Load frequency controller design based on extreme learning machine (ELM)
In this project the multi area power plant system and its dynamics are studied. Furthermore the modeling of the three-area power plant using SIMULINK and simulation of the system using a decentralized robust controller when subjected to system parameter uncertainties and the unpredictable change of...
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2009
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sg-ntu-dr.10356-179162023-07-07T17:26:37Z Load frequency controller design based on extreme learning machine (ELM) Tangka, Yossy. Wang Youyi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering In this project the multi area power plant system and its dynamics are studied. Furthermore the modeling of the three-area power plant using SIMULINK and simulation of the system using a decentralized robust controller when subjected to system parameter uncertainties and the unpredictable change of load. Simulation results show that the decentralized load frequency controller can ensure that the system is stable for all bounded parametric uncertainties, even in the presence of generation rate constraint. Other controller design technique using extreme learning machine (ELM) is proposed and evaluated for its performance when subjected to uncertainties of the system’s parameters and different load change. Bachelor of Engineering 2009-06-18T01:14:40Z 2009-06-18T01:14:40Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17916 en Nanyang Technological University 74 p. application/pdf |
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Singapore Singapore |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Tangka, Yossy. Load frequency controller design based on extreme learning machine (ELM) |
| description |
In this project the multi area power plant system and its dynamics are studied. Furthermore the modeling of the three-area power plant using SIMULINK and simulation of the system using a decentralized robust controller when subjected to system parameter uncertainties and the unpredictable change of load. Simulation results show that the decentralized load frequency controller can ensure that the system is stable for all bounded parametric uncertainties, even in the presence of generation rate constraint.
Other controller design technique using extreme learning machine (ELM) is proposed and evaluated for its performance when subjected to uncertainties of the system’s parameters and different load change. |
| author2 |
Wang Youyi |
| author_facet |
Wang Youyi Tangka, Yossy. |
| format |
Final Year Project |
| author |
Tangka, Yossy. |
| author_sort |
Tangka, Yossy. |
| title |
Load frequency controller design based on extreme learning machine (ELM) |
| title_short |
Load frequency controller design based on extreme learning machine (ELM) |
| title_full |
Load frequency controller design based on extreme learning machine (ELM) |
| title_fullStr |
Load frequency controller design based on extreme learning machine (ELM) |
| title_full_unstemmed |
Load frequency controller design based on extreme learning machine (ELM) |
| title_sort |
load frequency controller design based on extreme learning machine (elm) |
| publishDate |
2009 |
| url |
http://hdl.handle.net/10356/17916 |
| _version_ |
1772827947199102976 |