Sliding control retrofit for a thermal power plant

Sreedhar, R.; Fernandez, B.; Masada, Glenn Y.

doi:10.1109/cca.1995.555738

Cited by 6 publications

(6 citation statements)

References 20 publications

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“…The advantage of this method is that it can distinguish between the system faults and modeling errors. Later, Sreedhar et al (1995b) proposed a sliding mode control for the thermal power plant, which was applied to a 21st-order thermal power plant. The proposed method proved to be more robust compared with conventional PID controllers even in the presence of modeling errors and parameter variations.…”

Section: Review Of Control Of Boilers In a Thermal Power Plantmentioning

confidence: 99%

Modeling, identification, and control of coal-fired thermal power plants

Chandrasekharan

Panda

Swaminathan³

2014

Reviews in Chemical Engineering

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The major portion of total captive power comes from thermal power from coal, oil, natural gas, etc., of which coal-fired units contribute 41% of global electricity. The overall efficiency of such power plants is 33% due to variations in power plant design, use of wide fuel ranges, different steam turbines, and lack in modeling and control configurations. To improve this efficiency, knowledge on material and energy flows across subsystems, including fuel handling, boiler, turbine, and air management need to be known properly. In addition, there is a widespread lack in measurement and instrumentation systems in power plants across the fleet and operators. This scenario makes the operational adjustments more difficult. Again, the strictness in environmental compliances (sulfur and nitrogen components) is met at the cost of limiting thermal efficiency. Moreover, to comply with faster load change, less fuel consumption and more efficient supercritical boilers have been studied. Hence, to improve the efficiency level, more research starting from the state-ofthe-art review on modeling, identification, and control methods of coal-fired boilers and the integrated plant is aimed in this work. This will also address the issue of global climate change and reduction in emission of greenhouse gases.

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Section: Review Of Control Of Boilers In a Thermal Power Plantmentioning

confidence: 99%

Modeling, identification, and control of coal-fired thermal power plants

Chandrasekharan

Panda

Swaminathan³

2014

Reviews in Chemical Engineering

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“…The drum level has a complicated geometry d11 (glass gauge 113 mm length) as shown in figure (2) in steam generation unit. To measure the drum level response with firing rate, read drum level directly from the glass gauge (d11) with the same time when we measure the drum pressure at increasing the firing rate by (10% and 20%).…”

Section: Measurement Of Drum Levelmentioning

confidence: 99%

“…The drum pressure Gage (PI) in steam generation unit as shown in figure (2) changes with variation of firing rate (heat input), to measure this variation, we start the plant and let the plant run a long enough to reach stabilization i.e. until steam pressures and temperatures in the various points of the circuit and the cooling water temperature at outlet from the condenser remain constant.…”

Section: -Measurement Of Drum Pressurementioning

confidence: 99%

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Rapid Rise Of Heat Input Effects On The Tubes Characteristics In Boiler Of Steam Power Plant

Hussain¹

2021

Al-Rafidain J Sci

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This work provides a theoretical and an experimental investigation of the dynamic effects of rapid rise in fuel flow rate (heat input) on the characteristics of the riser tubes in natural circulation water tube in boiler of steam power plant. In the theoretical work, the heat transfer coefficient and wall temperature are calculated and the governing equations of mathematical boiler model are solved .The experimental work was applied on the power plant of Didacta – Italia which available in Damascus University. Upper drum parameters are measured under increasing of heat input by ratio 10% and 20%.The results indicated that rapid increase in the fuel flow rate causes increased rates of evaporation and thus causes high increase in the quality that causes tube overheating. The riser temperature increases slightly above the saturation temperature due to the increase in the steam temperature and due to the dynamic influence resulting from sudden increase in the heat flux. The theoretical and experimental results provided good an acceptable comparison and the same behavior with Kim and Choi results and represented by graphic.

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“…Integrated autonomy is thus an important part of power plant operations and control. Preliminary results of a sliding mode controller retrofit for a thermal power plant were presented [2]. Simulation results indicate that the performance of the sliding mode controller is better than the existing multi-loop PID controller, with respect to minimizing deviations from set points and greater stability robustness in the event of faults.…”

Section: Introductionmentioning

confidence: 97%

A thermal nonlinear dynamic model for water tube drum boilers

Habib

Emara-Shabaik

Al-Zaharnah

et al. 2009

Int. J. Energy Res.

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SUMMARYA thermal model for the prediction of possible tube overheating was developed. The model incorporates a nonlinear state space dynamic model that captures the important physical interactions of the main variables of steam generation in naturally circulated water tube drum boilers. This paper provides an investigation of the dynamic effects of rapid rise in fuel flow rate (heat input) on the thermal and flow characteristics of the riser tubes in natural circulation water tube boilers. The system under consideration includes the drum, riser and downcomer as its major components. The dynamic response of the system's state variables due to rapid rises in fuel flow rates was investigated.The results show that the sudden rise in the firing rate is followed by an increase in the steam quality, which is accompanied by a decrease in the circulation rate as a result of increase in the pressure. The riser temperature increases slightly above the saturation temperature due to the increase in the steam temperature and due to the dynamic influence resulting from sudden increase in the heat flux. The present calculations of the water level in the drum provide good comparison with those in the literature.

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Sliding control retrofit for a thermal power plant

Cited by 6 publications

References 20 publications

Modeling, identification, and control of coal-fired thermal power plants

Modeling, identification, and control of coal-fired thermal power plants

Rapid Rise Of Heat Input Effects On The Tubes Characteristics In Boiler Of Steam Power Plant

A thermal nonlinear dynamic model for water tube drum boilers

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