A systematic loss analysis of Taipower distribution system

This paper presents a systematic methodology to analyze the power loss of whole distribution system in Taipower. The total power delivered to the distribution system has been calculated according to the total power generation and power loss of transmission system. To enhance the efficiency for power loss analysis of voluminous distribution feeders, the artificial neural network (ANN)-based simplified power loss models have been developed for the overhead feeders and underground feeders, respectively. The three-phase load flow analysis is executed to find the sensitivity of feeder loss with the variation of power loading, conductor length, and total capacity of distribution transformers. By this way, the data set for neural network training is prepared to derive the ANN-based simplified power loss model. The power loss of each distribution feeder can be derived easily according to the key factors of hourly loading, feeder length, and transformer capacity. By integrating the power loss of all feeders, the power loss of whole distribution system is therefore obtained to estimate the operation efficiency of Taipower system. Index Terms--Artificial neural network (ANN) power loss model, automated mapping and facility management (AM/FM) system, distribution feeder loss analysis, load profile synthesis.