• Title/Summary/Keyword: Boiler control

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A development of reliability evaluation model for power plant fan pitch blade control actuator (발전설비 통풍기 날개각 제어작동기 신뢰성평가 모델 개발)

  • Son, Tae-Ha;Huh, Jun-Young
    • Proceedings of the KSME Conference
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    • 2007.05b
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    • pp.3259-3263
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    • 2007
  • This paper describes the proceedings of creating countermeasures after analysis and maintenance be able to conduct operation safely in a power plant. in order to operate the power plant in a stable and reliable way, the best condition of the govemor system can be maintained through the response characteristic analysis of the control device for the pitch blade control hydraulic actuator. The fan pitch blade control hydraulic actuator of a 500MW large-scale boiler is frequently operated under normal operation conditions. Common problems or malfunctions of the pitch blade control hydraulic actuators leads to the decline of boiler thermal efficiency and unexpected power plant trip. The inlet and outlet gas can be controlled by using the fan pitch blade control hydraulic actuator in order to regulate the internal pressure of the furnace and control the frequency in the power plant facility which utilizes soft coals as a power source.

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A study on the robust control of the boiler-turbine (보일러 터빈 시스템의 견실성에 관한연구)

  • 이시곤;김은기;권욱현
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.192-196
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    • 1988
  • This paper presents a feasibility study related to the design of a linear multivariable compensator for a model of boiler-turbine system. The nonlinear dynamics are linearized at a operating condition. At the operating point an LQG/LTR compensator is designed. Simulations are included to illustrate the usefulness of this linear multivariable control law.

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A Design of Reference Model Following Fuzzy Control System for Boiler-Turbine Equipment (보일러-터빈 설비에 대한 기준모델 추종 퍼지 제어시스템의 설계)

  • 정호성;황창선;황현준
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.11 no.4
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    • pp.82-91
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    • 1997
  • In this paper, a design method of the boiler-turbine control system in the coal fired power plant is proposed. We need to control electric output and drum pressure and water level in drum to guarantee stable operation and save energy for generating electricity and decrease air pollution in the boiler-turbine system. This boiler-turbine control system is composed of reference model part and model following part. The multivariable boiler-turbine system is separated into 3 SISO(Single Input Single Output) systems applying the concept of relative gain matrix. Each 3 reference models for separated boiler-turbine system are composed of 1st order nominal plant and hysteresis integral control system and they make good dy¬namic response with no overshoot and fast rising time. Each fuzzy controller to follow as close as possible to the response of each reference model is designed. The robustness and the good tracking property can be achieved using 5150 fuzzy controllers when there are modeling errors, disturbances and parameter pertur¬bations. The effectiveness of the proposed design method is verified through simulations.

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Part Load Performance Characteristics of Domestic Wood Pellet Boiler (가정용 목재 펠릿 보일러에 대한 부분부하 운전 특성)

  • Kang, Sae Byul;Kim, Jong Jin;Kim, Hyouck Ju;Park, Hwa Choon;Choi, Kyu Sung;Sim, Bong Seok
    • 한국신재생에너지학회:학술대회논문집
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    • 2010.11a
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    • pp.103.1-103.1
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    • 2010
  • Recently domestic wood pellet boilers are installed in rural and forestry houses. The fuel price per lower heating value of wood pellet is about 20 % lower than that of heating oil on July 2010. In spite of lower price of wood pellet, a few user of wood pellet boiler complain expensive fuel cost. One of this reason is inaccurate or improper air-fuel ratio setting of wood pellet boiler. O2 concentration of flue gas of domestic wood pellet boiler is about 9.7 % and there are few domestic wood pellet boiler which can control air-fuel ratio automatically. We tested a domestic wood pellet boiler in changing boiler thermal output and air-fuel ratio. The nominal boiler thermal output is 25 kW (21 500 kcal/h). We measured thermal efficiency and flue gas concentrations such as CO and NOx at each boiler thermal load with various air-fuel ratio. The results show that if air flow rate is the same as full load and part load, thermal efficiency of part load of 40 % drops about 7.7 %p compared to boiler full load case.

