• Title/Summary/Keyword: Electrical Units

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Failure Prediction of the Generator Using a Combined Reliability Model of its Individual Components (발전기 구성요소의 신뢰도 모델 조합을 이용한 고장확률 예측)

  • Lee, Sung-Hoon;Byun, Yoong-Tae;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 2006.11a
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    • pp.372-374
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    • 2006
  • This paper presents a methodology to predict a failure probability related to the aging generating units in Korea power system. Each generator is represented by a combined reliability model of its individual components, which is determined by failure data. The Weibull distribution is used to calculate failure probability and its parameters are obtained from Type II Censoring. Consequently, the proposed methods would likely to permit utilities to reduce overall costs in the new deregulated environment.

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Application Markov State Model for the RCM of Combustion turbine Generating Unit (Markov State Model을 이용한 복합화력 발전설비의 최적의 유지보수계획 수립)

  • Shin, Jun-Seok;Lee, Seung-Hyuk;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 2006.11a
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    • pp.357-359
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    • 2006
  • Traditional time based preventive maintenance is used to constant maintenance interval for equipment life. In order to consider economic aspect for time based preventive maintenance, preventive maintenance is scheduled by RCM(Reliability-Centered Maintenance) evaluation. So, Markov state model is utilized considering stochastic state in RCM. In this paper, a Markov state model which can be used for scheduling and optimization of maintenance is presented. The deterioration process of system condition is modeled by a Markov model. In case study, simulation results about RCM are used to the real historical data of combustion turbine generating units in Korean power systems.

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Real-time Message Network System for a Humanoid Robot

  • Ahn, Sang-Min;Gong, Jung-Sik;Lee, Bo-Hee;Kim, Jin-Geol;Huh, Uk-Youl
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.2296-2300
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    • 2005
  • This paper deals with the real-time message network system by a CAN (controller area network) based on the real-time distributed control scheme to integrate actuators and sensors in a humanoid robot. In order to apply the real-time distributed processing for a humanoid robot, each control unit should have the real-time efficient control method, fast sensing method, fast calculation and real-time valid data exchange method. Moreover, the data from sensors and encoders must be transmitted to the higher level of control units in maximum time limit. This paper describes the real-time message network system design and the performance of the system.

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A Study of Economic Generation Planning for operating Power systems with Dispersed Generation (분산형 전원의 배전계통 연계시 경제적 발전 계획 수립에 대한 연구)

  • Kim, Ji-Hong;Jung, Hyeon-Soo;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 1999.07c
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    • pp.1453-1455
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    • 1999
  • This paper presents an economical generation planning for operating power systems with dispersed generation. As dispersed generation introduced into an electric power distribution system, the power system will be complicated and have much variable aspects. So there is need for developing new generation scheduling. In this paper, the proposed method is tested for distribution system with two battery storage resources. Optimal generation planning of 15 thermal units in 24-hours is achieved by improved genetic algorithm. Also, to show its effectiveness, the results are compared with those of not including battery storage resources.

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Coordinated voltage control of a DFIG-based Wind Power Plant to suppress the overvoltage after a fault clearance (사고 제어 이후 과전압 억제를 위한 DFIG 풍력단지의 협조 전압제어)

  • Park, Geon;Kim, Jinho;Kang, Yong Cheol
    • Proceedings of the KIEE Conference
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    • 2015.07a
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    • pp.175-176
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    • 2015
  • This paper presents a coordinated control scheme of a doubly-fed induction generator (DFIG)-based wind power plant (WPP) to suppress the overvoltage after a fault clearance. To achieve this, the variation of the terminal voltage at a fault clearance is captured and used to DFIG and WPP controllers. As a result, DFIGs within a WPP suppress the overvoltage rapidly by reducing the reactive power injection. The performance of the proposed scheme was investigated for a 100 MW WPP consisting of 20 units of 5 MW DFIGs for a grid fault. The results show the proposed scheme successfully suppresses the overvoltage at the point of interconnection.

