• Title/Summary/Keyword: power plant modeling

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Study on the Fire Hazard and Risk Analysis Derived from the Plant Configuration Change During the Shutdown Period at Nuclear Power Plants

  • Jee Moon-Hak;Hong Sung-Yull;Sung Chang-Kyung;Jung Hyun-Jong
    • Nuclear Engineering and Technology
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    • v.35 no.6
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    • pp.547-555
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    • 2003
  • Fire hazard and risk analysis at Nuclear Power Plants is implemented on the basis of the normal operational configuration. This steady configuration, however, can be changed due to the temporary displacement of equipment, electric cable and irregular movement of workers through the fire compartments when the on-line maintenance is processed during the power operation mode or the scheduled outage mode for the refueling. With the consequence of this configuration change, the fire analysis condition and the evaluation result will be different from those that were analyzed based on the steady configuration. In this context, at this paper, the general items for the reassessment are categorized when the configuration has changed. The contemporary zone models for the detail fire analysis are also illustrated for their application for each classified condition.

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.

A development of the maintenance function for the solar power plant based on IoT (IoT 기반의 태양광 발전소 유지보수 기능의 개발)

  • Nam, Kang-Hyun;Jeong, Moon-Jae
    • The Journal of the Korea institute of electronic communication sciences
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    • v.10 no.10
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    • pp.1157-1162
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    • 2015
  • The maintenance function of Solar power plant is configured with Sensor devices, Gateway, and Maintenance Function Platform. In this paper, we designed gateway resource tree and service scenario to fit the Maintenance Function and demonstrated appropriate operation of the maintenance service through intelligent functional modeling.

Performance improvement of Classification of Steam Generator Tube Defects in Nuclear Power Plant Using Neural Network (신경회로망을 이용한 원전SG 세관 결함패턴 분류성능 향상기법)

  • Jo, Nam-Hoon;Han, Ki-Won;Song, Sung-Jin;Lee, Hyang-Beom
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.56 no.7
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    • pp.1224-1230
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    • 2007
  • In this paper, we study the classification of defects at steam generator tube in nuclear power plant using eddy current testing (ECT). We consider 4 defect patterns of SG tube: I-In type, I-Out type, V-In type, and V-Out type. Through numerical analysis program based on finite element modeling, 400 ECT signals are generated by varying width and depth of each defect type. In order to improve the classification performance, we propose new feature extraction technique. After extracting new features from the generated ECT signals, multi-layer perceptron is used to classify the defect patterns. Through the computer simulation study, it is shown that the proposed method achieves 100% classification success rate while the previous method yields 91% success rate.

Development of reutilization system for Nuclear Power Plant Component using Object-Oriented Systems Engineering Method

  • Yeo, Tae Ho;Kim, Tae Ryong;Kim, Chang Lak
    • Journal of the Korean Society of Systems Engineering
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    • v.12 no.2
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    • pp.69-80
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    • 2016
  • The purpose of this study is to establish a component reutilization system in Nuclear Power Plant (NPP) by Object-Oriented Systems Engineering Method (OOSEM). Unified Modeling Language (UML) is mainly used for OOSEM. Operational Concept (OpsCon), Use cases, Structure Diagrams, and Behavior Diagrams are developed to analyze stakeholders needs, system requirements, logical architecture, and physical architecture. Based on the current decommissioning and purchasing system of the component, some activities from their systems were excepted and additional new activities were developed for a component reutilization system.

Improved prediction of Pump Turbine Dynamic Behavior using a Thoma number dependent Hill Chart and Site Measurements

  • Manderla, Maximilian;Kiniger, Karl N.;Koutnik, Jiri
    • International Journal of Fluid Machinery and Systems
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    • v.8 no.2
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    • pp.63-72
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    • 2015
  • Water hammer phenomena are important issues for the design and the operation of hydro power plants. Especially, if several reversible pump-turbines are coupled hydraulically there may be strong unit interactions. The precise prediction of all relevant transients is challenging. Regarding a recent pump-storage project, dynamic measurements motivate an improved turbine modeling approach making use of a Thoma number dependency. The proposed method is validated for several transient scenarios and turns out to improve correlation between measurement and simulation results significantly. Starting from simple scenarios, this allows better prediction of more complex transients. By applying a fully automated simulation procedure broad operating ranges of the highly nonlinear system can be covered providing a consistent insight into the plant dynamics. This finally allows the optimization of the closing strategy and hence the overall power plant performance.

