Automatic realization of human experience for controlling variable-pressure boilers

Goto, Satoru; Nakamura, Masatoshi; Matsumura, Shiro

doi:10.1016/s0967-0661(01)00075-2

Cited by 13 publications

(10 citation statements)

References 7 publications

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“…The steam flow and steam enthalpy which, in turn, are the functions of the temperature and pressure of the main steam, respectively, to decide the electrical power output [6]. The objective of FFPU is to produce just as much steam from the boiler as that used for generating electric power [7].…”

Section: Description Of Steam Generatormentioning

confidence: 99%

Improved method to mitigate the effect of coal fuel switching on critical process parameters of a steam generator in a thermal power plant

Dharmalingam

Sivakumar²,

Anandhi³

et al. 2011

Proceedings of the Institution of Mechanical Engineers, Part A:

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The design and performance of steam generators supplied to thermal power plants are greatly influenced by the properties of coal burnt. All coals are not same and the variation of heating value of coal supplied to boiler results in changes in critical process parameters like pressure and temperature of main steam produced. These fluctuations are normally controlled by master pressure controller, provided the variation in heating value is within certain limits. If the heating value of coal being burnt varies substantially, a remedial measure is necessary to control the pressure and temperature fluctuations during coal fuel switching. The composition of the coal burnt currently in a boiler is determined from an online analyser, and an embedded controller computes the current heating value of the coal and suitably modifies the gains of all the controllers to arrest the undue fluctuations in pressure and temperature. A validated mathematical model for a typical 500 MW plant is used to simulate the variations in pressure and temperature of steam with normal and embedded controllers. Significant reduction in pressure and temperature variation has been achieved with an embedded controller. This article discusses the improved method of ensuring optimum boiler performance during coal fuel switchover.

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Section: Description Of Steam Generatormentioning

confidence: 99%

Improved method to mitigate the effect of coal fuel switching on critical process parameters of a steam generator in a thermal power plant

Dharmalingam

Sivakumar²,

Anandhi³

et al. 2011

Proceedings of the Institution of Mechanical Engineers, Part A:

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“…Therefore, an advanced control algorithm is applied to the plant in order to evaluate the energy savings, in this section. There have been a lot of research efforts for the application of the classical and advanced control algorithm such as generalized predictive control [16], adaptive control [17] and a nonlinear separation control method [12]. Among these algorithms, the Model Predictive Control (MPC) is well known for its superior performance in many chemical and thermal plants.…”

Section: Application Of the Model For Temperature Controlmentioning

confidence: 99%

“…In addition to the modeling of the thermal plants, it is important to develop and apply the effective control strategy for efficient operation of the plant from the viewpoint of energy savings. Several control strategies have been applied to the manipulation of the boilers using the simple empirical models, among which, the first-order linear model has been most widely used [12,13]. Prasad and coworkers [14] applied a neural net model for the multivariable long-range predictive control.…”

Section: Introductionmentioning

confidence: 99%

Mathematical modeling and control of thermal plant in the district heating system of Korea

Choi

Yoo

Lee

et al. 2010

Applied Thermal Engineering

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“…Based on a separation model that consisted of static nonlinearities and linear dynamics, a nonlinear separation control scheme for the main steam temperature and pressure was presented in Ref. [5].…”

Section: Introductionmentioning

confidence: 99%

Adaptive PID Cascade Control for Superheated Steam Temperature Based on Inverse Model

Wang

Chen

2011

Journal of Engineering for Gas Turbines and Power

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Since the superheated steam temperature .system of boiler in thermal power plant is characterized as time varying and nonlinear, it is hard to achieve a satisfactory performance by the conventional proportional-integral-derivative (PID) cascade control scheme. This paper presents a design method of adaptive PID cascade control sy.stem for superheated steam temperature based on inverse model: First, the inner loop and the outer process in the cascade control system are equivalent to a generalized plant. A simplified Takagi-Sugeno (STS) fitzzy model is adopted to identify the inverse modei of the generalized plant. By choosing the appropriate structure and optimizing with constrains for the parameters of the inverse model, the organic combination of the PID primary controller with the inverse model is realized. To maintain the .'structure of the existing conventional PID cascade control system in power plant without change, in the control process, the parameters of the primary controller are adjusted on-line according to the identification result of the inverse model of the generalized plant: thus an adaptive PID cascade control system is formed, which matches with the characteristics of the controlled plant. Through the simulation experiments of controlling superheated steam temperature, it is illustrated that the proposed scheme has good adaptability and antiinterference ability.

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Automatic realization of human experience for controlling variable-pressure boilers

Cited by 13 publications

References 7 publications

Improved method to mitigate the effect of coal fuel switching on critical process parameters of a steam generator in a thermal power plant

Improved method to mitigate the effect of coal fuel switching on critical process parameters of a steam generator in a thermal power plant

Mathematical modeling and control of thermal plant in the district heating system of Korea

Adaptive PID Cascade Control for Superheated Steam Temperature Based on Inverse Model

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