Optimizing Electricity Load and Cost for Demand Side Management in Smart Grid

This paper proposes a mechanism for OELC (Optimizing Electricity Load and Cost) for smart grid. The load of every smart home is predicted one-hour prior to their actual usage. To fulfill PL (Predicted Load) of each consumer, multiple resources of electricity are considered, including RE (Renewable E...

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Main Authors: Ayesha Afzaal, Mohsin Nazir
Format: Article
Language:English
Published: Mehran University of Engineering and Technology 2018-10-01
Series:Mehran University Research Journal of Engineering and Technology
Online Access:http://publications.muet.edu.pk/index.php/muetrj/article/view/586
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author Ayesha Afzaal
Mohsin Nazir
author_facet Ayesha Afzaal
Mohsin Nazir
author_sort Ayesha Afzaal
collection DOAJ
description This paper proposes a mechanism for OELC (Optimizing Electricity Load and Cost) for smart grid. The load of every smart home is predicted one-hour prior to their actual usage. To fulfill PL (Predicted Load) of each consumer, multiple resources of electricity are considered, including RE (Renewable Energy) resources. Furthermore, cost to get PL from multiple resources is calculated. In proposed model 3-4 smart homes are grouped in the form of clusters. To reduce the amount of electricity bills, system also allows privileges to share electricity between adjacent smart homes within a cluster. To validate the OELC mechanism, extensive numerical simulations are conducted which shows a significant reduction in electricity load and cost for electricity consumers. In future, to enhance the functionality of OELC, security from cyber-attacks can be considered
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spelling doaj.art-79bd8999d1a148cdb4bb546b23ef3e422022-12-22T00:33:26ZengMehran University of Engineering and TechnologyMehran University Research Journal of Engineering and Technology0254-78212413-72192018-10-0137463364410.22581/muet1982.1804.15586Optimizing Electricity Load and Cost for Demand Side Management in Smart GridAyesha Afzaal0Mohsin Nazir1Lahore College for Women University, Lahore, Pakistan.Lahore College for Women University, Lahore, PakistanThis paper proposes a mechanism for OELC (Optimizing Electricity Load and Cost) for smart grid. The load of every smart home is predicted one-hour prior to their actual usage. To fulfill PL (Predicted Load) of each consumer, multiple resources of electricity are considered, including RE (Renewable Energy) resources. Furthermore, cost to get PL from multiple resources is calculated. In proposed model 3-4 smart homes are grouped in the form of clusters. To reduce the amount of electricity bills, system also allows privileges to share electricity between adjacent smart homes within a cluster. To validate the OELC mechanism, extensive numerical simulations are conducted which shows a significant reduction in electricity load and cost for electricity consumers. In future, to enhance the functionality of OELC, security from cyber-attacks can be consideredhttp://publications.muet.edu.pk/index.php/muetrj/article/view/586
spellingShingle Ayesha Afzaal
Mohsin Nazir
Optimizing Electricity Load and Cost for Demand Side Management in Smart Grid
Mehran University Research Journal of Engineering and Technology
title Optimizing Electricity Load and Cost for Demand Side Management in Smart Grid
title_full Optimizing Electricity Load and Cost for Demand Side Management in Smart Grid
title_fullStr Optimizing Electricity Load and Cost for Demand Side Management in Smart Grid
title_full_unstemmed Optimizing Electricity Load and Cost for Demand Side Management in Smart Grid
title_short Optimizing Electricity Load and Cost for Demand Side Management in Smart Grid
title_sort optimizing electricity load and cost for demand side management in smart grid
url http://publications.muet.edu.pk/index.php/muetrj/article/view/586
work_keys_str_mv AT ayeshaafzaal optimizingelectricityloadandcostfordemandsidemanagementinsmartgrid
AT mohsinnazir optimizingelectricityloadandcostfordemandsidemanagementinsmartgrid