Fuzzy Logic Model on Operation and Control of Hydro-Power Dams in Malaysia

The aim of this paper is to develop a fuzzy logic model for deriving optimal operational rules at the macro level for better performance and control of hydro-power generation. System modeling based on conventional mathematical tools is not well suited for dealing with ill-defined and uncertain systems. By contrast, a fuzzy inference system employing “if-then” rules can model the qualitative aspects of human knowledge and reasoning processes without employing precise quantitative analyses. In fuzzy logic, diagnosis is based on imprecise data. For instance, when the demand is ‘very high’ i.e. in linguistic term, then its value is important in assisting with the diagnosis. But fuzzy logic can work with this kind of data too. Systems like this are too complex to be modeled using classical discrete mathematics. The model uses the methodology for expressing operational rules of hydro-power generation in linguistic terms instead of mathematical equations. The model will be validated using the data from Chenderoh dam in state of Perak in West Malaysia. keywords: water power engineering; operation policy of dam; fuzzy logic; heuristic approach.