A Method for Accurate Transmission Line Impedance Parameter Estimation

Ritzmann, Deborah; Wright, P.S.; Holderbaum, William

doi:10.1109/tim.2016.2556920

Cited by 114 publications

(75 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Real-time estimation of power transmission line impedance parameters presented in [39]. Performance and accuracy investigation of two-step algorithm for power system state and line temperature estimation presented in [40].…”

Section: Performance Analysis and Resultsmentioning

confidence: 99%

An Improved Algorithm for Optimal Load Shedding in Power Systems

et al. 2018

View full text Add to dashboard Cite

A blackout is usually the result of load increasing beyond the transmission capacity of the power system. A collapsing system enters a contingency state before the blackout. This contingency state is characterized by a decline in the bus voltage magnitudes. To avoid blackouts, power systems may start shedding load when a contingency state occurs called under voltage load shedding (UVLS). The success of a UVLS scheme in arresting the contingency state depends on shedding the optimum amount of load at the optimum time and location. This paper proposes a hybrid algorithm based on genetic algorithms (GA) and particle swarm optimization (PSO). The proposed algorithm can be used to find the optimal amount of load shed for systems under stress (overloaded) in smart grids. The proposed algorithm uses the fast voltage stability index (FVSI) to determine the weak buses in the system and then calculates the optimal amount of load shed to recover a collapsing system. The performance analysis shows that the proposed algorithm can improve the voltage profile by 0.022 per units with up to 75% less load shedding and a convergence time that is 53% faster than GA.

show abstract

Section: Performance Analysis and Resultsmentioning

confidence: 99%

An Improved Algorithm for Optimal Load Shedding in Power Systems

et al. 2018

View full text Add to dashboard Cite

show abstract

“…The traditional algorithm for AC transmission line is usually based on two-end fundamental information [15]. Unfortunately, the accuracy of that decreases when applied to an AC-DC hybrid system, since the accuracy of fundamental phasors and the line parameter estimation are of importance to the precision of the traditional fault location algorithm [16,17].…”

Section: School Of Electrical Engineering Xipu Campus Southwest Jiamentioning

confidence: 99%

Research on fault location scheme for inverter AC transmission line of AC–DC hybrid system

Deng

et al. 2018

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

memberAs the nonlinear characteristics of converters, the harmonic components of fault information hardly decays with the passage of time, which introduces an estimation error in the fault location in the inverter AC transmission line of an AC-DC hybrid system, especially under commutation failure condition. Therefore, a new fault location scheme, which combines the dynamic synchrophasor measurement algorithm and line equivalent impedance/admittance estimation algorithm, is proposed in this paper. The precision of phasor estimation under harmonic environment has been improved. Based on these, the pre-fault data of one circle is applied to estimate the line equivalent impedance and admittance. Finally, the traditional fault location formula based on the two-end information is employed to calculate the fault location. Evaluation results show that the proposed scheme is independent of the fault resistance, fault distance, and fault type. More importantly, it ensures a higher precision of fault location in comparison with the dynamic fault location algorithm, even under commutation failure.

show abstract

“…In most literatures, phasor data are used for estimation. Various parameters were estimated in [10] with phasor data corrected. Transmission lines with distributed parameters were estimated in [11] for protection applications.…”

Section: Introductionmentioning

confidence: 99%

“…In [16] and [17], a scheme of selecting 3 measurement points was proposed for estimation. In [10], 8 sets of simulated data within 16 minutes were chosen for estimation with even time interval of 2 minutes. In [12] Through extensive tests, a data selection scheme was developed in [15] to show how to select 6 data points from a time window of 30 minutes.…”

Section: Introductionmentioning

confidence: 99%

Measurement-Based Transmission Line Parameter Estimation With Adaptive Data Selection Scheme

Zhang

et al. 2018

IEEE Trans. Smart Grid

View full text Add to dashboard Cite

Abstract-Accurate parameters of transmission lines are critical for power system operation and control decision making. Transmission line parameter estimation based on measured data is an effective way to enhance the validity of the parameters. This paper proposes a multi-point transmission line parameter estimation model with an adaptive data selection scheme based on measured data. Data selection scheme, defined with time window and number of data points, is introduced in the estimation model as additional variables to optimize. The data selection scheme is adaptively adjusted to minimize the relative standard deviation (RSD) of estimated parameters. An iterative technique derived from the Newton method is adopted to solve the proposed model by fitting the relationship between the RSD and data selection scheme with exponential functions. Simulated data are applied to illustrate the performance of the proposed model. Some 500kV transmission lines from a provincial power system of China are estimated to demonstrate the applicability of the presented model. The superiority of the proposed model over fixed data selection schemes is also verified.Index Terms-Adaptive data selection, parameters estimation, power systems, supervisory control and data acquisition system (SCADA), transmission line, wide area measurement system (WAMS)

show abstract

A Method for Accurate Transmission Line Impedance Parameter Estimation

Cited by 114 publications

References 19 publications

An Improved Algorithm for Optimal Load Shedding in Power Systems

An Improved Algorithm for Optimal Load Shedding in Power Systems

Research on fault location scheme for inverter AC transmission line of AC–DC hybrid system

Measurement-Based Transmission Line Parameter Estimation With Adaptive Data Selection Scheme

Contact Info

Product

Resources

About