• Journal of Power Electronics
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• 제14권1호
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• pp.92-104
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• 2014

To insure stable operation and eliminate twice torque ripple, a topology for a six phase permanent magnet synchronous generator (SP-PMSG) with a neutral point connected together was analyzed in this paper. By adopting an extended transformation matrix, the mathematic model of the space vector control was established. The voltage and torque equations were deduced while considering the third harmonic flux and inductance. In addition, the suppression third harmonic method and the closed loop control strategy were proposed. A comparison analysis indicates that the cooper loss minimum method and the current magnitude minimum method can meet different application requirements. The voltage compensation amount for each of the methods was deduced which also takes into account the third harmonic effect. A simulation and experimental result comparison validates the consistency through theoretical derivation. It can be seen that all of the two control strategies can meet the requirements of post-fault.

• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1998년도 춘계학술발표회논문집(1)
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• pp.264-270
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• 1998

This research broadens the prime concern of nuclear power plant operations from safe performance to both economic and safe performance. First emergency diesel generator is identified as one of main contributors for the lost plant availability through the review of plants forced outage records. The framework of an integrated architecture for performing modern on-line condition for operational availability improvement is configured in this work. For the development of the comprehensive sensor networks for complex target systems, an integrated methodology incorporating a structural hierarchy, a functional hierarchy, and a fault-system matrix is formulated. The second part of our research is development of intelligent diagnosis and maintenance advisory system, which employs Bayesian Belief networks (BBNs) as a high level reasoning tool incorporating inherent uncertainty use in probabilistic inference. Our prototype diagnosis algorithms are represented explicitly through topological symbols and links between them in a causal direction. As new evidence from sensor network development is entered into the model especially, our advisory of system provides operational advice concerning both availability and safety, so that the operator is able to determine the likely modes, diagnose the system state, locate root causes, and take the most advantageous action. Thereby, this advice improves operational availability

• Nuclear Engineering and Technology
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• 제54권4호
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• pp.1374-1381
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• 2022

Under the influence of nuclear radiation, the reliability of steam generators (SGs) is an important factor in the efficiency and safety of nuclear power plant (NPP) reactors. Motion planning that remotely manipulates an SG mobile tube-inspection robot to inspect SG heat transfer tubes is the mainstream trend of NPP robot development. To achieve motion planning, conditional traversal is usually used for base position optimization, and then the A^* algorithm is used for path planning. However, the proposed approach requires considerable processing time and has a single expansion during path planning and plan paths with many turns, which decreases the working speed of the robot. Therefore, to reduce the calculation time and improve the efficiency of motion planning, modifications such as the matrix method, improved parent node, turning cost, and improved expanded node were proposed in this study. We also present a comprehensive evaluation index to evaluate the performance of the improved algorithm. We validated the efficiency of the proposed method by planning on a tube sheet with square-type tube arrays and experimenting with Model SG.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2012년도 춘계학술대회
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• pp.95-98
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• 2012

본 논문은 40 MHz에서 280 MHz 동작 주파수에서 32-phase clock을 출력하는 multiphase delay-locked loop (DLL)을 제안한다. 제안된 multiphase DLL은 고해상도의 1-bit delay를 위하여 matrix구조의 delay line을 사용한다. Delay line의 선형성을 향상시키기 위하여 matrix 입력단의 비선형성을 보정할 수 있는 기법이 사용된다. 설계된 multiphase DLL은 1.2 V supply를 이용하는 0.11-${\mu}m$ CMOS 공정에서 제작되었다. 125 MHz 동작 주파수에서 multiphase DLL의 DNL은 +0.51/-0.12 LSB 이하로 측정되었으며, input clock의 jitter가 peak-to-peak jitter가 12.9ps일 때 출력clock의 peak-to-peak jitter는 30 ps이다. 면적과 전력 소모는 각각 $480{\times}550{\mu}m^2$과 1.2 V 공급전압에서 9.6 mW이다.

• 한국지능시스템학회논문지
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• 제22권1호
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• pp.56-61
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• 2012

본 논문에서는 이중여자 유도발전기 기반 가변속도 풍력발전 시스템의 퍼지 모델링 및 안정도 해석에 관하여 다루고자 한다. 일반적인 풍력발전 시스템은 복잡한 비선형성 기반 동적방정식으로 구성되며, 플랜트를 구성하는 각 파라미터 수치 역시 주변 환경에 의해 변화할 여지가 있다. 풍력발전 시스템의 해석을 위하여 본 논문에서는 비선형성 및 불확실성에 강인한 퍼지 제어 기법을 기반으로 제어이론을 구성하고자 한다. 이중여자 유도발전기 기반 풍력발전 시스템의 퍼지 모델링 및 시스템 안정화를 위한 퍼지 제어기 설계 기법이 제안된다. 해당 제어 기법은 리아푸노프 기반 안정도 해석에 의해 점근 안정도를 보장받게 되며, 가상 시뮬레이션을 통한 시스템 효율성을 입증하게 된다.

