STOCHASTIC MANAGEMENT OF THE OPEN LARGE WATER RESERVOIR WITH STORAGE FUNCTION WITH USING FUZZY LOGIC

STOCHASTIC MANAGEMENT OF THE OPEN LARGE WATER RESERVOIR WITH STORAGE FUNCTION WITH USING FUZZY LOGIC

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Described models are used random forecasting period of flow line with different length. The length is shorter than 1 year. Forecasting period of flow line is transformed to line of managing discharges with same length as forecast. Adaptive managing is used only first value of line of discharges. Stochastic management is worked with dispersion of controlling discharge value. Main advantage stochastic management is fun of possibilities. In article is described construction and evaluation of adaptive stochastic model base on fuzzy logic. Models were used for stochastic management of open large water reservoir with storage function. The fuzzy model is used fuzzy logic as replacement of classic optimization algorithm. If model is given pattern matrix of management, matrix is given by model base on classic optimization algorithm, and forecast, controlling discharge value is computed by model for chosen probability of controlling discharge value. Model was tested and validated on made up large open water reservoir. Results were evaluated and were compared with model base on traditional algorithms. Evaluation was done for 100% forecast (forecasted values are real values) and for chosen probability of discharge. The management of the large open water reservoir with storage function was logically. The main advantage of fuzzy model is computing speed. Classical optimization model was needed much more time for same calculation as fuzzy model, therefore classic model was used parallel computing.

Described models are used random forecasting period of flow line with different length. The length is shorter than 1 year. Forecasting period of flow line is transformed to line of managing discharges with same length as forecast. Adaptive managing is used only first value of line of discharges. Stochastic management is worked with dispersion of controlling discharge value. Main advantage stochastic management is fun of possibilities. In article is described construction and evaluation of adaptive stochastic model base on fuzzy logic. Models were used for stochastic management of open large water reservoir with storage function. The fuzzy model is used fuzzy logic as replacement of classic optimization algorithm. If model is given pattern matrix of management, matrix is given by model base on classic optimization algorithm, and forecast, controlling discharge value is computed by model for chosen probability of controlling discharge value. Model was tested and validated on made up large open water reservoir. Results were evaluated and were compared with model base on traditional algorithms. Evaluation was done for 100% forecast (forecasted values are real values) and for chosen probability of discharge. The management of the large open water reservoir with storage function was logically. The main advantage of fuzzy model is computing speed. Classical optimization model was needed much more time for same calculation as fuzzy model, therefore classic model was used parallel computing.