Robust economic model predictive control of a community micro- grid
In this paper we propose a novel economic robust predictive controller for periodic operation. The proposed controller joins dynamic and economic trajectory planning and robust predictive controller for tracking in a single layer taking into account bounded disturbances, algebraic constraints and pe...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2017 |
| País: | España |
| Institución: | Universidad Loyola Andalucía |
| Repositorio: | Brújula |
| OAI Identifier: | oai:repositorio.uloyola.es:20.500.12412/4844 |
| Acceso en línea: | https://hdl.handle.net/20.500.12412/4844 |
| Access Level: | acceso abierto |
| Palabra clave: | Distribution networks Bounded uncertainties Periodic control Economic control Model predictive control |
| Sumario: | In this paper we propose a novel economic robust predictive controller for periodic operation. The proposed controller joins dynamic and economic trajectory planning and robust predictive controller for tracking in a single layer taking into account bounded disturbances, algebraic constraints and periodic operation. We study the closed-loop system properties of the proposed controller and pro- vide a design procedure that guarantees that the perturbed closed-loop system converges asymp- totically to the optimal economic reachable periodic trajectory, constraint satisfaction and recursive feasibility. The proposed controller has been applied to control a cluster of interconnected micro- grids. Each nano-grid is connected to an electric utility and has a renewable energy source, a clus- ter of batteries and a metal hydride based hydrogen storage system. The cluster must satisfy a periodic energy demand while maximizing the profit of the energy sold to the electric utility taking into account time varying prices. |
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