Power system state estimation using wire temperature measurements for model accuracy enhancement

Power system state estimation is a process of real-time online modeling of an electric power system. The estimation is performed with the application of a static model of the system and actual measurements of electrical quantities that are encumbered with error. Usually, a model of the estimated system is also encumbered with uncertainty, especially power line resistances that depend on the temperature of conductors. Presently, a considerable development of technologies for dynamic power line rating can be observed. Typically, devices for dynamic line rating are installed directly on the conductors and measure basic electric parameters such as current and voltage as well as non-electric ones as surface temperature of conductors, their expansion, stress or the conductor sag angle relative to the plumb line. The objective of this article is to present a method for power system state estimation that uses temperature measurements of overhead line conductors as supplementary measurements that enhance quality of the model and thereby the estimation accuracy. Power system state estimation is presented together with a method for using temperature measurements of power line conductors for updating the static power system model in the state estimation process. Results obtained with the application of that method have been analyzed based on the estimation calculations performed for an example system with and without taking into account the conductor temperature measurements. The final part of the article includes conclusions and suggestions for the further research work.

[1]  Hadi Saadat,et al.  Power System Analysis , 1998 .

[2]  S. Mokhtari,et al.  Real time recursive parameter estimation in energy management systems , 1996 .

[3]  Allen J. Wood,et al.  Power Generation, Operation, and Control , 1984 .

[4]  V. H. Quintana,et al.  Power system network parameter estimation , 2007 .

[5]  Fred C. Schweppe,et al.  Power System Static-State Estimation, Part I: Exact Model , 1970 .

[6]  Vijay Vittal,et al.  Mechanical State Estimation of Overhead Transmission Lines Using Tilt Sensors , 2010, IEEE Transactions on Power Systems.

[7]  A. G. Expósito,et al.  Power system parameter estimation: a survey , 2000 .

[8]  G. Andersson,et al.  Transmission Line Conductor Temperature Impact on State Estimation Accuracy , 2007, 2007 IEEE Lausanne Power Tech.

[9]  C. Lon Enloe Physical science : what the technology professional needs to know , 2001 .

[10]  V. Vittal,et al.  Mechanical State Estimation for Overhead Transmission Lines With Level Spans , 2008, IEEE Transactions on Power Systems.

[11]  V. T. Morgan,et al.  Effects of alternating and direct current, power frequency, temperature, and tension on the electrical parameters of ACSR conductors , 2003 .

[12]  R D Zimmerman,et al.  MATPOWER: Steady-State Operations, Planning, and Analysis Tools for Power Systems Research and Education , 2011, IEEE Transactions on Power Systems.

[13]  Leonard L. Grigsby,et al.  The Electric Power Engineering Handbook , 2000 .

[14]  S. Mokhtari,et al.  Comprehensive estimation in power systems: State, topology and parameter estimation , 1995 .

[15]  H.M. Ismail,et al.  A Unified Approach for the Optimal PMU Location for Power System State Estimation , 2009, IEEE Transactions on Power Systems.

[16]  Dariusz Kania,et al.  Interpolated-DFT-Based Fast and Accurate Frequency Estimation for the Control of Power , 2014, IEEE Transactions on Industrial Electronics.

[17]  V. Cecchi,et al.  Incorporating Temperature Variations Into Transmission-Line Models , 2011, IEEE Transactions on Power Delivery.

[18]  David A. Munn Physical Science: What the Technology Professional Needs to Know , 2001 .

[19]  Piotr Kacejko,et al.  Power System State Estimation Accuracy Enhancement Using Temperature Measurements of Overhead Line Conductors , 2016 .