Title

An Adaptive Cognition System for Smart Grids With Context Awareness and Fault Tolerance

Authors

Authors

H. M. Lugo-Cordero; R. K. Guha;E. I. Ortiz-Rivera

Comments

Authors: contact us about adding a copy of your work at STARS@ucf.edu

Abbreviated Journal Title

IEEE Trans. Smart Grid

Keywords

Context awareness; energy management; fault tolerant systems; green; design; hybrid power systems; smart grids; Engineering, Electrical & Electronic

Abstract

In recent years, smart grids have been a common interest for many consumers, because of their comfort, safety, robustness, and economic characteristics. This paper presents the development of a computational tool, as an adaptive cognition system for smart grids, having smart homes as their composing nodes. Such a tool has been named Smart Home Energy Aware-Preserver (SHEAP). SHEAP incorporates evolutionary computation algorithms, and communication protocols, to provide users with context awareness and fault tolerance. Moreover, SHEAP considers a smart home powered by solar and wind energy, as a small version of the smart grid. SHEAP demonstrates the benefits of having a smart home that can control the amount of power needed, according to the context of usage. Furthermore, SHEAP includes fault tolerant mechanisms to monitor and react on fault occurrences. Simulation shows that with a smart control of the load, the requirements for a green energy system are reduced. An economic analysis of the approach demonstrates the viability of the project reducing the usage of grid energy by utilizing green energy.

Journal Title

Ieee Transactions on Smart Grid

Volume

5

Issue/Number

3

Publication Date

1-1-2014

Document Type

Article

Language

English

First Page

1246

Last Page

1253

WOS Identifier

WOS:000335155800011

ISSN

1949-3053

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