Modeling trees internal tissue for estimating electrical leakage current

A part of power distribution system losses is related to the growth of trees beside power lines. Despite the fact that the first need for the reduction of tree losses is an accurate evaluation, a detailed study has not been done in this field thus far. Earlier works about trees interfering with power lines have not considered power loss and often studied it as a high impedance fault problem. In addition, these studies have been just focused on the leakage current measurement of some specific trees touching medium voltage distribution network, while it is low voltage network in urban and rural areas that has maximum reports of tree contact. Furthermore, the amount of leakage current greatly depends on the internal tissues of trees and environmental conditions. With regard to the differences in tree types and weather conditions around the world, losses will have different degrees; therefore, studies cannot be confined only to the results of some particular types of trees. Considering the shortcomings of these studies, this paper tries to determine a factor for environmental conditions. By applying this factor, the leakage current values for different weather conditions are estimated. Besides, this paper uses 3D finite element method for modeling tree losses by considering type of trees. For assessing the validity of the modeling results, the range of leakage currents is obtained from experiments in a real low voltage network. The results of this study remove doubt about the reliability of loss calculation and shows that loss estimation by modeling is an effective and reliable tool in this field.

[1]  Geophytoelectrical current in trees of a subtropical rainforest in Mexico , 2007, Biologia Plantarum.

[2]  Steffen Rust,et al.  Non-destructive monitoring of early stages of white rot by Trametes versicolor in Fraxinus excelsior , 2011, Annals of Forest Science.

[3]  A. J. Hailwood,et al.  Absorption of water by polymers: analysis in terms of a simple model , 1946 .

[4]  E. Priesack,et al.  Functional-structural water flow model reveals differences between diffuse- and ring-porous tree species , 2012 .

[5]  Kit Po Wong,et al.  Optimal Capacitor Placement to Distribution Transformers for Power Loss Reduction in Radial Distribution Systems , 2013, IEEE Transactions on Power Systems.

[6]  Matti Lehtonen,et al.  Investigation of lightning arc between conductor and nearby tree under artificial rainfall , 2011, IEEE Transactions on Dielectrics and Electrical Insulation.

[7]  N.I. Elkalashy,et al.  Modeling and experimental verification of high impedance arcing fault in medium voltage networks , 2007, IEEE Transactions on Dielectrics and Electrical Insulation.

[8]  T. Nakamura,et al.  Automatic sensing device of electrical characteristics of living trees , 1994 .

[9]  C. A. Dutra,et al.  Traveling wave fault location applied to high impedance events , 2014 .

[10]  M. Lehtonen,et al.  Multi-end correlation-based PD location technique for medium voltage covered-conductor lines , 2012, IEEE Transactions on Dielectrics and Electrical Insulation.

[11]  P. Wargo,et al.  Resistance to Pulsed Electric Current: an Indicator of Stress in Forest Trees , 1975 .

[12]  P. Miles Specific Gravity and Other Properties of Wood and Bark for 156 Tree Species Found in North America , 2015 .

[13]  C. D. Halevidis,et al.  Thermal Effect of the Recloser Operation Cycle on Bare Overhead Conductors , 2012, IEEE Transactions on Power Delivery.

[14]  Steffen Rust,et al.  Non-destructive estimation of sapwood and heartwood width in Scots pine (Pinus sylvestris L.) , 2010 .

[15]  Chao-Lin Kuo,et al.  Non-Cooperative Game Model Applied to an Advanced Metering Infrastructure for Non-Technical Loss Screening in Micro-Distribution Systems , 2014, IEEE Transactions on Smart Grid.

[16]  Mat Darveniza,et al.  Line Design and Electrical Properties of Wood , 1967 .

[17]  P. Pakonen,et al.  Characteristics of partial discharges caused by trees in contact with covered conductor lines , 2008, IEEE Transactions on Dielectrics and Electrical Insulation.

[18]  Carl L. Benner,et al.  Characterization of electrical incipient fault signature resulting from tree contact with electric distribution feeders , 1999, 1999 IEEE Power Engineering Society Summer Meeting. Conference Proceedings (Cat. No.99CH36364).

[19]  Romas Baronas,et al.  Modelling of Moisture Movement in Wood during Outdoor Storage , 2001 .

[20]  Johann W. Kolar,et al.  Accurate Power Loss Model Derivation of a High-Current Dual Active Bridge Converter for an Automotive Application , 2010, IEEE Transactions on Industrial Electronics.

[21]  Giovanni Nicolotti,et al.  Application and comparison of three tomographic techniques for detection of decay in trees , 2003 .

[22]  M. Lehtonen,et al.  Modeling and experimental verification of on-line PD detection in MV covered-conductor overhead networks , 2010, IEEE Transactions on Dielectrics and Electrical Insulation.

[23]  Apostolos N. Milioudis,et al.  Detection and Location of High Impedance Faults in Multiconductor Overhead Distribution Lines Using Power Line Communication Devices , 2015, IEEE Transactions on Smart Grid.

[24]  J. Sperry,et al.  Functional and Ecological Xylem Anatomy , 2015, Cambridge International Law Journal.

[25]  Craig Wester,et al.  High impedance fault detection on rural electric distribution systems , 2010, 2010 IEEE Rural Electric Power Conference (REPC).