DocumentCode :
3582673
Title :
Design of adaptive electrical energy management systems for cost minimization
Author :
Ali, Tariq M. ; Saquib, Mohammad
Author_Institution :
Electr. Eng. Dept., Univ. of Texas at Dallas, Richardson, TX, USA
fYear :
2014
Firstpage :
518
Lastpage :
525
Abstract :
The objective of this paper is to model the power consumption trends of industrial or residential facilities, and design smart energy management mechanisms in order to reduce the energy cost. For a given set of components, and with minimal impact on the subjective human intervention, a substantial reduction of the energy cost can be achieved through smart energy management schemes that react to real-time power consumption patterns of the elements, instantaneous energy costs, and the availability of renewable energy. A complex system containing electrical elements with a wide array of functionalities (e.g. pre-loading, post-loading, time-flexible load distribution) and variables (physical factors, user intervention, variable energy prices) requires a rigorous formulation of the energy management scheme. The optimum combination of the time-balancing of loads is derived, and an adaptive energy management scheme is designed that can both sense an imminent change in the trend, and adjust the loading mechanism accordingly.
Keywords :
cost reduction; energy management systems; power consumption; adaptive electrical energy management system design; complex system; cost minimization; electrical elements; energy cost reduction; industrial facilities; instantaneous energy costs; load time-balancing; power consumption trends; renewable energy; residential facilities; smart energy management mechanisms; Erbium; Load management; Load modeling; Loading; Market research; Power demand; Adaptive control; dynamic programming; energy management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Information Technology (ICCIT), 2014 17th International Conference on
Type :
conf
DOI :
10.1109/ICCITechn.2014.7073148
Filename :
7073148
Link To Document :
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