Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157982
Title: Machine learning and control applications for active grids
Authors: Tng, Qi Feng
Keywords: Engineering::Electrical and electronic engineering::Electric power::Production, transmission and distribution
Issue Date: 2022
Publisher: Nanyang Technological University
Source: 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
Project: A1070-211
Abstract: 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.
URI: https://hdl.handle.net/10356/157982
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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