Design of a human machine interface for a microgrid system
With the world increasing in favour of Renewable Energy (RE) and its likes over traditional use of Fossil fuel(FF), therein lies a proportionate increase in the percentage of RE introduced in our power systems. The focus of this project revolves around the power fluctuations created when RE is intro...
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sg-ntu-dr.10356-747992023-07-07T16:44:11Z Design of a human machine interface for a microgrid system Tan, Lucas Boon Yi Tang Yi School of Electrical and Electronic Engineering DRNTU::Engineering With the world increasing in favour of Renewable Energy (RE) and its likes over traditional use of Fossil fuel(FF), therein lies a proportionate increase in the percentage of RE introduced in our power systems. The focus of this project revolves around the power fluctuations created when RE is introduced into the system be it through a hybrid system of FF and RE or pure RE running through a cycle (solar energy harvested in the morning and used at night) and its solution of determining the correct power required to re-balance the system via its system frequency deviation. Through the use of a Frequency Disturbance Recorder (FDR) we were able to accurately generate a dataset of Frequency deviations throughout the day which were then parsed through a Matlab Program to derive active power deviation which in turn led to power required to rebalance the system. However, the process was not as straight-forward as mentioned above. The project was plagued with syntax errors, data incompatibility issues and a myriad of technical issues that required tedious amounts of learning, isolating and troubleshooting to successfully overcome. Future works for this project would include implementation in compound systems and tuning it to determine the source of the power disturbance be it RE or outages in power systems. Bachelor of Engineering 2018-05-24T03:03:41Z 2018-05-24T03:03:41Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/74799 en Nanyang Technological University 38 p. application/pdf |
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DRNTU::Engineering Tan, Lucas Boon Yi Design of a human machine interface for a microgrid system |
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With the world increasing in favour of Renewable Energy (RE) and its likes over traditional use of Fossil fuel(FF), therein lies a proportionate increase in the percentage of RE introduced in our power systems. The focus of this project revolves around the power fluctuations created when RE is introduced into the system be it through a hybrid system of FF and RE or pure RE
running through a cycle (solar energy harvested in the morning and used at night) and its solution of determining the correct power required to re-balance the system via its system frequency deviation. Through the use of a Frequency Disturbance Recorder (FDR) we were able to accurately generate a dataset of Frequency deviations throughout the day which were then parsed through
a Matlab Program to derive active power deviation which in turn led to power required to rebalance the system.
However, the process was not as straight-forward as mentioned above. The project was plagued with syntax errors, data incompatibility issues and a myriad of technical issues that required tedious amounts of learning, isolating and troubleshooting to successfully overcome. Future works for this project would include implementation in compound systems and tuning it to
determine the source of the power disturbance be it RE or outages in power systems. |
author2 |
Tang Yi |
author_facet |
Tang Yi Tan, Lucas Boon Yi |
format |
Final Year Project |
author |
Tan, Lucas Boon Yi |
author_sort |
Tan, Lucas Boon Yi |
title |
Design of a human machine interface for a microgrid system |
title_short |
Design of a human machine interface for a microgrid system |
title_full |
Design of a human machine interface for a microgrid system |
title_fullStr |
Design of a human machine interface for a microgrid system |
title_full_unstemmed |
Design of a human machine interface for a microgrid system |
title_sort |
design of a human machine interface for a microgrid system |
publishDate |
2018 |
url |
http://hdl.handle.net/10356/74799 |
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1772827569379344384 |