Modeling and Simulation of a Control Algorithm for Home Energy Management System
Nisha.V1, V. Vasudevan2, A. Ram Kumar3
1Ms. Nisha. V, Department of Electrical and Electronics Engineering, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
2Dr. V. Vasudevan, Information Technology, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
3Dr. A. Ram Kumar, Department of Electrical and Electronics Engineering, Kalasalingam Academy of Research and Education College, Krishnankoil (Tamil Nadu), India.
Manuscript received on 30 November 2019 | Revised Manuscript received on 19 December 2019 | Manuscript Published on 31 December 2019 | PP: 396-399 | Volume-8 Issue-4S2 December 2019 | Retrieval Number: D10881284S219/2019©BEIESP | DOI: 10.35940/ijrte.D1088.1284S219
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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: Microgrids are handy units for a utility since their units such as distributed energy resources (DER) and loads can able to control the power ingestion or production. Moreover, it is used to assimilate renewable energy resources (RES) to small distribution systems. Battery energy storage systems (BESSs) are employed to recompense the sporadic output of RES. Similarly, DC microgrid for a home can be excellently controlled by an energy management system (EMS) using fuzzy logic controller (FLC) of 25-rules alone to control the power flow. The system has photovoltaic (PV), Fuel Cell (FC) and battery energy storage (BES). This study aims to introduce firefly algorithm (FA) to optimize FLC in order to increase the system energy saving efficiency and to reduce the cost.
Keywords: BES, Microgrid, EMS, FLC, FA.
Scope of the Article: VLSI Algorithms