AI Summary & Key Takeaways
AI InsightIn this paper, the authors present a method of calculating losses that achieves better accuracy than the first twomethods without the large data requirements of the third method.
📌 3 Key Takeaways
Abstract
Calculating feeder losses accurately is an important part of evaluating designs for electric power distribution systems. Historically,these losses have been calculated one of three ways: (1) using a peak load calculation and the load factor method, (2) using customerclass statistics normalized for a month, season, or year, or (3) using customer class statistics together with feeder measurements toreflect the variation in load every hour of the year. The first two methods require far less data but provide far less accuracy thanthe third method. In this paper, the authors present a method of calculating losses that achieves better accuracy than the first twomethods without the large data requirements of the third method.
Özet
Calculating feeder losses accurately is an important part of evaluating designs for electric power distribution systems. Historically,