:   . ., . ., . .,
:  
:  46
:  
:  2013
:   . ., . ., . ., / . 46. .: , 2013. .293-309.
:  , , , , , , HRES.
(.):  hybrid, smart grid, renewable energy source, neural network, forecast, optimization, HRES
:   . . . .
(.):  Nowaday energy management is an important subject for intelligent control. The problem is to find a real-time energy sources switching strategy, which minimizes wastes and energy cost. We consider an intelligent hybrid energy system (HRES), which optimizes a number of criteria, such as efficiency and energy costs, by switching between energy sources in real-time based on energy consumption and production forecasts. The switching strategy is found with a genetic algorithm. Efficiency of the developed control system as compared to existing energy systems is verified with computer simulation.

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