Islanding detection in microgrid

Renewable energy has become widely available today. This has made consumers with options of alternative energy sources. Distribution Generations (DG) not only let consumers provide energy to their system but also sell it to the national grid if there is a surplus of supply. In Singapore, this has ma...

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Main Author: Muhammad Mubarak Syed Ahmad
Other Authors: So Ping Lam
Format: Final Year Project
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/10356/75037
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-750372023-07-07T17:35:50Z Islanding detection in microgrid Muhammad Mubarak Syed Ahmad So Ping Lam School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering Renewable energy has become widely available today. This has made consumers with options of alternative energy sources. Distribution Generations (DG) not only let consumers provide energy to their system but also sell it to the national grid if there is a surplus of supply. In Singapore, this has made the electricity market competitive. Islanding detection methods in microgrids are used to detect imbalance power flow between the consumer side and main grid. Once detected, the isolated microgrid will need to support the load. The disconnection from the main grid can cause fluctuation of parameters such as voltage, frequency, phase angle, etc. Microgrid needs ensure the deviation does not affect the load. During islanding, the reduction of supply may not support the load. As such, load shedding of energy storage system may be needed to compensate the losses. In this project, we look into the case studies on how the microgrid will react after islanding operation. The effects of energy storage system are on compensating the losses of the main grid and response of the load if supply is not enough to support. Bachelor of Engineering 2018-05-28T01:11:55Z 2018-05-28T01:11:55Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75037 en Nanyang Technological University 56 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
Muhammad Mubarak Syed Ahmad
Islanding detection in microgrid
description Renewable energy has become widely available today. This has made consumers with options of alternative energy sources. Distribution Generations (DG) not only let consumers provide energy to their system but also sell it to the national grid if there is a surplus of supply. In Singapore, this has made the electricity market competitive. Islanding detection methods in microgrids are used to detect imbalance power flow between the consumer side and main grid. Once detected, the isolated microgrid will need to support the load. The disconnection from the main grid can cause fluctuation of parameters such as voltage, frequency, phase angle, etc. Microgrid needs ensure the deviation does not affect the load. During islanding, the reduction of supply may not support the load. As such, load shedding of energy storage system may be needed to compensate the losses. In this project, we look into the case studies on how the microgrid will react after islanding operation. The effects of energy storage system are on compensating the losses of the main grid and response of the load if supply is not enough to support.
author2 So Ping Lam
author_facet So Ping Lam
Muhammad Mubarak Syed Ahmad
format Final Year Project
author Muhammad Mubarak Syed Ahmad
author_sort Muhammad Mubarak Syed Ahmad
title Islanding detection in microgrid
title_short Islanding detection in microgrid
title_full Islanding detection in microgrid
title_fullStr Islanding detection in microgrid
title_full_unstemmed Islanding detection in microgrid
title_sort islanding detection in microgrid
publishDate 2018
url http://hdl.handle.net/10356/75037
_version_ 1772828583786446848