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Energies 2016, 9(5), 310; doi:10.3390/en9050310

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

1
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China
2
State Grid Zhejiang Electric Power Research Institute, Hangzhou 310014, China
*
Author to whom correspondence should be addressed.
Academic Editor: Jihong Wang
Received: 29 January 2016 / Revised: 29 March 2016 / Accepted: 18 April 2016 / Published: 26 April 2016
(This article belongs to the Special Issue Energy Efficient Actuators and Systems)
View Full-Text   |   Download PDF [1625 KB, uploaded 26 April 2016]   |  

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. View Full-Text
Keywords: modeling; ultra super-critical power plant; coordinated control system; T-S fuzzy model; performance improvement modeling; ultra super-critical power plant; coordinated control system; T-S fuzzy model; performance improvement
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Hou, G.; Yang, Y.; Jiang, Z.; Li, Q.; Zhang, J. A New Approach of Modeling an Ultra-Super-Critical Power Plant for Performance Improvement. Energies 2016, 9, 310.

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