No abstract

This paper shows a study of the influence of the type of wind data in the optimization of Wind-Batteries standalone systems. We have considered two types of input data for the wind speed: 1) measured wind speed hourly data for a whole year and 2) monthly average wind speed data. When using the second type of data, we generate synthetically the hourly wind speed data of the year, and we force a certain number of consecutive days of "calmness" (in this case wind speed lower than 3 m/s) in the month of most time of calmness (generally December or January in Zaragoza). The results show that, using monthly average wind speed data, if the number of consecutive days of forced calmness is adequate, the optimal system found by the optimization tool is the same as the one obtained using the measured wind speed hourly data. Thus, the method of generating wind speed hourly data synthetically is validated to be used in the optimization of Wind-Hybrid systems.