• 제목/요약/키워드: Boiler-Turbine System

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화력 발전용 드럼 보일러-터빈 시스템의 모델링에 관한 연구 (A Study on Thermal Power Plant Drum Boiler-Turbine System Modeling)

  • 김우헌;문운철
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2011년도 제42회 하계학술대회
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    • pp.1804-1805
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    • 2011
  • In recent year there has been an increasing interest in the dynamic simulation of complex systems. This study uses a large-scale forty-seventh order fossil fuel power plant. Twenty-three state variables are associated with the physical processes and twenty-four state variables associated with the control system. The plant model is expected to predict all dominant effects in a steady and transient state. In this study, the power plant model is reorganized into four subsystems, each with its controller, and the four connected to each other through a manager, which is a fifth part to the system. The four parts of the unit are the boiler system, steam turbine system, condenser system, and feedwater system.

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

  • 김성우;서창준;김병국
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1992년도 한국자동제어학술회의논문집(국내학술편); KOEX, Seoul; 19-21 Oct. 1992
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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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강인한 2자유도 다변수 보일러-터빈 시스템의 설계 (A Design on Robust Two-Degree-of-Freedom Multivariable Boiler-Turbine System)

  • 황창선;김동완;정호성;이두영;조규열;남경원
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.670-672
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    • 1995
  • This paper deals with the robust two-degree-of-freedom multivariable control system using $H_{2}/H{\infty}$optimization method which can achieve the robust stability and the robust performance, simultaneously. The feedback controller can obtain the robust stability property. The feedforward controller can obtain the robust performance property under modelling error. The robust two-degree-of-freedom multivariable control system is applied to the nonlinear multivariable boiler-turbine system. The validity of the proposed method is verified though being compared with LQG/LTR design method.

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한국표준형 초 임계압 관류형 보일러의 급수제어 (Feed Water Flow Control of Super Critical Once Through Boiler in Korea Standard Power Plant)

  • 김은기;장용창;조수현
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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    • pp.251-251
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    • 2000
  • Tangjin Power Plant is modern Korean standard plant which is made up Once Through Super Critical Boiler, Turbin, Generator and Flue Gas Desulfarization System. INFI-90 system fur control of the 500 MW Korean standard super critical once through boiler Mark-V for Turbine, EX-2000 fer Generator, WDPF for FGD were installed in Tangiin thermal power plant. There were two BFPTs, BFPM, 25% control valve, 35% control valve to control boiler feed water flow. It is very difficult to tune the Separator Tank level control system and change the mode from Wet to Dry. This paper focuses on test results and modification control logic for feed water control system in Tangjin power plant.

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Supplementary Control of Conventional Coordinated Control for 1000 MW Ultra-supercritical Thermal Power Plant using Dynamic Matrix Control

  • Lee, Youngjun;Yoo, Euiyeon;Lee, Taehyun;Moon, Un-Chul
    • Journal of Electrical Engineering and Technology
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    • 제13권1호
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    • pp.97-104
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    • 2018
  • This paper proposes supplementary control of conventional coordinated control of a power plant which directly affects network frequency. The supplementary control with dynamic matrix control is applied for 1000 MW power plant with ultra-supercritical (USC) once-through boiler. The supplementary control signal is added to the boiler feedforward signal in the existing coordinated control logic. Therefore, it is a very practical structure that can maintain the existing multi-loop control system. This supplementary controller uses the step response model for the power plant system, and on-line optimization is performed at every sampling step. The simulation results demonstrate the effectiveness of the proposed supplementary control in a wide operating range of a practical 1000 MW USC power plant simulator. These results can contribute the stable operation of power system frequency.

초임계압 보일러 수냉벽 튜브의 파열사고 분석 (Failure Analysis of Waterwall Tubes in Super Critical Boiler)

  • 김범수;정남근;김두수;이성호
    • 동력기계공학회지
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    • 제7권1호
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    • pp.20-24
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    • 2003
  • Boiler is one of the most important utilities providing steam to turbine in order to supply mechanical energy in thermal power plant. It is composed of thousands of tubes for high efficient heat transfer. Water is converted to steam inside the waterwall tubes. Many chemical components dissolved in boiler water come out of itself, deposit to the tube wall surface, prohibit heat transer, raise tube metal temperature, eventually fail the boiler tubes. Several tasks such as fracture surface study, tensile test, hardness test, metallurgical test, composition analysis of sticking elements were conducted to identify the root cause of tube failure.

