• Title/Summary/Keyword: Boiler Systems

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Compensation Logics of Controller in Korean Standard Super Critical Once Through Boiler

  • Kim, Eun-Gee
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.65.2-65
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    • 2001
  • There are not only lots of controllers such as UMC(Unit Master Controller), BMC(Boiler Master Controller), Fuel Flow controller, Air flow controller, Feed water flow controller, S/H R/H Temperature controller and so on, but also compensation controller such as BTU compensator, Fuel/Water ratio controller and O2 Co controller to take automatic control in the super critical once through boiler. It is important to make complete automation of boiler to use the compensation controller like BTU compensator. For example, In case of some boiler condition, operator has to change combustion parameter for changing the coal, on the contrary BTU compensator can calculate set value of the fuel flow and reset the fuel flow demand by itself. This paper shows us the logic and instruction regarding compensation controller of boiler that can be operated automatically.

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Development of Thermal Power Boiler System Simulator Using Neural Network Algorithm (신경망 알고리즘을 이용한 화력발전 보일러 시스템 시뮬레이터 개발)

  • Lee, Jung Hoon
    • Journal of the Korea Society for Simulation
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    • v.29 no.3
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    • pp.9-18
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    • 2020
  • The development of a large-scale thermal power plant control simulator consists of water/steam systems, air/combustion systems, pulverizer systems and turbine/generator systems. Modeling is possible for all systems except mechanical turbines/generators. Currently, there have been attempts to develop neural network simulators for some systems of a boiler, but the development of simulator for the whole system has never been completed. In particular, autoTuning, one of the key technology developments of all power generation companies, is a technology that can be achieved only when modeling for all systems with high accuracy is completed. The simulation results show accuracy of 95 to 99% or more of the actual boiler system, so if the field PID controller is fitted to this simulator, it will be available for fault diagnosis or auto-tuning.

Design of a Multivariable Fuzzy Controller for the Boiler-Turbine System (보일러-터빈 시스템의 위한 다변수 퍼지 제어기 설계)

  • Jo, Gyeong-Wan;Kim, Sang-U;Kim, Jong-Uk
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.4
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    • pp.295-303
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    • 2001
  • The demand for steam generators is increasing in industrial systems in which the design strategy should be implemented for safe and efficient operation of steam generators. It is, however, difficult to design a controller by the conventional method because of the nonlinear dynamics of the steam generator and influences by the set value of disturbance. This paper presents an automatic parameter optimization technique for a multivariable fuzzy controller using evolutionary strategy, At first, we use the steady state information such as a steady state gain matrix(SSGM) and a relative gain matrix(RGM). We can obtain much information on the control inputs and the outputs of the boiler-turbine system from the matrices. In order to determine the structure of the controller by using RGM and SSGM, the fuzzy rules are trained by evolutionary strategy. The good performance of the proposed multivariable fuzzy controller is verified through simulations.

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A design on model following optimal boiler-turbine H$\infty$control system using genetic algorithm (유전 알고리즘을 이용한 모델 추종형 최적 보일러-터빈 H$\infty$ 제어시스템의 설계)

  • 황현준;김동완;박준호;황창선
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1460-1463
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    • 1997
  • The aim of this paper is to suggest a design method of the model following optimal boiler-turbine H.inf. control system using genetic algorithm. This boiler-turbine H.inf. control system is designed by applying genetic algortihm with reference model to the optimal determination of weighting functions and design parameter .gamma. that are given by Glover-Doyle algornithm whch can design H.inf. contrlaaer in the sate. space. The first method to do this is ghat the gains of weightinf functions and .gamma. are optimized simultaneously by genetic algroithm. And the second method is that not only the gains and .gamma. but also the dynamics of weighting functions are optimized at the same time by genetic algonithm. The effectiveness of this boiler-turbine H.inf. control system is verified and compared with LQG/LTR control system by computer simulation.

