On the Importance of Detailed Thermal Modeling for Price Forecasting in Hydro-Thermal Power Systems
| Autor: | Christian Øyn Naversen, Stefan Jaehnert, Arild Helseth, Mari Haugen, Birger Mo, Hossein Farahmand |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
050210 logistics & transportation
Mathematical optimization Computer science 020209 energy Computation 05 social sciences Thermal power station Time resolution 02 engineering and technology Function (mathematics) Decision problem Electric power system 0502 economics and business Thermal 0202 electrical engineering electronic engineering information engineering |
| Zdroj: | 2019 IEEE Electrical Power and Energy Conference (EPEC). |
| Popis: | This paper presents a framework for long-term price forecasting in hydro-thermal power systems comprising two modeling layers. A long-term hydro-thermal model expresses the expected future cost as a function of hydro reservoir levels to a short-term operational model. The short-term model re-optimizes the weekly decision problem with more details and a finer time resolution. To cope with the high computation times, we decompose the weekly decision problem into daily sub-problems by interpolating in the weekly cost functions from the long-term model. The short-term model is refined by adding detailed constraints on the operation of thermal power plants. We assess the importance of detailed modeling of thermal power plants in a case study of the Nordic power system. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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