• 제목/요약/키워드: Power Vector

검색결과 1,571건 처리시간 0.026초

1290 MHz 산란 신호의 고도별 파워 스펙트럼 밀도에 기반한 시선 속도와 모멘트 산출 (Retrieval of Radial Velocity and Moment Based on the Power Spectrum Density of Scattered 1290 MHz Signals with Altitude)

  • 조원기;권병혁;윤홍주
    • 한국전자통신학회논문지
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    • 제13권6호
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    • pp.1191-1198
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    • 2018
  • 윈드프로파일러 레이더는 고정점에서 대기물리 신호와 바람 벡터의 연직 프로파일을 제공한다. 바람 벡터는 제조사의 자료 처리 프로그램으로 산출되기 때문에 품질 관리에 한계가 있다. 따라서 바람 벡터의 품질을 향상시키기 위해서 원시 스펙트럼 자료의 이해와 활용이 이루어져야 한다. 바람 벡터의 원시 자료는 바이너리 형태로 저장되는 파워 스펙트럼 밀도이다. 본 연구에서는 원시 자료를 실수형 스펙트럼 밀도로 변환하는 알고리즘을 완성하고 스펙트럼 기반 0차와 1차 모멘트를 구현하여 원시 자료의 활용을 평가하였다.

Improved Direct Power Control of Shunt Active Power Filter with Minimum Reactive Power Variation and Minimum Apparent Power Variation Approaches

  • Trivedi, Tapankumar;Jadeja, Rajendrasinh;Bhatt, Praghnesh
    • Journal of Electrical Engineering and Technology
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    • 제12권3호
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    • pp.1124-1136
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    • 2017
  • Direct Power Control technique has become popular in the grid connected Voltage Source Converter (VSC) applications due to its simplicity, direct voltage vector selection and improved dynamic performance. In this paper, a direct method to determine the effect of voltage vector on the instantaneous active and reactive power variations is developed. An alternative Look Up Table is proposed which minimizes the commutations in the converter and results in minimum reactive power variation. The application of suggested table is established for Shunt Active Power Filter (SAPF) application. The Predictive Direct Power Control method, which minimizes apparent power variation, is further investigated to reduce commutations in converters. Both the methods are validated using 2 kVA laboratory prototype of Shunt Active Power Filters (SAPF).

Influencing factors and prediction of carbon dioxide emissions using factor analysis and optimized least squares support vector machine

  • Wei, Siwei;Wang, Ting;Li, Yanbin
    • Environmental Engineering Research
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    • 제22권2호
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    • pp.175-185
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    • 2017
  • As the energy and environmental problems are increasingly severe, researches about carbon dioxide emissions has aroused widespread concern. The accurate prediction of carbon dioxide emissions is essential for carbon emissions controlling. In this paper, we analyze the relationship between carbon dioxide emissions and influencing factors in a comprehensive way through correlation analysis and regression analysis, achieving the effective screening of key factors from 16 preliminary selected factors including GDP, total population, total energy consumption, power generation, steel production coal consumption, private owned automobile quantity, etc. Then fruit fly algorithm is used to optimize the parameters of least squares support vector machine. And the optimized model is used for prediction, overcoming the blindness of parameter selection in least squares support vector machine and maximizing the training speed and global searching ability accordingly. The results show that the prediction accuracy of carbon dioxide emissions is improved effectively. Besides, we conclude economic and environmental policy implications on the basis of analysis and calculation.

ESTIMATION OF THE POWER PEAKING FACTOR IN A NUCLEAR REACTOR USING SUPPORT VECTOR MACHINES AND UNCERTAINTY ANALYSIS

  • Bae, In-Ho;Na, Man-Gyun;Lee, Yoon-Joon;Park, Goon-Cherl
    • Nuclear Engineering and Technology
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    • 제41권9호
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    • pp.1181-1190
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    • 2009
  • Knowing more about the Local Power Density (LPD) at the hottest part of a nuclear reactor core can provide more important information than knowledge of the LPD at any other position. The LPD at the hottest part needs to be estimated accurately in order to prevent the fuel rod from melting in a nuclear reactor. Support Vector Machines (SVMs) have successfully been applied in classification and regression problems. Therefore, in this paper, the power peaking factor, which is defined as the highest LPD to the average power density in a reactor core, was estimated by SVMs which use numerous measured signals of the reactor coolant system. The SVM models were developed by using a training data set and validated by an independent test data set. The SVM models' uncertainty was analyzed by using 100 sampled training data sets and verification data sets. The prediction intervals were very small, which means that the predicted values were very accurate. The predicted values were then applied to the first fuel cycle of the Yonggwang Nuclear Power Plant Unit 3. The root mean squared error was approximately 0.15%, which is accurate enough for use in LPD monitoring and for core protection that uses LPD estimation.

