A robust optimization-based model predictive control of the energy management within grid-connected microgrids
"This master thesis presents an operational strategy for a microgrid-connected wayside energy storage device within a light rail application. This strategy is based on a mixedinteger linear program optimization formulated over a rolling horizon framework; the optimization takes into account for...
Guardado en:
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| Formato: | Tesis de maestría |
| Lenguaje: | Inglés |
| Publicado: |
2018
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| Acceso en línea: | http://ri.itba.edu.ar/handle/123456789/1153 |
| Aporte de: |
| Sumario: | "This master thesis presents an operational strategy for a microgrid-connected wayside energy storage device within a light rail application. This strategy is based on a mixedinteger linear program optimization formulated over a rolling horizon framework; the optimization takes into account forecasted values for renewable energy generation and electricity usage within the microgrid, as well as the prices for energy exchange with the main distribution grid. Robust optimization theory is used to create a robust counterpart formulation of the optimization problem so that the uncertainties present in forecasted values are handled." |
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