Intelligent Start-Up Schedule Optimization System for a Thermal Power Plant
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- SHIRAKAWA Masakazu
- Toshiba Corporation, Power Systems Company, Thermal Power Plant Division
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- ARAKAWA Masao
- Department of Reliability-Based Information System Engineering, Kagawa University
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- NAKAYAMA Hirotaka
- Department of Information Science and Systems Engineering, Konan University
Abstract
This paper proposes an intelligent start-up schedule optimization system for a thermal power plant. This system consists of a dynamic simulation, a neural network, and an interactive multi-objective programming technique. In this study, a new intelligent optimization method using the neural network and a genetic algorithm to realize a satisficing trade-off method, which is an interactive multi-objective programming technique, has been developed and introduced into this system. The features of this system are as follows. (1) The start-up schedule can be optimized based on multi-objective evaluation and (2) an optimal and flexible start-up schedule can be determined with a reasonable computing time and calculation accuracy through human-computer interactions. The system is applied to a simulation for a combined cycle power plant, and to optimize from among multiple objectives, based on varying daily requirements. The application results show that optimal and flexible start-up schedules can be obtained within a reasonable computing time and with acceptable calculation accuracy.
Journal
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- Journal of Advanced Mechanical Design, Systems, and Manufacturing
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Journal of Advanced Mechanical Design, Systems, and Manufacturing 1 (5), 690-705, 2007
The Japan Society of Mechanical Engineers
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Keywords
Details 詳細情報について
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- CRID
- 1390001205271264384
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- NII Article ID
- 130000080707
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- ISSN
- 18813054
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed