The simulation results show that the first boiler model (Model-1, M1) with 95% productivity has better preformance on the settling time of power and enthalpy outputs.
📌 3 Key Takeaways
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Objective & Hypothesis:Power plants need to be controled because of electricity generation cost and to be reduced corrosion of the equipmet used in them.
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Key Findings & Data:In this study, a fuzzy gain scheduled proportional-integral, FGPI, controller was designed to arrange the power and enthalpy outputs in two boilers with different productivity values of a 765 MW coal-fired thermal power plant.
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Conclusion & Impact:The simulation results show that the first boiler model (Model-1, M1) with 95% productivity has better preformance on the settling time of power and enthalpy outputs.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Electrical Energy · Thermal Power Plant · Modelling
Abstract
Power plants need to be controled because of electricity generation cost and to be reduced corrosion of the equipmet used in them. For these reasons, special care has to be taken for their two outputs, settling time and overshoot, and their productivity. In this study, a fuzzy gain scheduled proportional-integral, FGPI, controller was designed to arrange the power and enthalpy outputs in two boilers with different productivity values of a 765 MW coal-fired thermal power plant. The simulation results show that the first boiler model (Model-1, M1) with 95% productivity has better preformance on the settling time of power and enthalpy outputs. As for the overshoots, the second boiler model (Model-2, M2) with 70% productivity has better performance for the two outputs.
KOCAARSLAN, İ., ÇAM, E., TİRYAKİ, H. (2010). An Investigation Of Productivity In Boilers Of Thermal Power Plants With Fuzzy Gain Scheduled PI Controller. Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi, Cilt: 2 - Sayı: 1, 45–49. https://ajindex.com/articles/889668
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