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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Format: | Final Year Project |
Language: | English |
Published: |
2018
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Online Access: | http://hdl.handle.net/10356/74799 |
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Institution: | Nanyang Technological University |
Language: | English |
Summary: | 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. |
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