2018Unpublished venueRequires access

Domestic electrical load management in smart grids and classification of residential loads

Onur Ayan, Belgin Emre Türkay

Open publisher page 33 citations

Abstract

Peak demand is an important problem in the electricity grid and this problem was generally solved by supply side management in the past. However, nowadays the demand side management sources have taken attention due to economic and environmental constraints. Normally, reliable electricity supply to customer can be maintained by either increasing the network capacity (supply side management) or reducing the peak electricity demand on the network (demand side management) but reducing electricity consumption within demand side management rather than increasing network capacity provides operational and financial benefits to countries. Demand response in the residential sector can plan an important role in reducing peak demand. For this reason, in this study, load management system was carried out in order to analyze effects of demand response for residential area using Matlab/Simulink. Some residential loads were shifted to off- peak hours using load management system in order to reduce peak demand and electricity bill saving which can be gained through energy management system was analyzed on consumers. Additionally, a comprehensive study of the classification of residential loads was analyzed in this work.

About this research paper

What this paper is about

Peak demand is an important problem in the electricity grid and this problem was generally solved by supply side management in the past. However, nowadays the demand side management sources have taken attention due to economic and environmental constraints. Normally, reliable electricity supply to customer can be maintained by either increasing the network capacity (supply side management) or reducing the peak electricity demand on the network (demand side management) but reducing electricity consumption within demand side management rather than increasing network capacity provides operational and financial benefits to countries. Demand response in the residential sector can plan an important role in reducing peak demand. For this reason, in this study, load management system was carried out in order to analyze effects of demand response for residential area using Matlab/Simulink. Some residential loads were shifted to off- peak hours using load management system in order to reduce peak demand and electricity bill saving which can be gained through energy management system was analyzed on consumers. Additionally, a comprehensive study of the classification of residential loads was analyzed in this work.

Why it matters

OpenAlex reports 33 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Peak demand is an important problem in the electricity grid and this problem was generally solved by supply side management in the past. However, nowadays the demand side management sources have taken attention due to economic and environmental constraints. Normally, reliable electricity supply to customer can be maintained by either increasing the network capacity (supply side management) or reducing the peak electricity demand on the network (demand side management) but reducing electricity consumption within demand side management rather than increasing network capacity provides operational and financial benefits to countries. Demand response in the residential sector can plan an important role in reducing peak demand. For this reason, in this study, load management system was carried out in order to analyze effects of demand response for residential area using Matlab/Simulink. Some residential loads were shifted to off- peak hours using load management system in order to reduce peak demand and electricity bill saving which can be gained through energy management system was analyzed on consumers. Additionally, a comprehensive study of the classification of residential loads was analyzed in this work.

Key concepts: Demand management, Load management, Smart grid, Peak demand, Electricity, Demand response, Environmental economics, Demand side

Related papers

Back to paper searchBrowse research topicsOriginal source
Domestic electrical load management in smart grids and classification of residential loads — Research Paper | ScholarLens