Simulation of electrical markets as smart grid emerges
Modern societies have become increasingly dependent on electric power for a plethora of uses and activities on a daily basis. The electrical power grid is the network that ensures electricity is delivered to users to carry out their activities. However, the existing power grid has become inefficient...
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project |
Language: | English |
Published: |
2015
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/64700 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-64700 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-647002023-07-07T16:11:44Z Simulation of electrical markets as smart grid emerges Lim, Michelle Mei Xian Hu Guoqiang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electric power Modern societies have become increasingly dependent on electric power for a plethora of uses and activities on a daily basis. The electrical power grid is the network that ensures electricity is delivered to users to carry out their activities. However, the existing power grid has become inefficient over the years due to the rising demand for electric power, and nations face an increasing need to provide more reliable and stable supply to satisfy all users. With the advent of technology, the smart grid has emerged to overcome the challenges of a traditional grid and enabled important national objectives to be fulfilled. This thesis explores the response strategies taken in the smart grid to improve the power supply provided for users, and also provides case studies for selected strategies, so as to prove that these strategies are indeed effective and beneficial. Bachelor of Engineering 2015-05-29T06:39:36Z 2015-05-29T06:39:36Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/64700 en Nanyang Technological University 88 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::Electric power |
spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering::Electric power Lim, Michelle Mei Xian Simulation of electrical markets as smart grid emerges |
description |
Modern societies have become increasingly dependent on electric power for a plethora of uses and activities on a daily basis. The electrical power grid is the network that ensures electricity is delivered to users to carry out their activities. However, the existing power grid has become inefficient over the years due to the rising demand for electric power, and nations face an increasing need to provide more reliable and stable supply to satisfy all users. With the advent of technology, the smart grid has emerged to overcome the challenges of a traditional grid and enabled important national objectives to be fulfilled. This thesis explores the response strategies taken in the smart grid to improve the power supply provided for users, and also provides case studies for selected strategies, so as to prove that these strategies are indeed effective and beneficial. |
author2 |
Hu Guoqiang |
author_facet |
Hu Guoqiang Lim, Michelle Mei Xian |
format |
Final Year Project |
author |
Lim, Michelle Mei Xian |
author_sort |
Lim, Michelle Mei Xian |
title |
Simulation of electrical markets as smart grid emerges |
title_short |
Simulation of electrical markets as smart grid emerges |
title_full |
Simulation of electrical markets as smart grid emerges |
title_fullStr |
Simulation of electrical markets as smart grid emerges |
title_full_unstemmed |
Simulation of electrical markets as smart grid emerges |
title_sort |
simulation of electrical markets as smart grid emerges |
publishDate |
2015 |
url |
http://hdl.handle.net/10356/64700 |
_version_ |
1772826087816953856 |