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X20CrMoV12.1강의 열화에 따른 기계적특성 평가 (The Evaluation of Mechanical Property of X20CrMoV12.1 Boiler Tube Steels)

  • 김범수;이성호;김두수;정남근
    • 동력기계공학회지
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    • 제8권3호
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    • pp.18-22
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    • 2004
  • Boiler is one of the most important utilities providing steam to turbine in order to supply mechanical energy in thermal power plant. It is composed of thousands of tubes for high efficient heat transfer. The material for boiler tubes is used in such high temperature and pressure condition as $540^{\circ}C$, 22MPa. The boiler tube material is required to resist creep damage, fatigue cracking, and corrosion damages. 2.25%Cr-1Mo steel is used for conventional boiler tubes, and austenitenite stainless steel is used for higher temperature boiler tubes. But the temperature and pressure of steam in power plant became higher for high plant efficiency. So, the property of boiler tube material must be upgaded to fit the plant property. Several boiler tube material was developed to fit such conditions. X20CrMoV12.1 steel is also developed in 1980's and used for superheater and reheater tubes in supercritical boilers. The material has martensite microstructures which is difficult to evaluate the degradation. In this thesis, degrade the X20CrMoV12.1 steel at high temperatures in electric furnace, and evaluate hardness with Vickers hardness tester and strengths with Indentation tester.

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GA를 이용한 보일러-터빈 설비의 모델 추종형 다변수 제어 시스템 설계를 위한 취적 가중치 행렬의 선정 (A Selection of Optimal Weighting matrix for Model Following Multivariable Control System to Boiler-Turbine Equipment Using GA)

  • 황현준;정호성
    • 조명전기설비학회논문지
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    • 제13권2호
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    • pp.102-110
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    • 1999
  • 본 연구에서는 유전 알고리즘을 사용하여 복잡한 최적화의 과정이없이 가중치 행렬 Q, R을 동시에 최적화함으로써 상태변수들의 결합과 동작점의 변화에 따른 시스템의 파라미터 변동 등에도 불구하고 기준모델의 출력을 최적으로 추종하는 모델 추종형 제어 시스템을 설계법으로 제시하고 이를 보일러-터빈 설비를 위한 모델 추종형 다변수 제어 시스템의 설계에 적용하고자 한다. 또한 컴퓨터 시뮬레이션을 통하여 설계된 모델 추종형 제어 시스템의 성능을 비교고찰하고 그 유용성을 확인하다.

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유전 알고리즘 기반의 강인한 성능을 가지는 모델추종형 보일러-터빈 H∞ 제어 시스템의 설계 (A Design of GA-Based Model-Following Boiler-Turbine H∞ Control System Having Robust Performance)

  • 황현준
    • Journal of Advanced Marine Engineering and Technology
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    • 제36권1호
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    • pp.126-132
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    • 2012
  • 본 연구에서는 강인한 성능을 가지는 모델추종형 H${\infty}$ 제어기의 설계법을 제시한다. 이를 위해 강인한 성능을 보장하는 해집단내에서 기준모델의 출력을 최적으로 추종하도록 유전 알고리즘을 사용하여 가중치 함수와 설계 파라미터 ${\gamma}$를 동시에 최적화한다. 설계된 H${\infty}$ 제어기는 강인한 성능에 관한 필요충분조건식을 만족함은 물론 설계사양에 따른 만족스러운 응답특성을 가진다. 제시된 방법을 보일러-터빈 제어 시스템에 적용하여 그 유용성을 확인한다.

신경망 적응 제어를 이용한 보일러-터빈 제어시스템 설계 (A Design of the Boiler-Turbine Controller Using Neural Adaptive Control Schemes)

  • 이선호;김관수;이병기;이순영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 D
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    • pp.2455-2457
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    • 2000
  • In this paper, it is proposed a neural adaptve control algorithm for boiler-turbine system. Control inputs are constructed using RBF Neural networks and variable structure inputs are added to improve the robustness. This proposed algorithm does not need the information about parameters and can assure the robustness under the output disturbance and parameter perturbations. The results of computer simulations is presented to verify the efficiency of the proposed algorithm.

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