Power Plant Pump Process Model Error Minimization Technique for Improving Simulator Fidelity

The power plant simulator is used to simulate the actual operation of a power plant, and for training and control verification. The simulator is built with the design data during the plant construction. The fidelity is low in the initial stage of operation because power plant modifications, deterior...

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Bibliographic Details
Main Authors: Yun, SooYong, Gwak, Kwan-Woong, Byun, Seung-Hyun, Kim, Deockho, Cho, Jaeyong, Shin, Man-su, Kim, ChangHyun
Format: Conference Proceeding
Language:English
Subjects:
Computational modeling
Error Minimization
Estimation
Fidelity
Minimization
Power Plant Simulator
Prediction algorithms
Predictive models
Process Model
Pump
Pumps
Sensitivity
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Description
Summary:The power plant simulator is used to simulate the actual operation of a power plant, and for training and control verification. The simulator is built with the design data during the plant construction. The fidelity is low in the initial stage of operation because power plant modifications, deterioration, and logic corrections are not sufficiently reflected in a timely manner. To solve this problem, we propose a model error minimization technique for a pump process, one of the fundamental elements of the plant process, to improve fidelity. Model accuracy is improved by adjusting the parameters of the pump rated speed and characteristic curve based on the actual operating data. Performance is verified using actual operation data of the boiler feedwater pump in the circulating fluidized bed power plant.
ISSN:2642-3901
DOI:10.23919/ICCAS52745.2021.9649747