Residential demand side scheduling considering different types of home appliances

Today’s power system faces a problem with penetration of intermittent renewable energy sources. Traditionally, supply side must respond to the demand side for the efficiency of the grid. Intermittent renewable energy sources are unable to respond to the demand side. Therefore, the situation needs to...

Full description

Saved in:
Bibliographic Details
Main Author: Poh, Jun Jie
Other Authors: Gooi Hoay Beng
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77989
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-77989
record_format dspace
spelling sg-ntu-dr.10356-779892023-07-07T16:44:22Z Residential demand side scheduling considering different types of home appliances Poh, Jun Jie Gooi Hoay Beng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Today’s power system faces a problem with penetration of intermittent renewable energy sources. Traditionally, supply side must respond to the demand side for the efficiency of the grid. Intermittent renewable energy sources are unable to respond to the demand side. Therefore, the situation needs to change with demand side responding to the supply side. Demand Response (DR) has been introduced to the smart grid, which aims to lower electricity demand during peak period or when system reliability is jeopardised. Residential consumers take up to 15% of the total electricity consumption, which makes residential DR play an important role. Residential DR is achieved through the DR technique of load shifting to lower peak period to flatten the demand curve. The incentive of doing so is the lower electricity prices in the off-peak period.   Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-11T01:05:53Z 2019-06-11T01:05:53Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77989 en Nanyang Technological University 58 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Electrical and electronic engineering
spellingShingle DRNTU::Engineering::Electrical and electronic engineering
Poh, Jun Jie
Residential demand side scheduling considering different types of home appliances
description Today’s power system faces a problem with penetration of intermittent renewable energy sources. Traditionally, supply side must respond to the demand side for the efficiency of the grid. Intermittent renewable energy sources are unable to respond to the demand side. Therefore, the situation needs to change with demand side responding to the supply side. Demand Response (DR) has been introduced to the smart grid, which aims to lower electricity demand during peak period or when system reliability is jeopardised. Residential consumers take up to 15% of the total electricity consumption, which makes residential DR play an important role. Residential DR is achieved through the DR technique of load shifting to lower peak period to flatten the demand curve. The incentive of doing so is the lower electricity prices in the off-peak period.  
author2 Gooi Hoay Beng
author_facet Gooi Hoay Beng
Poh, Jun Jie
format Final Year Project
author Poh, Jun Jie
author_sort Poh, Jun Jie
title Residential demand side scheduling considering different types of home appliances
title_short Residential demand side scheduling considering different types of home appliances
title_full Residential demand side scheduling considering different types of home appliances
title_fullStr Residential demand side scheduling considering different types of home appliances
title_full_unstemmed Residential demand side scheduling considering different types of home appliances
title_sort residential demand side scheduling considering different types of home appliances
publishDate 2019
url http://hdl.handle.net/10356/77989
_version_ 1772825199643721728