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Islanding Detection for PV System Connected to a Utility Grid

  • Han, Seok-Woo;Mok, Hyung-Soo;Choe, Gyu-Ha
    • Proceedings of the KIPE Conference
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    • 1998.10a
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    • pp.719-723
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    • 1998
  • Prevention of the islanding phenomena is one of the most important issues because it can damage electrical equipment connected to the utility system and endanger human life. It is very difficult to detect an islanding condition of a power distribution line with conventional voltage of frequency relays, while the output power and the load power of utility interactive PV inverter units are in nearly balanced state in both active power and reactive power. This paper describes the protective equipment that prevents the PV system connected to the utility grid from starting islanding. Both predictive ocntrol method and harmonic injection method are used for a current control and islanding detection for operating safety.

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Use of High-performance Graphics Processing Units for Power System Demand Forecasting

  • He, Ting;Meng, Ke;Dong, Zhao-Yang;Oh, Yong-Taek;Xu, Yan
    • Journal of Electrical Engineering and Technology
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    • v.5 no.3
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    • pp.363-370
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    • 2010
  • Load forecasting has always been essential to the operation and planning of power systems in deregulated electricity markets. Various methods have been proposed for load forecasting, and the neural network is one of the most widely accepted and used techniques. However, to obtain more accurate results, more information is needed as input variables, resulting in huge computational costs in the learning process. In this paper, to reduce training time in multi-layer perceptron-based short-term load forecasting, a graphics processing unit (GPU)-based computing method is introduced. The proposed approach is tested using the Korea electricity market historical demand data set. Results show that GPU-based computing greatly reduces computational costs.

DC Arc Extinction Using External Magnetic Field in Switching Device

  • Cho Hyun-Kil;Lee Eun-Woong;Jeong Jong-Ho
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • v.5B no.4
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    • pp.306-311
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    • 2005
  • In this paper, the electromagnetic force acting in the arc column of 3 different extinction units is compared with using the FEM (Finite Element Method) and the arc velocity is calculated by the drag force of the fluid mechanics. The experiment for breaking the arc current was performed in each model at 100 volts in order to measure the arcing time. The outcome was compared with the computing value. As a result, this paper proposes that the divided U-shaped grid is able to shorten arcing time and improve the electric performance. It also suggests a methodology for comparing and analyzing the result obtained by simulation and experiment.

SPEECH SYNTHESIS USING LARGE SPEECH DATA-BASE

  • Lee, Kyu-Keon;Mochida, Takemi;Sakurai, Naohiro;Shirai, Katasuhiko
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1994.06a
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    • pp.949-956
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    • 1994
  • In this paper, we introduce a new speech synthesis method for Japanese and Korean arbitrary sentences using the natural speech data-base. Also, application of this method to a CAI system is discussed. In our synthesis method, a basic sentence and basic accent-phrases are selected from the data-base against a target sentence. Factors for those selections are phrase dependency structure (separation degree), number of morae, type of accent and phonemic labels. The target pitch pattern and phonemic parameter series are generated using those selected basic units. As the pitch pattern is generated using patterns which are directly extracted form real speech, it is expected to be more natural than any other pattern which is estimated by any model. Until now, we have examined this method on Japanese sentence speech and affirmed that the synthetic sound preserves human-like features fairly well. Now we extend this method to Korean sentence speech synthesis. Further more, we are trying to apply this synthesis unit to a CAI system.

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Value-based Distributed Generation Placements for Reliability Criteria Improvement

  • Heidari, Morteza;Banejad, Mahdi
    • Journal of Electrical Engineering and Technology
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    • v.8 no.2
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    • pp.223-229
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    • 2013
  • Restructuring and recent developments in the power system and problems arising from construction and maintenance of large power plants, increasing amount of interest in distributed generation (DG) source. Distributed generation units due to specifications, technology and location network connectivity can improve system and load point reliability indices. In this paper, the allocation and sizing of DG in distribution networks are determined using optimization. The objective function of the proposed method is to improve customer-based reliability indices at lowest cost. The placement and size of DGs are optimized using a Genetic Algorithm (GA). To evaluate the proposed algorithm, 34-bus IEEE test system, is used. The results illustrate efficiency of the proposed method.