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A New Approach of Modeling an Ultra-Super-Critical Power Plant for Performance Improvement

Author

Listed:
  • Guolian Hou

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Yu Yang

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Zhuo Jiang

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

  • Quan Li

    (State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China)

  • Jianhua Zhang

    (School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China)

Abstract

A suitable model of coordinated control system (CCS) with high accuracy and simple structure is essential for the design of advanced controllers which can improve the efficiency of the ultra-super-critical (USC) power plant. Therefore, with the demand of plant performance improvement, an improved T-S fuzzy model identification approach is proposed in this paper. Firstly, the improved entropy cluster algorithm is applied to identify the premise parameters which can automatically determine the cluster numbers and initial cluster centers by introducing the concept of a decision-making constant and threshold. Then, the learning algorithm is used to modify the initial cluster center and a new structure of concluding part is discussed, the incremental data around the cluster center is used to identify the local linear model through a weighted recursive least-square algorithm. Finally, the proposed approach is employed to model the CCS of a 1000 MW USC one-through boiler power plant by using on-site measured data. Simulation results show that the T-S fuzzy model built in this paper is accurate enough to reflect the dynamic performance of CCS and can be treated as a foundation model for the overall optimizing control of the USC power plant.

Suggested Citation

  • Guolian Hou & Yu Yang & Zhuo Jiang & Quan Li & Jianhua Zhang, 2016. "A New Approach of Modeling an Ultra-Super-Critical Power Plant for Performance Improvement," Energies, MDPI, vol. 9(5), pages 1-15, April.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:5:p:310-:d:68922
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    Citations

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    Cited by:

    1. Hyun-Chul Lee & Eul-Bum Lee & Douglas Alleman, 2018. "Schedule Modeling to Estimate Typical Construction Durations and Areas of Risk for 1000 MW Ultra-Critical Coal-Fired Power Plants," Energies, MDPI, vol. 11(10), pages 1-15, October.
    2. Seok Min Choi & Jun Su Park & Ho-Seong Sohn & Seon Ho Kim & Hyung Hee Cho, 2016. "Thermal Characteristics of Tube Bundles in Ultra-Supercritical Boilers," Energies, MDPI, vol. 9(10), pages 1-14, September.
    3. Hou, Guolian & Gong, Linjuan & Huang, Congzhi & Zhang, Jianhua, 2020. "Fuzzy modeling and fast model predictive control of gas turbine system," Energy, Elsevier, vol. 200(C).

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