This paper is published in Volume-7, Issue-1, 2021
Area
Electrical Engineering
Author
Navdeep Singh Dhaliwal, Puneet Jain
Org/Univ
Adesh Institute of Engineering and Technology, Faridkot, Punjab, India
Pub. Date
22 January, 2021
Paper ID
V7I1-1181
Publisher
Keywords
Bat Algorithm, Demand Side Management, Particle Swarm Optimization, Smart Grid

Citationsacebook

IEEE
Navdeep Singh Dhaliwal, Puneet Jain. Hybrid the bat and particle swarm optimization for demand-side management in the smart grid, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Navdeep Singh Dhaliwal, Puneet Jain (2021). Hybrid the bat and particle swarm optimization for demand-side management in the smart grid. International Journal of Advance Research, Ideas and Innovations in Technology, 7(1) www.IJARIIT.com.

MLA
Navdeep Singh Dhaliwal, Puneet Jain. "Hybrid the bat and particle swarm optimization for demand-side management in the smart grid." International Journal of Advance Research, Ideas and Innovations in Technology 7.1 (2021). www.IJARIIT.com.

Abstract

The main goal of the demand side management program is shaping the load demand from peak load period to off-load period to reduce the generation cost. In the literature, various types of load shaping objectives available such as load shifting, valley filling, and peak clipping. In this paper, two optimization algorithms hybrid for load shaping. We have considered the BAT and Particle Swarm Optimization (PSO) algorithms in our work. These algorithms turn on/off the devices in an optimal way to reduce the cost and load consumption. The algorithm is simulated in MATLAB for two case studies in which 3 and 5 devices are taken under consideration. We have measured the total load consumption, cost, and execution time for the proposed algorithm and compared it with the existing algorithms. The results show that the proposed algorithm provides less load consumption and cost as compared to Normal ON-OFF and PSO algorithm.
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