Machine learning and control applications for active grids

In recent years, there have been a lot of talk about clean energy such as solar photovoltaic. How people with solar PV can sell the energy they store to other consumers or to the power companies in exchange for monetary benefits. With more places starting to utilize PV for electricity, how would all...

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Main Author: Tng, Qi Feng
Other Authors: Hung Dinh Nguyen
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/157982
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1579822023-07-07T19:12:05Z Machine learning and control applications for active grids Tng, Qi Feng Hung Dinh Nguyen School of Electrical and Electronic Engineering hunghtd@ntu.edu.sg Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution In recent years, there have been a lot of talk about clean energy such as solar photovoltaic. How people with solar PV can sell the energy they store to other consumers or to the power companies in exchange for monetary benefits. With more places starting to utilize PV for electricity, how would all these powers affect the grid. Hence this report, will touch on what can we do to ensure that the power system is able to maintain at certain voltage level without for usage and not being interrupted by all these transactions going on in the grid. What happens to the power in network work if the injected power does and does not stay within the range of the desired power in the network. Bachelor of Engineering (Electrical and Electronic Engineering) 2022-05-26T12:00:10Z 2022-05-26T12:00:10Z 2022 Final Year Project (FYP) Tng, Q. F. (2022). Machine learning and control applications for active grids. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157982 https://hdl.handle.net/10356/157982 en A1070-211 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::Electric power::Production, transmission and distribution
spellingShingle Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Tng, Qi Feng
Machine learning and control applications for active grids
description In recent years, there have been a lot of talk about clean energy such as solar photovoltaic. How people with solar PV can sell the energy they store to other consumers or to the power companies in exchange for monetary benefits. With more places starting to utilize PV for electricity, how would all these powers affect the grid. Hence this report, will touch on what can we do to ensure that the power system is able to maintain at certain voltage level without for usage and not being interrupted by all these transactions going on in the grid. What happens to the power in network work if the injected power does and does not stay within the range of the desired power in the network.
author2 Hung Dinh Nguyen
author_facet Hung Dinh Nguyen
Tng, Qi Feng
format Final Year Project
author Tng, Qi Feng
author_sort Tng, Qi Feng
title Machine learning and control applications for active grids
title_short Machine learning and control applications for active grids
title_full Machine learning and control applications for active grids
title_fullStr Machine learning and control applications for active grids
title_full_unstemmed Machine learning and control applications for active grids
title_sort machine learning and control applications for active grids
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/157982
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