• 한국통신학회논문지
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• 제42권2호
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• pp.307-315
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• 2017

암호시스템에서 난수발생기는 필수적인 요소이다. 최근에 IoT, Sensor Network, SmartHome와 같은 소형 디바이스를 사용하는 환경이 등장하면서, 이에 적합한 다양한 경량 암호들이 개발되고 있다. 하지만 리소스 제한, 엔트로피 수집의 어려움 등의 문제로 인하여, 기존의 데스크 탑에 초점을 두고 만들어진 난수발생기가 제대로 동작하는 것이 어려워지고 있다. 본 논문에서 경량 환경에서 안전한 난수를 생성하는 방법으로 경량 난수발생기 설계를 소개한다. 구조는 헨켈 매트릭스와 블록암호를 사용하고 잡음원으로 센서를 사용한다. 또한 소형 디바이스 중에서 가장 대표적인 Arduino보드에 설계한 경량 난수발생기를 구현하고, 구현 결과로 센서 데이터와 최종 출력 난수의 엔트로피 값을 측정하고 평가함으로써 효율성과 안전성을 확인한다.

• 한국전기전자재료학회논문지
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• 제37권1호
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• pp.112-117
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• 2024

The Internet of Things (IoT) device is a key component for Industry 4.0, which is the network in homes, factories, buildings, and infrastructures to monitor and control the systems. To demonstrate the IoT network, batteries are widely utilized as power sources, and the batteries inevitably require repeated replacement due to their limited capacity. Magneto-mechano-electric (MME) generators are one of the candidate to develop self-powered IoT systems since MME generators can harvest electricity from stray alternating current (AC) magnetic fields arising from electric power cables. Herein, we report a magneto-mechano-triboelectric generator enabled by a ferromagnetic-ferroelectric composite. In the triboelectric nylon matrix, a ferromagnetic carbonyl iron powder (CIP) was introduced to induce magnetic force near the AC magnetic field for MME harvesting. Additionally, a ferroelectric ceramic powder was also added to the MME composite material to enhance the charge-trapping capability during triboelectric harvesting. The final ferromagnetic-ferroelectric composite-based MME triboelectric harvester can generate an open-circuit voltage and a short-circuit current of 110 V and 8 μA, respectively, which were enough to turn on a light emitting diode (LED) and charge a capacitor. These results verify the feasibility of the MME triboelectric generator for not only harvesting electricity from an AC magnetic field but also for various self-powered IoT applications.

• 대한산업공학회지
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• 제27권1호
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• pp.61-68
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• 2001

A rotor system is composed of a rotating shaft with supporting bearings. The rotor system is widely used in every rotating machinery such as the turbine generator and the high precision machine tools. A negligible error or malfunction in the rotor, however, can cause a catastrophic failure in the system then result in the environmental and economic disasters. A diagnosis of the rotor system is important in preventing these kinds of failures and disasters. Up to now, many researchers have devoted in the development of diagnosing tools for the system. The basic principles behind the tools are to retrieve the data through the sensors for a specific state of the system and then to identify the specific state through the heuristic methods such as neural network, fuzzy logic, and decision matrix. The proper usage of the heuristic methods will enhance the performance of the diagnostic procedure when together used with the statistical signal processing. In this paper, the methodologies in using the above 3 heuristic methods for the diagnostics of the rotor system are established and also tested and validated for the data retrieved from the rolling element bearing and journal bearing supported system.

• Journal of Electrical Engineering and Technology
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• 제12권4호
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• pp.1397-1405
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• 2017

As the introduction of wind power is steadily increasing, negative effects of wind power become more important. To operate a power system more reliable, the system operator needs to recognize the maximum required capacity of available generators for a certain period. For recognizing the maximum capacity, this paper proposes a methodology to determine an optimal reserve requirement considering wind power, for the certain period in the mid-term perspective. As wind speed is predicted earlier, the difference of the forecasted and the actual wind speed becomes greater. All possible forecast errors should be considered in determining optimal reserve, and they are represented explicitly by the proposed matrix form in this paper. In addition, impacts of the generator failure are also analyzed using the matrix form. Through three main stages which are the scheduling, contingency and evaluation stages, costs associated with power generation, reserve procurement and the usage, and the reliability cost are calculated. The optimal reserve requirement is determined so as to minimize the sum of these costs based on the cost/reliability analysis. In case study, it is performed to analyze the impact of wind power penetration on the reserve requirement, and how major factors affect it.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1989년도 하계종합학술대회 논문집
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• pp.202-206
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• 1989

A new algorithm is suggested to solve the optimal reactive power control(optimal VAR control) problem. An efficient computer program based on the latest achievements in the sparse matrix/vector techniques has been developed for this purpose. The model minimizes the real power losses in the system. The constraints include the reactive power limits of the generators, limits on the bus voltages and the operating limits of control variables- the transformer tap positions, generator terminal voltages and switchable reactive power sources. The method developed herein employs linearized sensitivity relationships of power systems to establish both the objective function for minimizing the system losses and the system performance sensitivities relating dependent and control variables. The algorithm consists of two modules, i.e. the Q-V module for reactive power-voltage control, Load flow module for computational error adjustments. In particular, the acceleration factor technique is introduced to enhance the convergence property in Q-module, The combined use of the afore-mentioned two modules ensures more effective and efficient solutions for optimal reactive power dispatch problems. Results of the application of the method to the sample system and other worst-case system demonstrated that the algorithm suggested herein is compared favourably with conventional ones in terms of computation accuracy and convergence characteristics.