IJBTT

Advanced Modeling and Optimization of Hybrid Renewable Energy Management Strategy Based on Artificial Bee Colony Algorithm in Micro Grid

Advanced Modeling and Optimization of Hybrid Renewable Energy Management Strategy Based on Artificial Bee Colony Algorithm in Micro Grid
	© 2022 by IJETT Journal
	Volume-70 Issue-10
	Year of Publication : 2022
	Authors : Vanam Satyanarayana, Vairavasamy Jayasankar
	DOI : 10.14445/22315381/IJETT-V70I10P232

How to Cite?

Vanam Satyanarayana, Vairavasamy Jayasankar, "Advanced Modeling and Optimization of Hybrid Renewable Energy Management Strategy Based on Artificial Bee Colony Algorithm in Micro Grid," International Journal of Engineering Trends and Technology, vol. 70, no. 10, pp. 329-338, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I10P232

Abstract
The energy demand is expanding on the planet, and looking for fossil fuel is done based on need. These fuels are not manageable; they pollute the climate. Due to a lack of fossil product assets and adverse climate influences, renewable energy sources (RES) were used as the foundation of solar energy. To execute demand reactions in industrial and residential areas and work with the coordination of renewable power resources, and plug in a future smart microgrid, this manuscript suggests a method of "energy management system (EMS)" and optimization technique for it dependent on a developed artificial bee colony (ABC). The ABC technique-based VSD and practical grid voltages for VSC frameworks are suggested in this manuscript. The suggested VSD and VSC are also dependent on ABC as conventional (GA-PSO)-based VSD, yet by including a 2W component eliminator (PSO has created a 2W component) and a committed genetic algorithm (GA), a very quick VSD time under practical grid voltage conditions is accomplished. The ABC method plans the tasks of schedulable loads as per the power utilized. The viability of a technique is confirmed by the swell, sag, and power elements that might be compensated.

Keywords
Smart microgrid, Genetic Algorithm (GA), Hybrid energy management system, Artificial bee colony (ABC), Particle swarm optimization (PSO), Emergency power supply (EPS), Voltage sag detection (VSD), Voltage sag compensation (VSC).

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