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Abstract.This paper shows the optimization of a PVWind system to supply the demand of water pumping in a small town in Bolivia. This work has been done with the HOGA program (Hybrid Optimization by Genetic Algorithms). The objective function to minimize in the design process is the total Net Present Cost (NPC) of the system. The system is defined as a combination of components (PV panels and wind turbines). In this case HOGA has used as an enumerative method of design, evaluating all the possible solutions to the design problem. In the example shown, the optimal system found is a Wind-Only system, not a hybrid system, due to the prices of the components and the metheorological conditions for this case.

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.

Abstract. This paper studies the generation to feed three stand-alone existing pumping systems in the province of Zaragoza (Spain), in the same area but with different consumption and irrigation needs. All of them are used only for half the year. We look for the optimal size of the generation mix, both economically and in reducing emissions.For simulation and optimization the program used is HOGA (Hybrid Optimization by Genetic Algorithms). It is considered diesel generation, photovoltaic and wind as well as storage. As renewable resources are almost identical in the three locations, the magnitude of energy demand and schedule are the distinctive parameters of each facility. We considered how to choose the optimum angle of the PV array, the preference between the solar and wind and the desirability of whether or not the diesel generator.The results show the importance of seasonality and time consumption profile to determine the generation mix and to choose the optimum inclination of the field of photovoltaic conversion. Results also show that most emissions reductions are not always obtained by removing the genset.