Open AccessModeling and Simulation of a Control Algorithm for Home Energy Management System
Author(s) -
V. Vasudevan
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.d1088.1284s219
Subject(s) - microgrid , energy management system , renewable energy , computer science , photovoltaic system , firefly algorithm , energy storage , automotive engineering , energy management , battery (electricity) , controller (irrigation) , distributed generation , control engineering , energy (signal processing) , power (physics) , reliability engineering , engineering , electrical engineering , algorithm , mathematics , particle swarm optimization , statistics , physics , agronomy , quantum mechanics , biology
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.