Hydro-electric unit commitment subject to uncertain demand
We consider the problem of scheduling daily hydro-electricity generation in a river valley. Each generating station in this river valley has a number of turbines which incur fixed charges on startup and have a generation efficiency which varies nonlinearly with flow. With appropriate approximations...
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| Published in | European journal of operational research Vol. 125; no. 2; pp. 410 - 424 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Amsterdam
Elsevier B.V
01.09.2000
Elsevier Elsevier Sequoia S.A |
| Series | European Journal of Operational Research |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0377-2217 1872-6860 |
| DOI | 10.1016/S0377-2217(99)00172-1 |
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| Abstract | We consider the problem of scheduling daily hydro-electricity generation in a river valley. Each generating station in this river valley has a number of turbines which incur fixed charges on startup and have a generation efficiency which varies nonlinearly with flow. With appropriate approximations the problem of determining what turbine units to commit in each half hour of the day can be formulated as a large mixed-integer linear programming problem. In practice the generation required from this group of stations in each half hour is often different from that forecast. We investigate the impact of this uncertainty on the unit commitment by using an optimization-based heuristic to give an approximate solution to the stochastic problem. |
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| AbstractList | We consider the problem of scheduling daily hydro-electricity generation in a river valley. Each generating station in this river valley has a number of turbines which incur fixed charges on startup and have a generation efficiency which varies nonlinearly with flow. With appropriate approximations the problem of determining what turbine units to commit in each half hour of the day can be formulated as a large mixed-integer linear programming problem. In practice the generation required from this group of stations in each half hour is often different from that forecast. We investigate the impact of this uncertainty on the unit commitment by using an optimization-based heuristic to give an approximate solution to the stochastic problem. The problem of scheduling daily hydro-electricity generation in a river valley is considered. Each generating station in this river valley has a number of turbines which incur fixed charges on startup and have a generation efficiency that varies nonlinearly with flow. With appropriate approximations the problem of determining what turbine units to commit in each half hour of the day can be formulated as a large mixed-integer linear programming problem. In practice, the generation required from this group of stations in each half hour is often different from that forecast. The impact of this uncertainty on the unit commitment is investigated by using an optimization-based heuristic to give an approximate solution to the stochastic problem. |
| Author | Craddock, M. Philpott, A.B. Waterer, H. |
| Author_xml | – sequence: 1 givenname: A.B. surname: Philpott fullname: Philpott, A.B. – sequence: 2 givenname: M. surname: Craddock fullname: Craddock, M. – sequence: 3 givenname: H. surname: Waterer fullname: Waterer, H. |
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| Cites_doi | 10.1007/BF02031746 10.1016/0377-2217(93)90344-M 10.1109/59.535691 10.1007/BF01580220 10.1287/opre.29.4.763 10.1109/59.14564 10.1109/59.317549 10.1287/mnsc.26.7.659 10.1007/978-3-642-59179-2_13 10.1007/BF02031745 10.1109/59.496196 |
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| Keywords | Stochastic integer programming Unit commitment Dynamic programming |
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| Snippet | We consider the problem of scheduling daily hydro-electricity generation in a river valley. Each generating station in this river valley has a number of... The problem of scheduling daily hydro-electricity generation in a river valley is considered. Each generating station in this river valley has a number of... |
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| SubjectTerms | Dynamic programming Integer programming Linear programming Stochastic integer programming Stochastic models Studies Unit commitment |
| Title | Hydro-electric unit commitment subject to uncertain demand |
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