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

Guolian Hou, Yu Yang, Zhuo Jiang, Quan Li and Jianhua Zhang
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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

Energies, 2016, vol. 9, issue 5, 1-15

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.

Keywords: modeling; ultra super-critical power plant; coordinated control system; T-S fuzzy model; performance improvement (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2016
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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