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A unified acceptance test framework for power plant gas turbine control systems

Eslami, M ; Sharif University of Technology | 2018

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  1. Type of Document: Article
  2. DOI: 10.1016/j.isatra.2018.10.010
  3. Publisher: ISA - Instrumentation, Systems, and Automation Society , 2018
  4. Abstract:
  5. Renovation and retrofit of gas turbine control systems yield significant economic savings, enhanced reliability, and improved performance. In recent years, the gas turbine industry is increasingly facing the need to well-established procedures for the acceptance tests of renovated control systems. This paper proposes a unified framework to evaluate the performance of renovated gas turbine control systems. Under a set of assumptions on the ambient and fuel conditions, a low-complexity modular model is presented and identified using optimization-oriented identification techniques. The accuracy of the proposed model is validated through experimental studies in full-load, min-load, and no-load operating conditions. Subsequently, a model-based analysis framework is proposed to determine realistic levels of tracking performance, robustness margin and disturbance attenuation by utilizing the supporting tools in robust control theory. Quantitative and qualitative performance indices are introduced to provide acceptance criteria for the existing control loops as compared to the optimal ones. The proposed procedure is applied to a W251-B2 gas turbine manufactured by Westinghouse company, and the results show that the optimal control system outperforms the existing controllers based on quantitative and qualitative indices. The proposed procedure determines whether the overall performance of the renovated control system sufficiently meets the requirements. © 2018 ISA
  6. Keywords:
  7. Acceptance test ; Control system ; Gas turbine ; Modeling and identification ; Control systems ; Gas turbines ; Gases ; Optimal control systems ; Robust control ; Robustness (control systems) ; Acceptance criteria ; Disturbance attenuation ; Existing controllers ; Gas turbine industry ; Identification techniques ; Model-based analysis ; Tracking performance ; Westinghouse companies ; Acceptance tests
  8. Source: ISA Transactions ; Volume 85 , February , 2018 , Pages 262-273 ; 00190578 (ISSN)
  9. URL: https://www.sciencedirect.com/science/article/abs/pii/S0019057818303896