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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The University of Lahore
2019-08-01
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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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1724338994318147584 |