Development of Seismic Stability Evaluation Technology for Rock Foundation of Nuclear Power Plant (원전 기초지반의 내진안정성 평가절차 개발)

  • Hwang, Seong-Chun;Jang, Jung-Bum;Lee, Dae-Su;Kim, Yun-Chil
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2005.03a
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    • pp.74-81
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    • 2005
  • The purpose of this study is to suggest a proper analysis model that can evaluate seismic stability for local rock foundation of nuclear power plant. Sliding Analysis, Pseudo-static Analysis and Danamic Analysis methods are used for analysing NPP rock foundation with the conditions like acting directions of input earthquake, boundary conditions, width and depth of analysing model, and modeling methods of weakness fault zones. As the results of study, Pseudo-static Analysis for lateral roller and dynamic analysis for transfer boundary condition showed good results, and analysing ranges of width and depth were 5 times of structure width and over 2 times of structure depth.

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On the Analysis of Dynamic Characteristics of Pipe Supporting Hydraulic Snubber in Electric Power Plant with State-space Model and Impulse Testing (상태공간 모델과 임펄스 시험에 의한 발전소 배관지지용 유압완충기의 동특성 해석)

  • Lee, Jae-Cheon;Im, Mun-Hyeok;Hwang, Tae-Yeong
    • Journal of the Korean Society for Precision Engineering
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    • v.19 no.10
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    • pp.130-138
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    • 2002
  • This paper presents the modeling and analysis of dynamic characteristics of hydraulic snubber in electric power plant. The nonlinear state-space model of 14th order to describe the dynamics of the snubber was established by Simulink. The simulation results show that the hydraulic snubber reacts as like the conventional shock absorbers against the high pulse shock load. The snubber also shows the peculiar characteristics to the small step load, which temporarily lock the control valves up, however maintain same steady-state pressures of all internal chambers in the long run. Two case studies for the analysis of the snubber were addressed. Practical pulse testing method was also proposed to identify the frequency response characteristics of the snubber.

A Study on Driving Control of an Autonomous Guided Vehicle Using Humoral Immune Algorithm(HIA) Adaptive Controller (생체면역알고리즘 적응 제어기를 이용한 AGV 주행제어에 관한 연구)

  • Lee, K.S.;Suh, J.H.;Lee, Y.J.
    • Journal of Power System Engineering
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    • v.9 no.4
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    • pp.194-201
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    • 2005
  • In this paper, we propose an adaptive mechanism based on humoral immune algorithm and neural network identifier technique. It is also applied for an autonomous guided vehicle (AGV) system. When the immune algorithm is applied to the PID controller, there exists the case that the plant is damaged due to the abrupt change of PID parameters since the parameters are almost adjusted randomly. To slove this problem, we use the neural network identifier technique for modeling the plant humoral immune algorithm (HIA) which performs the parameter tuning of the considered model, respectively. Finally, the experimental results for control of steering and speed of AGV system illustrate the validity of the proposed control scheme. Also, these results for the proposed method show that it has better performance than other conventional controller design method such as PID controller.

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Analysis on a Power Transaction with Fuel-Constrained Generations in an Electricity Market (연료제약 발전기를 고려한 전력거래 해석기법 연구)

  • 이광호
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.8
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    • pp.484-489
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    • 2004
  • When the energy resource available to a particular plant (be it coal, oil, gas, water, or nuclear fuel) is a limiting factor in the operation of the plant, the entire economic dispatch calculation must be done differently. Each economic dispatch calculation must account for what happened before and what will happen in the future. This paper presents a formulation and a solution method for the optimization problem with a fuel constraint in a competitive electricity market. Take-or- Pay (TOP) contract for an energy resource is the typical constraint as a limiting factor. Two approaches are proposed in this paper for modeling the dispatch calculation in a market mechanism. The approaches differ in the subject who considers and inserts the fuel-constraint into its optimization problem. Market operator and each power producer having a TOP contract are assumed as such subjects. The two approaches are compared from the viewpoint of profits. surplus. and social welfare on the basis of Nash Equilibrium.