• 제목/요약/키워드: electrical parameter estimation

검색결과 557건 처리시간 0.024초

고온초전도 BSCCO 팬케이크 권선에 인가되는 자장과 임계전류의 산정 (Estimation of the Magnetic Field and the Critical Current of HTS BSCCO Pancake Windings)

  • 구명환;강명훈;이희준;차귀수
    • 전기학회논문지
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    • 제57권11호
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    • pp.1970-1975
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    • 2008
  • Critical current of the superconducting machines is limited by the magnetic field. When the magnetic field is not uniform, it is difficult to estimate the magnetic field and the critical current. This paper proposed a method for the estimation of the magnetic field and the critical current of the HTS pancake windings which can be used to generate the high field magnet. A parameter which was needed to calculate the critical current of a BSCCO magnet with 10 pancake windings was obtained by the experiment. Test which was carried out by using single pancake winding and magnet consisting of 10 pancake windings shows the proposed method can be an effective method for the estimation of the critical current of pancake windings.

최소자승법을 이용한 $Y-\triangle$ 누설 인덕턴스 추정 방법 (Leakage Inductance Estimation of $Y-\triangle$ Transformer Using the Least Square Method)

  • 황태근;이병은;장성일;김용균;강용철
    • 전기학회논문지
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    • 제56권4호
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    • pp.645-650
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    • 2007
  • This paper proposes a parameter estimation technique of a power transformer. Based on the combined equation, it estimates separately the primary and secondary leakage inductances using the least square method from the instantaneous voltages and currents in the steady state. The performance of the proposed technique was investigated by varying the cut-off frequency of the filter and the number of samples per cycle. The estimated values are obtained based on the average value for 41 cycle.

Butterworth Window for Power Spectral Density Estimation

  • Yoon, Tae-Hyun;Joo, Eon-Kyeong
    • ETRI Journal
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    • 제31권3호
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    • pp.292-297
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    • 2009
  • The power spectral density of a signal can be estimated most accurately by using a window with a narrow bandwidth and large sidelobe attenuation. Conventional windows generally control these characteristics by only one parameter, so there is a trade-off problem: if the bandwidth is reduced, the sidelobe attenuation is also reduced. To overcome this problem, we propose using a Butterworth window with two control parameters for power spectral density estimation and analyze its characteristics. Simulation results demonstrate that the sidelobe attenuation and the 3 dB bandwidth can be controlled independently. Thus, the trade-off problem between resolution and spectral leakage in the estimated power spectral density can be overcome.

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Performance Evaluation of Distributed Clustering Protocol under Distance Estimation Error

  • Nguyen, Quoc Kien;Jeon, Taehyun
    • International Journal of Internet, Broadcasting and Communication
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    • 제10권1호
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    • pp.11-15
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    • 2018
  • The application of Wireless Sensor Networks requires a wise utilization of limited energy resources. Therefore, a wide range of routing protocols with a motivation to prolong the lifetime of a network has been proposed in recent years. Hierarchical clustering based protocols have become an object of a large number of studies that aim to efficiently utilize the limited energy of network components. In this paper, the effect of mismatch in parameter estimation is discussed to evaluate the robustness of a distanced based algorithm called distributed clustering protocol in homogeneous and heterogeneous environment. For quantitative analysis, performance simulations for this protocol are carried out in terms of the network lifetime which is the main criteria of efficiency for the energy limited system.

ITS설비의 안정화를 위한 대지파라미터 및 등가대지저항률 추정 알고리즘 개발 (A Development of Earth Parameters and Equivalent Resistivity Estimation Algorithm for ITS Facility Stabilization)

  • 이종필;임재윤;지평식
    • 전기학회논문지P
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    • 제62권4호
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    • pp.186-191
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    • 2013
  • Earth equipments are essential to protect ITS facilities from abnormal situation. In this research, an estimation algorithm of earth parameters and equivalent resistivity is introduced. Traditional estimation methods can be divided into graphic method and numerical method. The result of graphic method is varied by the ability of expert or repeated calculation and it is hard to estimate the parameters precisely. The numerical method requires special techniques such as optimizing theory, and numerous calculations, whose results can be varied with initial values. The proposed algorithm is based on the relationship between apparent resistances and earth parameters and approximates the nonlinear characteristics of earth using ANN(artificial neural networks). The effectiveness of proposed method is verified in case studies.

