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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vardanyan, Y. Amelin, M. |
| Copyright Year | 2011 |
| Description | Author affiliation: Electric Power Systems, Royal Institute of Technology, Teknikringen 33, 10044 Stockholm, Sweden (Vardanyan, Y.; Amelin, M.) |
| Abstract | The amount of wind power is growing significantly in the world. Large scale introduction of wind power in the power system will increase the need for improved short term planning models of hydro power, because additional variations are introduced in the system. This huge amount of uncertainties in the power system will cause changes in the power market and there will be a value of advanced planning techniques, that will allow more flexibility in hydropower generation by taking into account stochastic nature of spot and regulating markets, water inflow, future water value and so on. The application of multi-stage stochastic optimization in the planning of the daily production of hydro power is not wholly discovered and requires further research. The complexity of the mathematical programming of the short term hydro power production including several type of uncertainty, while keeping the problem size solvable, challenges the power system researchers. This paper overviews the literature in the field of short term hydro power planning in power systems with large amount of wind power. |
| Starting Page | 448 |
| Ending Page | 454 |
| File Size | 518428 |
| Page Count | 7 |
| File Format | |
| ISBN | 9781612842851 |
| e-ISBN | 9781612842868 |
| e-ISBN | 9781612842844 |
| DOI | 10.1109/EEM.2011.5953053 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-05-25 |
| Publisher Place | Croatia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Uncertainty Hydroelectric power generation Stochastic processes Production Wind power generation Power systems Planning |
| Content Type | Text |
| Resource Type | Article |
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