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

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

Applied Energy, 2012, vol. 91, issue 1, 90-97

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.

Keywords: Demand-Side Management; Distributed energy; PV systems; Control system; Artificial Neural Network; Genetic algorithm (search for similar items in EconPapers)
Date: 2012
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Citations: View citations in EconPapers (49)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:91:y:2012:i:1:p:90-97

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DOI: 10.1016/j.apenergy.2011.09.004

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