Temperature Effect to Distribution Feeder Load Profiles and Losses

A systematic procedure is proposed to study the effect to temperature change to distribution feeder load profiles and losses by using the typical load patterns of customer classes. The database of an automated mapping/facility management (AM/FM) system is used to retrieve the component attributes and the topology process is executed to determine the electrical network configuration and the customers served by each distribution transformer. By using the monthly energy consumption of customers in customer information system (CIS) and the typical daily load patterns of customer classes, the hourly loading profiles of distribution transformers and service zones can be derived to solve the loadings of each primary feeder and lateral. The sensitivity analysis of load demand with respect to the temperature change for each customer class is performed by statistic regression according to the actual customer power consumption and temperature data. The load contribution by each customer class is updated by the corresponding temperature sensitivity and integrated together to form the new load profile of a service district with temperature change. To investigate the temperature effect to the distribution feeder, two of the Taipower distribution feeders are selected for computer simulation. The power demand at each load bus of the distribution feeder is calculated by applying the temperature sensitivity and the three- phase load flow analysis is then executed to find the new feeder loading and power loss with the temperature change.

[1]  Chen-Ching Liu,et al.  Loss Minimization of Distribution Feeders: Optimality and Algorithms , 1989, IEEE Power Engineering Review.

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

[3]  Whei-Min Lin,et al.  Design of a distribution database with customer daily load patterns , 1992 .

[4]  Nelson E. Chang,et al.  Determination of Primary-Feeder Losses , 1968 .

[5]  N. R. Schultz.  Distribution Primary Feeder I2R Losses , 1978, IEEE Transactions on Power Apparatus and Systems.

[6]  J. J. Grainger,et al.  Distribution feeder reconfiguration for loss reduction , 1988 .

[7]  D. L. Flaten,et al.  Distribution system losses calculated by percent loading , 1988 .

[8]  S. J. Lee,et al.  Loss minimization of distribution feeders , 1989 .

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

[10]  M. L. Chan,et al.  An integrated load management, distribution automation and distribution SCADA system for Old Dominion Electric Cooperative , 1990 .

[11]  N. Draper,et al.  Applied Regression Analysis. , 1967 .

[12]  C. S. Chen,et al.  Application of load survey systems to proper tariff design , 1997 .

[13]  Chuin-Shan Chen,et al.  Determination of critical switches in distribution system , 1992 .

[14]  D. Sun,et al.  Calculation of Energy Losses in a Distribution System , 1980, IEEE Transactions on Power Apparatus and Systems.

[15]  Tsai-Hsiang Chen,et al.  Optimal phase arrangement of distribution transformers connected to a primary feeder for system unbalance improvement and loss reduction using a genetic algorithm , 1999, Proceedings of the 21st International Conference on Power Industry Computer Applications. Connecting Utilities. PICA 99. To the Millennium and Beyond (Cat. No.99CH36351).

[16]  M. S. Kang,et al.  The application of AM/FM system to distribution contingency load transfer , 1995 .