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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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 |
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Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution Tng, Qi Feng Machine learning and control applications for active grids |
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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. |
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Hung Dinh Nguyen |
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Hung Dinh Nguyen Tng, Qi Feng |
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Final Year Project |
author |
Tng, Qi Feng |
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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 |
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Machine learning and control applications for active grids |
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Machine learning and control applications for active grids |
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machine learning and control applications for active grids |
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Nanyang Technological University |
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2022 |
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https://hdl.handle.net/10356/157982 |
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