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The Simulation of Boiler System for HADONG Fossil Power Plant

  • Choi, Jin-Ho;Ma, Sam-Sun;Lee,Yong-Kwan
    • Proceedings of the Korea Society for Simulation Conference
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    • 1999.10a
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    • pp.56-61
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    • 1999
  • The Simulation of Boiler System for Hadong Fossil power plant has been made by Korea Electric Power Research Institute (KERRI) in an attempt to develop Windown NT based full scope replica simulator for Hadong Fossil power plant, 500MWe once-through boiler. In the project KERRI developed Once Through, Super Critical type Boiler System, the core part of the Simulation and integrated the system with other process systems such as BOP System, and AUX System. This paper is to introduce the basic concept of the simulation for the Boiler System. It will also introduce PRO-TRAX System, for used as a modeling tool.

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Design of adaptive controllers for the boiler system (보일러를 위한 적응 제어기 설계)

  • 박태건;류지수;이기상
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.337-340
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    • 1997
  • In this paper we propose direct and indirect adaptive controllers for a nonlinear multivariable steam generating unit(200MW). In the direct adaptive scheme the estimation of the controller parameter are achieved from tracking error, while in the indirect approach the unknown parameter of the boiler system is estimated by the Hopfield network-based identifier. The performance of two proposed adaptive controllers is shown through simulations.

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Fuzzy control of drum level of boiler in thermal power plant (화력발전소 보일러 드럼 수위 퍼지 제어)

  • 변승현;박두용;김은기
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10b
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    • pp.195-198
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    • 1996
  • The control objective of drum level of boiler in thermal power plant is to maintain drum level at constant setpoint regardless of disturbance such as main steam flow. The initial response of the drum level loop process is in a direction opposite to the final response. The drum level loop shows inverse response when the power is changed abruptly. We adopt fuzzy controller using knowledge base considering system dynamics for controlling drum level. Finally, the simulation result using the digital simulator for boiler system in Seoul Power Plant Unit 4 shows the validity of fuzzy controller.

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The improvement for steam temperature control at Boryung bituminous coal-fired drum boiler type thermal power plant (유연탄연소 드럼타입 보일러를 채택한 발전프랜트의 효율적 온도제어에 관한 연구)

  • 류홍우;황재호
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.693-696
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    • 1988
  • This paper is investigated on the improvement for steam temperature control at Boryung coal-fired drum boiler type thermal power plant. The steam temperatur control has been mainly operated by the feedback controllers. Automatic controllers are bounded and difficult. Because boiler system is nonlinear and the system time delay is very large. Optimal regulators including predictive feedforward and differentiate control are synthesized and some improved output results are presented.

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A Nonlinear Dynamic Model of a Once-Through Supercritical Boiler (초임계압 관류형 보일러의 비선형모델에 관한 연구)

  • Yoon, S.H.;Lee, S.C.
    • Proceedings of the KIEE Conference
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    • 1997.11a
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    • pp.238-241
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    • 1997
  • The recent trend toward increased use of the once-through supercritical boiler worldwide is mainly due to its rapid response. The transient behavior of the steam generator are essential in the study of the system performance of power plants as well as for the design of their appropriate control systems. In this paper, a mathmatical model of the once-through supercritical pressure boiler is obtained by simulating a set of nonlinear differential and algebraic equations.

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A study on the fuzzy logic control for boiler-turbine system (보일러 터빈 플랜트의 퍼지 논리 제어에 관한 연구)

  • 김호동;김용호;안상철;권욱현
    • 제어로봇시스템학회:학술대회논문집
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    • 1991.10a
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    • pp.687-692
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    • 1991
  • To reduce the complexity in constructing a fuzzy logic controller of multivariable systems, three major methods are presented. One is the method of constructing single-input-single-output fuzzy logic controllers after decoupling the target system. Another is the method of using fuzzy relation matrices which indicate the relation between each input and output. The other is the method of using the hierarchically classified inputs which dominantly influence one output than other inputs. Using the last two methods, simulation results of fuzzy logic controller implemented on 160MW boiler-turbine plant model are also shown.

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