A frequency controller using fuzzy in isolated microgrid system
Nowadays, the potential of micro-hydro power plant has stand out as the one of the alternative generation replacing the conventional grid generation. The main factor that contributed to this development of alternative sources is causes of the global warming, depletion of the conventional source and...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/48738/25/SitiSunaidahSukmaMFKE2015.pdf |
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| Summary: | Nowadays, the potential of micro-hydro power plant has stand out as the one of the alternative generation replacing the conventional grid generation. The main factor that contributed to this development of alternative sources is causes of the global warming, depletion of the conventional source and high cost to construct the grid especially in remote areas. Therefore, the standalone hydropower plant is the appropriate choice for the rural electrification with less investment and time where the supplying grid electricity is not economical. Many previous research works has been conducted to develop a control system for micro-hydro power plant but most of the works have problems in term of frequency and power at the load. For controlling the frequency, the electronic load controller has been used, but there is a dissipation of large amounts of water especially during low power requirement. Additionally, a fixed control system from the previous study doesn’t offer the dynamic performance of micro-hydro power plant under different operating time when the load demands are varied. This report proposes a combination of fuzzy controller and PI controller for frequency control of micro-hydro power plant and supervises the power generated onto the load. A micro-hydro power plant has been modelled and simulated using the MATLAB/Simulink software. The comparison between fuzzy control system and conventional PID controller in term of dynamic performance has been determined. The results obtained show that fuzzy controller is more effective which is two times faster transient response comparable to conventional PID controller in terms of settling time and overshoots with respect to increase of load demand. |
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