According to a directive issued by the European Union in 2009, it is desirable to supply 20% of the total energy consumption of the community from renewable sources by 2020. In accordance with this initiative, Hungary has made a commitment to increase the share of renewables in electrical energy generation to 10.9% by the end of the decade. In order to reach the target, significant investments are needed, and as stated in the directive, utilizing small-regional renewable energy with support of distributed generation can be of key importance.
After a brief summary of Hungary’s energy politics of this decade, and the relevant standards regulating the connection of small-scale power plants, a proposed decision support method is described, which aims to assess the solar and wind energy potential of a region.
A geographical map and one containing the lines of the regions middle-voltage network were merged using a graphic software, and divided into squares of a given size using a raster. The relevant parameters of each square (geographical characteristics, path of the lines) were marked with certain colors and shades. Important premise is that in each square, the parameteres are constant, and only one power plant can operate.
The allowed maximal nominal power of a plant, and so indirectly the cost of the investment is determined by the short circuit power of the point of connection. Latter is calculated in each square using an approximation that requires the short circuit power of only the starting and endpoint of a linesection. The yearly energy production, and so indirectly the annual revenue is calculated using the irradtiation data from an European solar database, and fictitious wind speed of each square.
With a given investment limit, after economic calculations, the squares with the best parameters were chosen. Thereafter, the effects of the connection of the power plants on the mains voltage were analized by executing simulations, in order to determine whether the deviations remain in the limits set by the standards.