Machine learning and control applications for active grids

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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Bibliographic Details
Main Author: Tng, Qi Feng
Other Authors: Hung Dinh Nguyen
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Online Access:https://hdl.handle.net/10356/157982
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Institution: Nanyang Technological University
Language: English
Description
Summary: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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