An Improved Taylor Method for Frequency Measurement in Power Systems

The frequency of a power system is an important operational parameter for the safety, stability, and efficiency of the power system. Accurate and fast measurement of frequency is a goal required in many applications, for example, for load shedding. An improved Taylor approximation method (ITAM) algorithm is proposed, and a comparison of the new algorithm with the conventional Taylor approximation method (TAM) algorithm is presented in this paper under the assumption of the presence of a direct-current (DC) offset component, higher order harmonics, and random noise in the power system signal. The proposed ITAM has the characteristics of low computational and simple hardware requirements, as well as more accurate measurement performance. Another key feature of the algorithm is a good tracing ability for the frequency change and measurement of rate of change of the frequency of a power system.

[1]  A. T. Johns,et al.  A new approach to digital measurement of power system frequency , 1991 .

[2]  A. T. Johns,et al.  A new digital algorithm for power system frequency measurements , 1993 .

[3]  M. Sachdev,et al.  A Least Error Squares Technique For Determining Power System Frequency , 1985, IEEE Transactions on Power Apparatus and Systems.

[4]  Zoran Salcic,et al.  A new method for instantaneous power system frequency measurement using reference points detection , 2000 .

[5]  M. Giray,et al.  A Least Error Squares Technique for Determining PowerSystem , 1985 .

[6]  K. Srinivasan,et al.  A kalman filter‐based technique for combined digital estimation of voltage flicker and phasor in power distribution systems , 2007 .

[7]  J. Thorp,et al.  A New Measurement Technique for Tracking Voltage Phasors, Local System Frequency, and Rate of Change of Frequency , 1983, IEEE Transactions on Power Apparatus and Systems.

[8]  J. Rezmer,et al.  Real-time determination of power system frequency , 1996, Quality Measurement: The Indispensable Bridge between Theory and Reality (No Measurements? No Science! Joint Conference - 1996: IEEE Instrumentation and Measurement Technology Conference and IMEKO Tec.

[9]  I. F. Morrison,et al.  The measurement of power system frequency using a microprocessor , 1986 .

[10]  M.S. Sachdev,et al.  Kalman Filtering Applied to Power System Measurements Relaying , 1985, IEEE Transactions on Power Apparatus and Systems.

[11]  Milenko B. Djurić,et al.  A new self-tuning algorithm for the frequency estimation of distorted signals , 1995 .

[12]  Jong-Hoon Lee,et al.  Accurate measurement of line frequency in the presence of noise using time domain data , 1994, Conference Proceedings. 10th Anniversary. IMTC/94. Advanced Technologies in I & M. 1994 IEEE Instrumentation and Measurement Technolgy Conference (Cat. No.94CH3424-9).

[13]  Udaya Annakkage,et al.  A comparison of frequency measurement methods for underfrequency load shedding , 1998 .

[14]  Tarlochan S. Sidhu,et al.  Accurate measurement of power system frequency using a digital signal processing technique , 1999, IEEE Trans. Instrum. Meas..

[15]  Vladimir Terzija,et al.  Voltage phasor and local system frequency estimation using Newton type algorithm , 1994 .