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

被引:161
作者
Matallanas, E. [1 ]
Castillo-Cagigal, M. [1 ]
Gutierrez, A. [1 ]
Monasterio-Huelin, F. [1 ]
Caamano-Martin, E. [2 ]
Masa, D. [2 ]
Jimenez-Leube, J. [1 ]
机构
[1] Univ Politecn Madrid, ETSI Telecomunicac, E-28040 Madrid, Spain
[2] Univ Politecn Madrid, Inst Energia Solar, E-28040 Madrid, Spain
关键词
Demand-Side Management; Distributed energy; PV systems; Control system; Artificial Neural Network; Genetic algorithm; STORAGE; SYSTEM; BATTERIES;
D O I
10.1016/j.apenergy.2011.09.004
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
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. (C) 2011 Elsevier Ltd. All rights reserved.
引用
收藏
页码:90 / 97
页数:8
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