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- W97376455 abstract "ABSTRACT Mathematical models of electric power plants are needed to predict the response of the plant to events which occur on the power system, and in the development of improved control schemes. Analytical models suffer from difficulty in obtaining parameters, and in updating them with changing plant conditions. The present work involves obtaining models of boilers directly from plant measurements during a test. The tests consist of injecting small pseudo-random disturbances to the plant and recording its response to these known inputs. A model is then derived by processing these data using identification algorithms. Simulation of plant based on existing models was considered necessary as a prelude to the tests, and the data acquisition system was tested on a laboratory model turbogenerator. Extensive perturbation tests have been conducted on the simulated model, to establish acceptable data-acquisition and identification procedures, quantities to be monitored, identify suitable model structures, and determine their ranges of validity. Tests have been conducted on 200MW and 300MW boilers. Data from a number of tests have been analysed, and the models are validated by comparing their responses with the plant responses to identical inputs. Test and identification results are presented in the paper." @default.
- W97376455 created "2016-06-24" @default.
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- W97376455 date "1984-01-01" @default.
- W97376455 modified "2023-09-27" @default.
- W97376455 title "IDENTIFICATION OF BOILERS IN POWER STATIONS" @default.
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- W97376455 doi "https://doi.org/10.1016/b978-0-408-01504-2.50040-5" @default.
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