Application of Multiple Parks Vector Approach for Detection of Multiple Faults in Induction Motors

  • Vilhekar, Tushar G.;Ballal, Makarand S.;Suryawanshi, Hiralal M.
    • Journal of Power Electronics
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    • 제17권4호
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    • pp.972-982
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    • 2017
  • The Park's vector of stator current is a popular technique for the detection of induction motor faults. While the detection of the faulty condition using the Park's vector technique is easy, the classification of different types of faults is intricate. This problem is overcome by the Multiple Park's Vector (MPV) approach proposed in this paper. In this technique, the characteristic fault frequency component (CFFC) of stator winding faults, rotor winding faults, unbalanced voltage and bearing faults are extracted from three phase stator currents. Due to constructional asymmetry, under the healthy condition these characteristic fault frequency components are unbalanced. In order to balanced them, a correction factor is added to the characteristic fault frequency components of three phase stator currents. Therefore, the Park's vector pattern under the healthy condition is circular in shape. This pattern is considered as a reference pattern under the healthy condition. According to the fault condition, the amplitude and phase of characteristic faults frequency components changes. Thus, the pattern of the Park's vector changes. By monitoring the variation in multiple Park's vector patterns, the type of fault and its severity level is identified. In the proposed technique, the diagnosis of faults is immune to the effects of unbalanced voltage and multiple faults. This technique is verified on a 7.5 hp three phase wound rotor induction motor (WRIM). The experimental analysis is verified by simulation results.

철근콘크리트 쉘 요소의 강성행렬 계산을 위한 벡터알고리즘 (Vector Algorithm for RC Shell Element Stiffness Matrix)

  • 민창식
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1994년도 가을 학술발표회 논문집
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    • pp.25-30
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    • 1994
  • A vector algorithm for calculating the stiffness matrices of reinforced concrete shell elements is presented. The algorithm is based on establishing vector lengths equal to the number of elements. The computational efficiency of the proposed algorithm is assessed on a Cray Y-MP supercomputer. It is shown that the vector algorithm achieves scalar-to-vector speedup of 1.7 to 7.6 on three inelastic problems.

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80C196MC를 이용한 유도전동기 벡터제어 (Vector Control of Induction Motors using 80C196MC)

  • 이동명;김창현;이주환;김학원;홍석종;김종철;신휘범
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 1997년도 전력전자학술대회 논문집
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    • pp.156-160
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    • 1997
  • This paper proposed the vector controller of induction motors using one chip microprocessor. For developing a small and cheep speed control system, we use the one chip microprocessor 80C196MC. By using the one chip microprocessor we can make an inexpensive and small-sized vector controller for induction motors. We apply indirect vector control method and space vector modulation method to this system. The experimental results show that the proposed inverter has high performance features.

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직교 다항식 근사법과 고차 통계를 이용한 전력 외란의 자동식별 (Automatic classification of power quality disturbances using orthogonal polynomial approximation and higher-order spectra)

  • 이재상;이철호;남상원
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.1436-1439
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    • 1997
  • The objective of this paper is to present an efficient and practical approach to the automatic classification of power quality(PQ) disturbances, where and orthogonal polynomial approximation method is emloyed for the detection and localization of PQ disturbances, and a feature vector, newly extracted form the bispectra of the detected signal, is utilized for the automatic rectgnition of the various types of PQ disturbances. To demonstrae the performance and applicabiliyt of the proposed approach, some simulation results are provided.

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New Generalized SVPWM Algorithm for Multilevel Inverters

  • Kumar, A. Suresh;Gowri, K. Sri;Kumar, M. Vijay
    • Journal of Power Electronics
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    • 제18권4호
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    • pp.1027-1036
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    • 2018
  • In this paper a new generalized space vector pulse width modulation scheme is proposed based on the principle of reverse mapping to drive the switches of multilevel inverters. This projected scheme is developed based on the middle vector of the subhexagon which holds the tip of the reference vector, which plays a major role in mapping the reference vector. A new approach is offered to produce middle vector of the subhexagon which holds tip of the reference vector in the multilevel space vector plane. By using middle vector of the subhexagon, reference vector is linked towards the inner two level sub-hexagon. Then switching vectors, switching sequence and dwell times corresponding to a particular sector of a two-level inverter are determined. After that, by using the two level stage findings, the switching vectors related to exact position of the reference vector are directly generated based on principle of the reverse mapping approach and do not need to be found at n level stage. In the reverse mapping principle, the middle vector of subhexagon is added to the formerly found two level switching vectors. The proposed generalized algorithm is efficient and it can be applied to an inverter of any level. In this paper, the proposed scheme is explained for a five-level inverter and the performance is analyzed for five level and three level inverters through MATLAB. The simulation results are validated by implementing the propose scheme on a V/f controlled three-level inverter fed induction motor using dSPACE control desk.

Common Mode Voltage Cancellation in a Buck-Type Active Front-End Rectifier Topology

  • Aziz, Mohd Junaidi Abdul;Klumpner, Christian;Clare, Jon
    • Journal of Power Electronics
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    • 제12권2호
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    • pp.276-284
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    • 2012
  • AC/AC power conversion is widely used to feed AC loads with a variable voltage and/or a variable frequency from a constant voltage constant frequency power grid or to connect critical loads to an unreliable power supply while delivering a very balanced and accurate sinusoidal voltage system of constant amplitude and frequency. The load specifications will clearly impose the requirements for the inverter stage of the power converter, while wider ranges of choices are available for the rectifier. This paper investigates the utilization of a buck-type current source rectifier as the active front-end stage of an AC/AC converter for applications that require an adjustable DC-link voltage as well as elimination of the low-frequency common mode voltage. The proposed solution is to utilize a combination of two or more zero current vectors in the Space Vector Modulation (SVM) technique for Current Sources Rectifiers (CSR).