5th International Conference in Industrial and Mechanical Engineering and Operations Management (IMEOM)

A Study to Propose an Optimized Home Load Energy Management System by Dwelling Model Using Informative Control Module

Sarkar Sudipta Shekhar Supta, Md. Arafat Ul Ferdoush & Sonia Akhter
Publisher: IEOM Society International
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Track: Energy Management
Abstract

To accomplish sustainable goals in the home environment, the control side must manage electrical loads as efficiently as possible. In order to prevent system failure, load shedding is the "skill" of regulating load demand by reducing loads in instances where the demand is greater than the total generation. Even though power companies advise customers to limit their usage during peak hours on their monthly usage, neither the customers nor the utilities are aware of this. It is obvious how time-consuming and exhausting it is to manually turn on and off the high load during peak and off-peak hours and remind consumers when those times are. The current study suggests a control strategy based on a suitable load definition, context awareness of user behaviors, and the persuasion skills of ubiquitous systems. Beyond other advantages, the primary goal is to improve the scenario of load shading. This work refers a hardware prototype to validate the suggested control module. The findings demonstrate that the suggested plan enables effective peak shaving during the day. Electric utilities in developing nations may swiftly deploy the suggested system as a single extra instrument or bridge to existing energy meters in order to reverse the load shedding trend.

Published in: 5th International Conference in Industrial and Mechanical Engineering and Operations Management (IMEOM), Dhaka, Bangladesh

Publisher: IEOM Society International
Date of Conference: December 26-27, 2022

ISBN: 979-8-3507-0541-6
ISSN/E-ISSN: 2691-7726