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

    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

    Share

    COinS