Implementation of a systematic distribution transformer load management in Taipower

The practice of transformer load management (TLM) in Taipower to determine the daily power profile and the peak loading of distribution transformers by integration of customer information systems (CISs) such as, automated mapping/facilities management/geographic information system and load survey system is presented. The load survey study is conducted by selecting 672 customers for installation of digital power meters to measure the customer power consumption within 15 min intervals. The typical load patterns of low-voltage residential, commercial and industrial customer classes are derived by executing statistic analysis of power consumption of test customers. A narrow-band power line carrier-based identifier is developed to identify all of the customers served by each distribution transformer. The hourly power consumption of each customer is determined by allocating the monthly energy consumption according to the typical load pattern of the corresponding customer class. The peak loading of each distribution transformer is then estimated by integrating the power consumption of all customers served. The overloading flags and peak loading levels of all transformers are then displayed on the digital mapping system. The TLM program proposed in this study has effectively assisted Taipower distribution engineers to identify the potentially overloading transformers for load reduction to mitigate the transformer damage during the hot summer season.

[1]  P. Postolache,et al.  Load pattern-based classification of electricity customers , 2004, IEEE Transactions on Power Systems.

[2]  J. C. Hwang,et al.  Development of simplified loss models for distribution system analysis , 1994 .

[3]  G. Chicco,et al.  Comparisons among clustering techniques for electricity customer classification , 2006, IEEE Transactions on Power Systems.

[4]  N.D. Hatziargyriou,et al.  Two-Stage Pattern Recognition of Load Curves for Classification of Electricity Customers , 2007, IEEE Transactions on Power Systems.

[5]  Tsai-Hsiang Chen,et al.  Design of a TLM application program based on an AM/FM/GIS system , 1997 .

[6]  Enrico Carpaneto,et al.  Probabilistic characterisation of the aggregated residential load patterns , 2008 .

[7]  T. Banwell,et al.  A novel approach to the modeling of the indoor power line channel-Part II: transfer function and its properties , 2005, IEEE Transactions on Power Delivery.

[8]  S. Galli,et al.  A novel approach to the modeling of the indoor power line channel part I: circuit analysis and companion model , 2005, IEEE Transactions on Power Delivery.

[9]  Hong-Chan Chang,et al.  An improvement project for distribution transformer load management in Taiwan , 2003 .

[10]  Hong-Chan Chang,et al.  Application of automated mapping system to distribution transformer load management , 2002, IEEE/PES Transmission and Distribution Conference and Exhibition.

[11]  C. S. Chen,et al.  Temperature Effect to Distribution System Load Profiles and Feeder Losses , 2001, IEEE Power Engineering Review.

[12]  Erry Gunawan,et al.  A transmission line model for high-frequency power line communication channel , 2002, Proceedings. International Conference on Power System Technology.

[13]  C. F. Walker,et al.  Residential Load Shape Modelling Based on Customer Behavior , 1985, IEEE Transactions on Power Apparatus and Systems.

[14]  Tsai-Hsiang Chen,et al.  Integrated models of distribution transformers and their loads for three-phase power flow analyses , 1996 .

[15]  J. C. Hwang,et al.  Determination of customer load characteristics by load survey system at Taipower , 1996 .