Demand side Management for SMART Grid

In this paper, we are going to suggest a prominent feature of smart Grid i.e. Demand side management. Smart grid is up to date facility used for bi-communication system of Generation, transmission and consumption. The fundamental principle of smart grid is demand response analysis. For supposition,...

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Main Authors: Hasnain Atif, Hafiz Tehzeeb ul Hassan
Format: Article
Language:English
Published: The University of Lahore 2019-08-01
Series:Pakistan Journal of Engineering & Technology
Subjects:
Online Access:https://sites2.uol.edu.pk/journals/index.php/pakjet/article/view/68
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spelling doaj-f93484fac73a4419916add06ed828c7c2021-01-13T13:48:24ZengThe University of LahorePakistan Journal of Engineering & Technology2664-20422664-20502019-08-0121917Demand side Management for SMART GridHasnain Atif0Hafiz Tehzeeb ul Hassan1The University of LahoreThe University of LahoreIn this paper, we are going to suggest a prominent feature of smart Grid i.e. Demand side management. Smart grid is up to date facility used for bi-communication system of Generation, transmission and consumption. The fundamental principle of smart grid is demand response analysis. For supposition, we focus on three type of frequently used load which are base, continuous and discrete load. A sufficient volume of load in the form of diversified appliance of different power rating would be considered. Our main objective is the reduction of peak to average ratio enhances the efficiency of smart grid. For this, a revived scheme of electricity consumption pattern is required keeping in consideration reliability, feasibility and user preference. Subsequently, it will decrease the electricity production and consumption cost. Increasing the number of appliances would complicate the problem to some extent so making it more challenging. In theoretical work small numbers of appliances are taken. Genetic algorithm would be used to solve this specific problem. Simulation results would show the prove that there is an ultimate reduction in the cost by using the algorithm.https://sites2.uol.edu.pk/journals/index.php/pakjet/article/view/68genetic algorithm; load scheduling; smart grid; energy management; demand side management
collection DOAJ
language English
format Article
sources DOAJ
author Hasnain Atif
Hafiz Tehzeeb ul Hassan
spellingShingle Hasnain Atif
Hafiz Tehzeeb ul Hassan
Demand side Management for SMART Grid
Pakistan Journal of Engineering & Technology
genetic algorithm; load scheduling; smart grid; energy management; demand side management
author_facet Hasnain Atif
Hafiz Tehzeeb ul Hassan
author_sort Hasnain Atif
title Demand side Management for SMART Grid
title_short Demand side Management for SMART Grid
title_full Demand side Management for SMART Grid
title_fullStr Demand side Management for SMART Grid
title_full_unstemmed Demand side Management for SMART Grid
title_sort demand side management for smart grid
publisher The University of Lahore
series Pakistan Journal of Engineering & Technology
issn 2664-2042
2664-2050
publishDate 2019-08-01
description In this paper, we are going to suggest a prominent feature of smart Grid i.e. Demand side management. Smart grid is up to date facility used for bi-communication system of Generation, transmission and consumption. The fundamental principle of smart grid is demand response analysis. For supposition, we focus on three type of frequently used load which are base, continuous and discrete load. A sufficient volume of load in the form of diversified appliance of different power rating would be considered. Our main objective is the reduction of peak to average ratio enhances the efficiency of smart grid. For this, a revived scheme of electricity consumption pattern is required keeping in consideration reliability, feasibility and user preference. Subsequently, it will decrease the electricity production and consumption cost. Increasing the number of appliances would complicate the problem to some extent so making it more challenging. In theoretical work small numbers of appliances are taken. Genetic algorithm would be used to solve this specific problem. Simulation results would show the prove that there is an ultimate reduction in the cost by using the algorithm.
topic genetic algorithm; load scheduling; smart grid; energy management; demand side management
url https://sites2.uol.edu.pk/journals/index.php/pakjet/article/view/68
work_keys_str_mv AT hasnainatif demandsidemanagementforsmartgrid
AT hafiztehzeebulhassan demandsidemanagementforsmartgrid
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