Published November 2015 | Version v1
Journal article

A new home energy management algorithm with voltage control in a smart home environment

Description

Energy management in electrical systems is one of the important issues for energy efficiency and future grid systems. Energy management is defined as a HEM (home energy management) on the residential consumer side. The HEM system plays a key role in residential demand response applications. In this study, a new HEM algorithm is proposed for smart home environments to reduce peak demand and increase the energy efficiency. The proposed algorithm includes VC (voltage control) methodology to reduce the power consumption of residential appliances so that the shifting of appliances is minimized. The results of the survey are used to produce representative load profiles for a weekday and for a weekend. Then, case studies are completed to test the proposed HEM algorithm in reducing the peak demand in the house. The main aim of the proposed HEM algorithm is to minimize the number of turned-off appliances to decrease demand so that the customer comfort is maximized. The smart home laboratory at Yildiz Technical University, Istanbul, Turkey is used in case studies. Experimental results show that the proposed HEM algorithm reduces the peak demand by 17.5% with the voltage control and by 38% with both the voltage control and the appliance shifting. - Highlights: • A new HEM (home energy management) algorithm is proposed. • Voltage control in the HEM is introduced as a solution for peak load reduction. • Customer comfort is maximized by minimizing the number of turned-off appliances. • The proposed HEM algorithm is experimentally validated at a smart home laboratory. • A survey is completed to produce typical load profiles of a Turkish family.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.energy.2015.08.094

Additional details

Identifiers

DOI
10.1016/j.energy.2015.08.094;
PII
S0360-5442(15)01170-6;

Publishing Information

Journal Title
Energy (Oxford)
Journal Volume
91
Journal Page Range
p. 720-731
ISSN
0360-5442
CODEN
ENEYDS

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
48003730
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
ALGORITHMS; APPLIANCES; CONTROL; ELECTRIC POTENTIAL; ENERGY CONSUMPTION; ENERGY DEMAND; ENERGY EFFICIENCY; ENERGY MANAGEMENT; ENVIRONMENT; GRIDS; HOUSES; PEAK LOAD; TURKEY
Descriptors DEC
ASIA; BUILDINGS; DEMAND; DEVELOPING COUNTRIES; EFFICIENCY; ELECTRODES; EQUIPMENT; MANAGEMENT; MATHEMATICAL LOGIC; MIDDLE EAST; RESIDENTIAL BUILDINGS

Optional Information

Copyright
Copyright (c) 2015 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.