DocumentCode
2284892
Title
Penalty Factor Approach of Minimizing Spill in Finding Operating Policy for Reservoir of a Hydropower Plant: A Case of Japan
Author
Jha, Deependra Kumar ; Yorino, Naoto ; Zoka, Yoshifumi ; Sasaki, Yutaka ; Hayashi, Yuki ; Iwata, Kajunoni ; Oe, Ryuji
Author_Institution
Dept. of Artificial Complex Syst. Eng., Hiroshima Univ., Higashi-Hiroshima
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
3
Lastpage
7
Abstract
This paper considers a penalty factor incorporated energy maximization type objective function, in order to reduce the amount of spill during the operation of the reservoir of a hydropower plant. Stochastic dynamic programming (SDP) model with independent inflow process assumption is developed for a hydropower plant located in Japan. SDP models can incorporate the inherent uncertainty associated with the stream inflows better than the deterministic models. Reservoir storage guide curves for typical water years (dry, average and wet years) are identified based on the operating policy. Operating policies with various values of constant of penalty function are obtained and, simulated storage guide curve for an average year is identified. Energy generation versus spill reduction curve may be plotted for various cases as such; a break-even point can be identified based on the cost functions associated with the energy and spill.
Keywords
dynamic programming; hydroelectric power stations; reservoirs; stochastic programming; Japan; hydropower plant; operating policy; penalty factor approach; reservoir storage guide curves; spill minimisation; stochastic dynamic programming model; Costs; Dynamic programming; Hydroelectric power generation; Power engineering and energy; Reservoirs; Stochastic processes; Systems engineering and theory; Uncertainty; Water resources; Water storage; Hydropower plants; Markov Chain; Penalty factor; Stochastic Dynamic Programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Electrical Engineering, 2008. ICCEE 2008. International Conference on
Conference_Location
Phuket
Print_ISBN
978-0-7695-3504-3
Type
conf
DOI
10.1109/ICCEE.2008.102
Filename
4740935
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