Neural network-based active power curtailment for overvoltage prevention in low voltage feeders

作者：

Highlights：

• Intelligent methods for overvoltage prevention in low voltage residential feeders.

• Active power curtailment utilizing neural networks were proposed.

• A residential street in Alice Springs was used as the experimental case study.

• Results showed that overvoltage can be prevented to comply with the AS standards.

摘要

•Intelligent methods for overvoltage prevention in low voltage residential feeders.•Active power curtailment utilizing neural networks were proposed.•A residential street in Alice Springs was used as the experimental case study.•Results showed that overvoltage can be prevented to comply with the AS standards.

论文关键词：Overvoltage,Voltage-rise,Predictive modeling,Active power curtailment,Artificial neural networks

论文评审过程：Available online 9 August 2013.

论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.103