Fuzzy Logic Based Decision Making for Hydroelectric Energy Generation in a Cascaded Hydropowerplants
Journal Title: Acta Technica Napocensis- Electronica-Telecomunicatii (Electronics and Telecommunications) - Year 2009, Vol 50, Issue 1
Abstract
Hydroelectric energy is a major source of renewable electricity in the world. The industry is continuously searching for ways to improve the efficiency and reliability with which it produces energy. A method based on subtractive clustering of historical data, to develop fuzzy rule-based systems for optimal hydroelectric energy generation allocation for a hydropowerplant is proposed in this paper. The applicability of this modeling approach is demonstrated by a study on the cascaded hydropowerplants on Somes River in Romania. The optimal planning of energy generation is determined on total demand of energy production for entire hydropowerplants cascade, water storage stage, and reservoir inflows. Two fuzzy systems, FEA1, encapsulating information only about the hydropowerplant under consideration, and FEA2, encapsulating information about all the cascaded hydropowerplants, are developed. Both fuzzy models was able to model, with good results, the optimal operation of the considered hydropowerplant, with a plus for FEA2 that provides more accurate results in the testing data set.
Authors and Affiliations
Gabriel OLTEAN, Mihaela GORDAN, Emilia ŞIPOŞ, Eugen STĂNCEL, Ovidiu DANCEA
Keywords
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