Notice of Violation of IEEE Publication PrinciplesFuzzy based energy management system for a polygeneration microgrid

Notice of Violation of IEEE Publication Principles

"Fuzzy Based Energy Management System for a Polygeneration Microgrid"
by Nimitha Rose Peter and M. Ramesh Babu
in the Proceedings of the International Conference on Information Communication and Embedded Systems (ICICES), February 2014

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE???s Publication Principles.

This paper contains content copied from the paper cited below. Figures and text were copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

"A Fuzzy Logic Energy Management System for Polygeneration Microgrids???
by George Kyriakarakos, Anastasios I. Dounis, Konstantinos G. Arvanitis, and George Papadakis,

in Renewable Energy, Volume 41, May 2012, pp. 315-327This paper presents the design and testing of Fuzzy Logic Energy Management System (FLEMS) for an autonomous polygeneration microgrid in India. The components of the microgrid include a PV array, wind turbine, battery bank, a Proton Exchange Membrane fuel cell, an electrolyzer, a metal hydride tank, a reverse osmosis desalination unit using energy recovery and a control system. The microgrid covers the electricity, transport and water needs of the remote area and thus its products are power, hydrogen as transportation fuel and potable water through desalination. A new approach based on fuzzy logic is designed and tested through simulation in MATLAB. The Fuzzy Logic approach can simplify the management and control of the microgrid, given its complexity. FLEMS operates in two levels and is implemented. The Top Level Fuzzy Logic System (TLFLS) and three subsystems are the FLEMS levels. The system is tested for different weather patterns in a year in India and analyzed. It checks constantly the energy flows in the syst- m and decides which devices to activate and deactivate. With FLEMS we can observe reliability and efficient power fluctuation handling.