This paper is published in Volume-7, Issue-6, 2021
Area
Electrical Engineering
Author
Harjeet Singh, Puneet Jain
Org/Univ
Adesh Institute of Engineering and Technology, Faridkot, Punjab, India
Keywords
Smart Grid, Particle Swarm Optimisation, Energy Management, Bat Algorithm
Citations
IEEE
Harjeet Singh, Puneet Jain. Energy management in smart grid using hybrid combination of bat and particle swarm optimization algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Harjeet Singh, Puneet Jain (2021). Energy management in smart grid using hybrid combination of bat and particle swarm optimization algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 7(6) www.IJARIIT.com.
MLA
Harjeet Singh, Puneet Jain. "Energy management in smart grid using hybrid combination of bat and particle swarm optimization algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 7.6 (2021). www.IJARIIT.com.
Harjeet Singh, Puneet Jain. Energy management in smart grid using hybrid combination of bat and particle swarm optimization algorithm, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
Harjeet Singh, Puneet Jain (2021). Energy management in smart grid using hybrid combination of bat and particle swarm optimization algorithm. International Journal of Advance Research, Ideas and Innovations in Technology, 7(6) www.IJARIIT.com.
MLA
Harjeet Singh, Puneet Jain. "Energy management in smart grid using hybrid combination of bat and particle swarm optimization algorithm." International Journal of Advance Research, Ideas and Innovations in Technology 7.6 (2021). www.IJARIIT.com.
Abstract
In order to implement the increasing rate of demand in the residential sector and also that to facilitate the overall integration of the renewable resources and that the plug-in of the electrical set of vehicles within the future if the smarter grids. This particular set of papers proposes a proper set of framework for the home energy management system or the HEMS and that of the optimizations of the algorithms which is based upon the hybrid combination of BAT and PSO algorithm. The simulation is performed in MATLAB and various performance metrics are calculated for it. The result shows that the proposed method reduces 76.04% and 55.31% cost factor as compared to the actual load for 3 and 5 devices. Further, the proposed method reduces 59.81% and 38.59% cost factors as compared to Sisodiya et al. [12].