Data analytics for active girds

Data analytics for active girds

The integration of generators reliant on renewable energy sources has witnessed a notable increase in contemporary times, however, it introduces risks such as voltage drops and overloading to power systems. To mitigate such risks, the power flow study is of widely use. In this project, we will delve...

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Main Author: Fei, Siqi
Other Authors: Hung Dinh Nguyen
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Online Access:https://hdl.handle.net/10356/167447
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-167447
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spelling sg-ntu-dr.10356-1674472023-07-07T17:26:40Z Data analytics for active girds Fei, Siqi Hung Dinh Nguyen School of Electrical and Electronic Engineering hunghtd@ntu.edu.sg Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution The integration of generators reliant on renewable energy sources has witnessed a notable increase in contemporary times, however, it introduces risks such as voltage drops and overloading to power systems. To mitigate such risks, the power flow study is of widely use. In this project, we will delve into the power flow problems and demonstrate the effectiveness of linear regression as a mathematical tool to address these issues by performing evaluation and error analysis research. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-26T07:04:17Z 2023-05-26T07:04:17Z 2023 Final Year Project (FYP) Fei, S. (2023). Data analytics for active girds. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167447 https://hdl.handle.net/10356/167447 en W1200-222 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
spellingShingle Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Fei, Siqi
Data analytics for active girds
description The integration of generators reliant on renewable energy sources has witnessed a notable increase in contemporary times, however, it introduces risks such as voltage drops and overloading to power systems. To mitigate such risks, the power flow study is of widely use. In this project, we will delve into the power flow problems and demonstrate the effectiveness of linear regression as a mathematical tool to address these issues by performing evaluation and error analysis research.
author2 Hung Dinh Nguyen
author_facet Hung Dinh Nguyen
Fei, Siqi
format Final Year Project
author Fei, Siqi
author_sort Fei, Siqi
title Data analytics for active girds
title_short Data analytics for active girds
title_full Data analytics for active girds
title_fullStr Data analytics for active girds
title_full_unstemmed Data analytics for active girds
title_sort data analytics for active girds
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167447
_version_ 1772828984707383296

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