storage were chosen to calm the power fluctuation of wind power system.Through analyzing the characteristics of energy storage component,this paper establishes the structure model of energy storage system and builds the non-grid wind power-hydrogen storage system and grid wind power-hybrid energy storage system model,puts forward the coordinate control strategy that aims at wind power and energy storage system in the case of non-grid-connection and grid-connection,establishes the objective function and uses the NSGA-II algorithm to optimize energy storage capacity configuration in both cases.The advantage of "peak load shifting" of hydrogen storage system has a good effect on the overall system,so that the output power of wind power is kept within the required range.The multi-objective optimized results can effectively meet the requirements of cost and power quality,and provide some theoretical basis and guidance for the future energy storage capacity allocation of wind power system. |