Feedback fuzzy state space modeling and optimal production planning for steam turbine of a combined cycle power generation plant
The main pwpose of a Combined Cycle (CC) power generation plant is to minimize the energyiheat losses. In this research an inverse Feedback Fuzzy State Space Model (FFSSM) for the steam turbine of the CC is modeled. The algorithm maximizes the power production with optimal input parameters. The over...
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| Main Authors: | , , |
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| Format: | Article |
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Medwell Journals
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/33540/ http://www.medwelljournals.com/abstract/?doi=rjasci.2012.100.107 |
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| Summary: | The main pwpose of a Combined Cycle (CC) power generation plant is to minimize the energyiheat losses. In this research an inverse Feedback Fuzzy State Space Model (FFSSM) for the steam turbine of the CC is modeled. The algorithm maximizes the power production with optimal input parameters. The overall turbine section consists of the high pressure intermediate pressure and the low pressure subsections. The model suggests the optimal inputs/outputs for each subsection of the steam turbine in the allowable desired ranges. The inverse modeling approach determines the optimal operating conditions keeping in view the total available throughput against the desired operating conditions. The algorithm proposes more flexible operating conditions for the three stages of the steam turbine. The primary superiority of the proposed algorithm over the more direct ones is the ability to operate on more flexible operating conditions. |
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