An Autonomous Home Energy Management System Using Dynamic Priority Strategy in Conventional Homes

Mohammad Shakeri,Nowshad Amin,Foo Wah Low,Chin Wei Lai,Sieh Kiong Tiong,Md Rokonuzzaman,Chong Kok Hen,Abolfazl Mehbodniya,Jagadeesh Pasupuleti,Nurul Asma Samsudin,Chong Tak Yaw,Nilofar Asim

doi:10.3390/en13133312

Abstract

With the growth in smart technology, customers have a chance to contribute to demand response programs and reduce their bills of electricity actively. This paper presents an intelligent wireless smart plug demonstration, which is designed to control the electrical appliances in the home energy management system (HEMS) application with a response to the utility company’s signal. Besides, a linear model of an energy management system utilizing a dynamic priority for electrical appliances is used as an energy management strategy. This can be useful for decreasing energy consumption in peak hours. Proposed hardware is tested with two different price strategies such as real-time pricing and a combination of this and incremental block rate (IBR) pricing. A small one-story house with ordinary electrical appliances is used as a test-bed for the proposed hardware and strategy. Initial results show that intelligent plugs can decrease the energy cost by 9% per day with an effective peak-to-average ratio deduction compared to the domicile without deploying intelligent plugs and controllers.

Highlights

In the smart-grid infrastructure, demand response programs help the customers to control their electricity bill and manage their electricity consumption
A linear dynamic priority for the operation of the electrical appliances is used as the home energy management system (HEMS) strategy, which is discussed in the previous section
A linear dynamic priority strategy is utilized in this project to decrease the energy consumption of the house

Summary

Introduction

In the smart-grid infrastructure, demand response programs help the customers to control their electricity bill and manage their electricity consumption. Smart homes nowadays are utilizing IoT-based sensors and controllers to monitor and manage the daily activities of the resident such as bathing, mealtime, working time, etc. The combination of IoT with the conventional grid and turning it into the smart grid is a new concept in the energy field that refers to electricity distribution, transmission, and demand and uses sophisticated monitoring and sensing technology as well as bidirectional communication between demand and production sections to manage the energy demand efficiently [6]. The home energy management system (HEMS) consists of sensors and controllers to aggregate the required information and control the electrical appliances based on the resident‘s comfort and related signals from utility companies

Methods

Findings

Discussion

Conclusion