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Title: Comparison of advanced steam temperature control algorithms for fossil-fuel-fired utility power plants

Technical Report ·
OSTI ID:5351453
; ; ;  [1]
  1. Honeywell, Inc., Minneapolis, MN (United States). Sensor and System Development Center

Researchers developed a process model based control (PMBC) algorithm and a state variable control (SVC) algorithm for fossil plant steam temperature control applications. Using a simulation model of a coal-fired 250 MW drum unit, they compared the two new algorithms with a conventional proportional-integral (PI) algorithm. The simulation was developed from validated utility plant simulation equations available in the published literature. Ten scenarios were selected to represent a full range of operating conditions typically experienced in utility operations. The algorithms were rated based upon six standard analytical measures of control system performance. Both the SVC and the PMBC algorithms yielded better performance than optimally tuned conventional controls with the PMBC algorithm showing the best performance over all test scenarios. The PMBC demonstrated improvements in the performance measures by factors of 2 to 5. The PMBC algorithm also appears to offer significantly reduced effort in retuning, implying cost savings in operating and maintaining the control strategy.

Research Organization:
Electric Power Research Inst., Palo Alto, CA (United States); Honeywell, Inc., Minneapolis, MN (United States). Sensor and System Development Center
Sponsoring Organization:
EPRI; Electric Power Research Inst., Palo Alto, CA (United States)
OSTI ID:
5351453
Report Number(s):
EPRI-TR-100342
Country of Publication:
United States
Language:
English