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The improvement of control strategy in thermal power plant turbine system by nonlinear analysis (비선형성 해석에 의한 화력발전소 터어빈 제어계통에 관한 연구)

  • ;;Hwang, Jae-Ho;Seo, Jin-Hun
    • 제어로봇시스템학회:학술대회논문집
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    • 1989.10a
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    • pp.567-571
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    • 1989
  • This paper describes the improvement of thermal power plant turbine control system by analyzing nonlinear characteristics. The turbine control depends on the frequency variation and boiler condition. The nonlinearity of turbine control is the result of governor/valve properties, steam condition and boiler thermal unbalance. Nonlinear analysis is divided into two; main steam valve position - turbine output anal governor response. Of course, every analysis must be done on considering plant operating condition. In this paper, after analyzing turbine control nonlinearity by numerical method and actual results, the sensitive operating load which corresponds to frequency is proposed, on guarranteed boiler stability. This idea is implemented at Pyung Tack thermal power plant, and the practical results are showed.

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MODELING OF PRESSURE CONTROL SYSTEM OF BOILER (보일러 풍압 제어 계통의 모델링)

  • Park, Min-Ho;Mok, Hyung-Soo
    • Proceedings of the KIEE Conference
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    • 1987.11a
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    • pp.362-366
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    • 1987
  • The amount of inflowing Air into the boiler has controlled by manipulating the opening of valve, damper and vane, as fan operated by induction motor operats at constant speed, but these control methods are not efficient. Thus VVVf(Variable Voltage Variable Frequency) control of fan has selected to improve efficiency and to acquire power savings. Control system of Air Flow is affected by nonlinearity caused by load variation, vane opening, etc. The analysis of control parameter causing nonlinearity is needed to acquire optimal control and excellent transient response. This paper provides modeling of boiler with various load conditions and vane opening, and analysis of this system.

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Implementation of advanced control algorithms for a power plant boiler system (발전소 보일러 제어용 진보된 제어 알고리즘의 구현)

  • 김성우;서창준;김병국
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.281-286
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    • 1992
  • This paper describes a duplexed process control system for a boiler-turbine system of power plant, which is composed of supervisor, controller, and simulater subsystems. Its embeded POL(Problem oriented language) as a structured control language enables this system to do a real-time distributed control and fault diagnosis by simple programming with the actual implementation of advanced control algorithms such as PID autotuning and GPC, etc, the performance of overall system has been greatly enhanced.

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Decentralized Adaptive Control of Drum Type Boiler System (드럼형 보일러 시스템의 분산 적응 제어)

  • Choi, Young-Moon;Jo, Cheol-Hyeong;Kong, Jae-Sop;Seo, Jin-Heon
    • Proceedings of the KIEE Conference
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    • 1993.11a
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    • pp.320-322
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    • 1993
  • In this paper, the decentralized adaptive control scheme is applied to the control of drum type boiler system. Because the scheme requires the stability of interconnections, static feedback is used to satisfy the requirement of the scheme. From a priori knowledge of the system, system parameter estimates are bounded to prevent parameter drifting. Computer simulation shows that the decentralized adaptive control is suitable for the control of drum type boiler system and robust in the presence of disturbance.

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Automatic adjustment of feedforward signal in boiler controllers of thermal power plants

  • Egashira, Katsuya;Nakamura, Masatoshi;Eki, Yurio;Nomura, Masahide
    • 제어로봇시스템학회:학술대회논문집
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    • 1995.10a
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    • pp.83-86
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    • 1995
  • This paper proposes an auto-tuning method of feedforward signal in boiler control of thermal power plants by using the neural network. The neural network produces an optimal feedforward signal by tuning the weights of the network. The weights are adapted effectively by using the teaching signal of PI control output. The proposed method was evaluated based on a detailed simulator which expressed non-linear characteristics of the 600 MW actual thermal power plant at load chaning operations, showed effectiveness in the learning of the weights of the neural network, and gave an accurate control performance in the temperature control of the system. Through the evaluation, the proposed method was proved to be effectively applicable to the actual thermal plants as the automatic adjustment tool.

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