Sustainable Water Management Solutions for Large Cities
(Proceedings of symposium S2 held during the Seventh IAHS Scientific Assembly at Foz do Iguaçu, Brazil, April 2005). IAHS Publ. 293, 2005, 32-40A deterministic-stochastic model for real-time reservoir operation under inflow uncertainty
Alcigeimes Batista Celeste, Koichi Suzuki & Akihiro Kadota
Laboratory of Hydraulic Engineering, Department of Civil and Environmental Engineering, Ehime University, 3 Bunkyo-cho, Matsuyama, 790-8577 Ehime, Japan
geimes@yahoo.com
Abstract This paper deals with the development of a procedure that integrates deterministic and stochastic optimization models for the real-time operation of a multipurpose reservoir. The procedure first determines the long-term (monthly) operating policy and then employs its information to search for the best short-term (daily) operation. Monthly and daily inflows are assumed to be stochastic and deterministic, respectively. The efficacy of the approach is investigated in a case study of the reservoir that supplies the city of Matsuyama, Japan. The results indicate that the procedure is able to provide more superior operating policies than standard simulation techniques.
Key words
chance constraints; real time; reservoir operation