Title of article
Neural network controller for Active Demand-Side Management with PV energy in the residential sector
Author/Authors
E. Matallanas a، نويسنده , , E. and Castillo-Cagigal، نويسنده , , M. and Gutiérrez، نويسنده , , A. and Monasterio-Huelin، نويسنده , , F. and Caamaٌo-Martيn، نويسنده , , E. and Masa، نويسنده , , D. and Jiménez-Leube، نويسنده , , J.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2012
Pages
8
From page
90
To page
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
Distributed energy , demand-side management , Artificial neural network , PV systems , CONTROL SYSTEM , genetic algorithm
Journal title
Applied Energy
Serial Year
2012
Journal title
Applied Energy
Record number
1605158
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