The control of large coal- and oil-fired generating units

Waddington, J.; Maples, G.

doi:10.1049/pe:19870006

Cited by 18 publications

(3 citation statements)

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“…The estimated PF ow can then be used in the fuel controller compensating rapidly for disturbances in the fuel system (Fan, 1994;Rees, 1997). The scheme seems to work satisfactorily and systems like this are operating on real plant (Wallace and Clark, 1983;Waddington and Maples, 1987).…”

Section: Kalman Lter Fuel Estimation Feedbackmentioning

confidence: 99%

Some thoughts on the advanced control of electric power plants

Rees

2002

Transactions of the Institute of Measurement and Control

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Over the last decade, there has been considerable change in the electric power generation industry. Larger, faster plants have been constructed and old plants have been forced to operate in a much more dynamic environment, thanks to strong competition and market forces. Massive changes have also occurred in information technology, designed to improve power plant performance, by including large amounts of computing and digital circuits, together with very advanced man-machine interface tools, allowing efficient information retrieval and display at reasonable cost. By contrast, the control systems implemented in the distributed control computer systems remain largely conventional control, a mix of various types of PID control and feedforward, which is not at all what is thought of as advanced control. This paper looks at this issue, and describes some of the advanced controllers that might be very effective in the industry, including many that are being offered to the industry by the control vendor companies. The paper then tries to give reasons why these systems have not been taken up in any significant way, and by using examples from our own experience, attempts to suggest how the situation might be improved.

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Section: Kalman Lter Fuel Estimation Feedbackmentioning

confidence: 99%

Some thoughts on the advanced control of electric power plants

Rees

2002

Transactions of the Institute of Measurement and Control

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“…Before designing the controller, one must determine the control configuration and pairing of input-output variables. Many researchers (Dwarakanath et al 1982, Waddington and Maples 1987, Ahluvalia and Domenichini 1990 have proposed boiler control configurations based on interaction analysis and control modes. They considered five process variables to be controlled by manipulating five variables using four PI and one proportional derivative controller.…”

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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“…The fuel composition in the combustion chamber must meet standards for safety and environment protection [1,2] .…”

Section: Introductionmentioning

confidence: 99%

Coordinated controller tuning of a boiler turbine unit with new binary particle swarm optimization algorithm

Menhas

Fei

Cheng-xi

2011

Int. J. Autom. Comput.

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Coordinated controller tuning of the boiler turbine unit is a challenging task due to the nonlinear and coupling characteristics of the system. In this paper, a new variant of binary particle swarm optimization (PSO) algorithm, called probability based binary PSO (PBPSO), is presented to tune the parameters of a coordinated controller. The simulation results show that PBPSO can effectively optimize the control parameters and achieves better control performance than those based on standard discrete binary PSO, modified binary PSO, and standard continuous PSO.

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The control of large coal- and oil-fired generating units

Cited by 18 publications

References 0 publications

Some thoughts on the advanced control of electric power plants

Some thoughts on the advanced control of electric power plants

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

Coordinated controller tuning of a boiler turbine unit with new binary particle swarm optimization algorithm

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