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Neural network controller for Active Demand-Side Management with PV energy in the residential sector

Author

Listed:
  • Matallanas, E.
  • Castillo-Cagigal, M.
  • Gutiérrez, A.
  • Monasterio-Huelin, F.
  • Caamaño-Martín, E.
  • Masa, D.
  • Jiménez-Leube, J.

Abstract

In this paper, we describe the development of a control system for Demand-Side Management in the residential sector with Distributed Generation. The electrical system under study incorporates local PV energy generation, an electricity storage system, connection to the grid and a home automation system. The distributed control system is composed of two modules: a scheduler and a coordinator, both implemented with neural networks. The control system enhances the local energy performance, scheduling the tasks demanded by the user and maximizing the use of local generation.

Suggested Citation

  • Matallanas, E. & Castillo-Cagigal, M. & Gutiérrez, A. & Monasterio-Huelin, F. & Caamaño-Martín, E. & Masa, D. & Jiménez-Leube, J., 2012. "Neural network controller for Active Demand-Side Management with PV energy in the residential sector," Applied Energy, Elsevier, vol. 91(1), pages 90-97.
    • Handle: RePEc:eee:appene:v:91:y:2012:i:1:p:90-97
    DOI: 10.1016/j.apenergy.2011.09.004
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    References listed on IDEAS

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