Integrated Renewable Energy Sources with EMS using Fuzzy Control and WSN for Smart Grid Applications
A. Albert Martin Ruban1, R. Anandaraj2, K. Selvakumar3, N. Kannan4
1A.Albert Martin Ruban, Research Scholar, Associate Professor, Manonmaiam Sundaranar University, Tirunelveli Kings College of Engineering, Pudukkottai (Tamil Nadu), India.
2R.Anandaraj, Research Scholar, Associate Professor, Manonmaiam Sundaranar University, Tirunelveli EGSPEC, Nagappattinam (Tamil Nadu), India.
3K.Selvakumar, Associate Professor, Annamalai University, Chidambaram (Tamil Nadu), India.
4N.Kannan, Principal, Jayaram College of Engineering, Thuraiyur (Tamil Nadu), India.
Manuscript received on 17 July 2017 | Revised Manuscript received on 24 July 2017 | Manuscript Published on 30 July 2017 | PP: 9-14 | Volume-6 Issue-11, July 2017 | Retrieval Number: K24500761117/17©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper deals with the integrated renewable energy sources with EMS using fuzzy control for smart grid applications. This paper comprised of power supply which obtains its power from the green energy resources, which includes solar, wind, and fuel cell. The modeling of the above mentioned generating system and storage device was simulated by using MATLAB/ Simulink. The RS 485 ZigBee network, a communication protocol employed to monitor and command the EMS. The fuzzy employed to manage the battery.
Keywords: EMS, Fuzzy Control, Smart Grid, Solar, Wind, Fuel Cell, Zigbee, Renewable Energy.
Scope of the Article: Smart Grid Communications