Smart hybrid AC/DC distribution network - part II

In-order to modernize our current traditional grid to a smart hybrid AC/DC bus system, this paper identifies three existing aspects of our AC grid system. Firstly, this study aims to identify the driving factors for peak demand with respect to the different consumer groups: “residential”, “comm...

Full description

Saved in:
Bibliographic Details
Main Author: Ng, Benedict Keng Chuan
Other Authors: Wang Peng
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157949
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-157949
record_format dspace
spelling sg-ntu-dr.10356-1579492023-07-07T19:18:28Z Smart hybrid AC/DC distribution network - part II Ng, Benedict Keng Chuan Wang Peng School of Electrical and Electronic Engineering epwang@ntu.edu.sg Engineering::Electrical and electronic engineering In-order to modernize our current traditional grid to a smart hybrid AC/DC bus system, this paper identifies three existing aspects of our AC grid system. Firstly, this study aims to identify the driving factors for peak demand with respect to the different consumer groups: “residential”, “commercial”, and “industrial consumer”. Next, using the publicly available data for Singapore to forecast maximum demand. Secondly, identify and explain the power quality problems that is caused by AC/DC loads onto the supply side grid system. A MATLAB simulation would be done for each of the power quality issue mention Thirdly, identify any technology that is currently available or being adapted for load management and control. A review behind the working principles and the components that make up the underlying technology will also be included Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-25T02:32:47Z 2022-05-25T02:32:47Z 2022 Final Year Project (FYP) Ng, B. K. C. (2022). Smart hybrid AC/DC distribution network - part II. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157949 https://hdl.handle.net/10356/157949 en A1153-211 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
spellingShingle Engineering::Electrical and electronic engineering
Ng, Benedict Keng Chuan
Smart hybrid AC/DC distribution network - part II
description In-order to modernize our current traditional grid to a smart hybrid AC/DC bus system, this paper identifies three existing aspects of our AC grid system. Firstly, this study aims to identify the driving factors for peak demand with respect to the different consumer groups: “residential”, “commercial”, and “industrial consumer”. Next, using the publicly available data for Singapore to forecast maximum demand. Secondly, identify and explain the power quality problems that is caused by AC/DC loads onto the supply side grid system. A MATLAB simulation would be done for each of the power quality issue mention Thirdly, identify any technology that is currently available or being adapted for load management and control. A review behind the working principles and the components that make up the underlying technology will also be included
author2 Wang Peng
author_facet Wang Peng
Ng, Benedict Keng Chuan
format Final Year Project
author Ng, Benedict Keng Chuan
author_sort Ng, Benedict Keng Chuan
title Smart hybrid AC/DC distribution network - part II
title_short Smart hybrid AC/DC distribution network - part II
title_full Smart hybrid AC/DC distribution network - part II
title_fullStr Smart hybrid AC/DC distribution network - part II
title_full_unstemmed Smart hybrid AC/DC distribution network - part II
title_sort smart hybrid ac/dc distribution network - part ii
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157949
_version_ 1772828511932776448