Enhanced Inter-Symbol Interference Cancellation Scheme for Diffusion Based Molecular Communication using Maximum Likelihood Estimation

  • Raut, Prachi;Sarwade, Nisha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권10호
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    • pp.5035-5048
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    • 2016
  • Nano scale networks are futuristic networks deemed as enablers for the Internet of Nano Things, Body area nano networks, target tracking, anomaly/ abnormality detection at molecular level and neuronal therapy / drug delivery applications. Molecular communication is considered the most compatible communication technology for nano devices. However, connectivity in such networks is very low due to inter-symbol interference (ISI). Few research papers have addressed the issue of ISI mitigation in molecular communication. However, many of these methods are not adaptive to dynamic environmental conditions. This paper presents an enhancement over original Memory-1 ISI cancellation scheme using maximum likelihood estimation of a channel parameter (λ) to make it adaptable to variable channel conditions. Results of the Monte Carlo simulation show that, the connectivity (Pconn) improves by 28% for given simulation parameters and environmental conditions by using enhanced Memory-1 cancellation method. Moreover, this ISI mitigation method allows reduction in symbol time (Ts) up to 50 seconds i.e. an improvement of 75% is achieved.

Identification of Dynamic Load Model Parameters Using Particle Swarm Optimization

  • Kim, Young-Gon;Song, Hwa-Chang;Lee, Byong-Jun
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제10권2호
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    • pp.128-133
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    • 2010
  • This paper presents a method for estimating the parameters of dynamic models for induction motor dominating loads. Using particle swarm optimization, the method finds the adequate set of parameters that best fit the sampling data from the measurement for a period of time, minimizing the error of the outputs, active and reactive power demands and satisfying the steady-state error criterion.

회전변위 제약을 갖는 회진형 도립진자의 스윙업 제어 (Swing up Control for a rotary pendulum with restricted rotation range)

  • 오장진;이영삼
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2007년도 심포지엄 논문집 정보 및 제어부문
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    • pp.133-134
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    • 2007
  • A swing-up control strategy is suggested for a rotary inverted pendulum with restricted rotation range. In order to take the rotation range limitation into account, a new Lyapunov function used for energy-based control is proposed a control strategy is derived from the Lyapunov function. Futhermore, optimization-base parameter estimation is adopted to get an exact mathematical model for the pendulum. Simulation results show that the proposed control strategy swings up the rotary inverted pendulum efficiently.

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MATLAB을 이용한 송전선로의 아크사고 검출 및 고장거리 추정 소프트웨어 개발에 관한 연구 (A Study on the Defection of Arcing Faults in Transmission Lines and Development of Fault Distance Estimation Software using MATLAB)

  • 김병천;박남옥;김동수;김길환
    • 대한전기학회논문지:전력기술부문A
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    • 제51권4호
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    • pp.163-168
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    • 2002
  • This paper present a new verb efficient numerical algorithm for arcing faults detection and fault distance estimation in transmission line. It is based on the fundamental differential equations describing the transients on a transmission line before, during and alter the fault occurrence, and on the application of the "Least Error Squares Technique"for the unknown model parameter estimation. If the arc voltage estimated is a near zero, the fault is without arc, in other words the fault is permanent fault. If the arc voltage estimated has any high value, the faust is identified as an fault, or the transient fault. In permanent faults case, fault distance estimation is necessary. This paper uses the model of the arcing fault in transmission line using ZnO arrestor and resistance to be implemented within EMTP. One purpose of this study is to build a structure for modeling of arcing fault detection and fault distance estimation algorithm using Matlab programming. In this paper, This algorithm has been designed in Graphic user interface(GUI).

수용가 냉방부하를 고려한 하절기 주상변압기 최대부하 추정 (Peak Load Estimation of Pole-Transformer in Summer Season Considering the Cooling Load of Customer)

  • 윤상윤;김재철;김기현;임진순
    • 대한전기학회논문지:전력기술부문A
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    • 제50권1호
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    • pp.20-27
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    • 2001
  • In this paper, we propose a method for estimating the peak load of pole-transformer in summer season considering the degree of cooling load possession in customer. The cooling load of customer is selected as the most reliable parameter of peak load in summer season. The proposed estimation method is restricted to the aspect of load management for pole-transformer. The main concept of proposed method is that the error of peak load estimation using load regression equation reduces with considering the degree of cooling load possession in customer. We propose an index for estimation of cooling load possession in each customer. The proposed index is defined as cooling load possession in customer (CLPC) and obtained from the increment of monthly electric energy. The membership function for deciding the uncertainty of cooling load possession in customer is used. The database of pole-transformer in Korea Electric Power Corporation (KEPCO) is used for case studies. Through the case studies, we verify that the proposed method reduces the error of peak load estimation than the conventional method in domestic.

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