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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jha, D.K. Yorino, N. Zoka, Y. Sasaki, Y. Hayashi, Y. Iwata, K. Oe, R. |
| Copyright Year | 2009 |
| Description | Author affiliation: Chugoku Electric Power Co., Inc., Hiroshima, Japan (Iwata, K.; Oe, R.) || Department of Artificial Complex System Engineering, Graduate school of Engineering, Hiroshima University, Japan (Jha, D.K.; Yorino, N.; Zoka, Y.; Sasaki, Y.; Hayashi, Y.) |
| Abstract | This paper proposes a backward search approach to incorporate excess stream inflows, in Stochastic Dynamic Programming (SDP) based reservoir scheduling, of hydropower plants. The aim is to reduce the amount of spill during operation of the reservoir. Energy maximization type Stochastic Dynamic Programming (SDP) model, with inflow process assumption considered as independent, is developed for a hydropower plant located in Japan. Reservoir operating policy consists of target storage levels at the end of a period, for each combination of beginning of the period storage levels and possible average inflow states during the period. The backward search approach has been incorporated in the SDP model, during the simulation, in order to identify the annual reservoir operation curve, with reduced spill. The storage guide curves identified with incorporation of backward search approach are compared with that from the normal SDP model. It has been found that the proposed approach serves better from the view point of spill reduction. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 550067 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424438105 |
| DOI | 10.1109/PSCE.2009.4840036 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-03-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Costs Uncertainty Storage guide curves Hydroelectric power generation Stochastic processes Dynamic scheduling Probability distribution Guidelines Markov chain Reservoir operation policy Stochastic Dynamic Programming Reservoirs Dynamic programming Power generation Backward search |
| Content Type | Text |
| Resource Type | Article |
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