A mathematical model for the investment of power generation with variable renewable energy sources
A mixed integer programming model is developed for a power system capacity expansion problem which considers the renewable energy as the main source of supply. The optimization model determines the renewable power plants candidate for investment and the least - cost mix of capacity between biomass,...
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| Main Authors: | , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2015
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/5537 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | A mixed integer programming model is developed for a power system capacity expansion problem which considers the renewable energy as the main source of supply. The optimization model determines the renewable power plants candidate for investment and the least - cost mix of capacity between biomass, hydro, wind, solar and geothermal power plants. The intermittent characteristics of renewable energy is integrated in the model by rearranging the load duration curve according to the unavailability of each renewable plant. To facilitate the use of a mathematical programming model, the continuous curve is approximated by piecewise function corresponding to a mode of operation. The operation mode is characterized depending on the unavailability of the renewable technologies. The result of this study could be used for both short term and long term planning wherein the system achieves a sustainable capacity that reducing the cases of unexpected shortage of supply in a specific time period. |
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