Title :
Understanding LV network voltage distribution- UK smart grid demonstration experience
Author :
Chen Zhao ; Chenghong Gu ; Furong Li ; Dale, Mark
Author_Institution :
Dept. of Electron. & Electr. Eng., Univ. of Bath, Bath, UK
Abstract :
This paper analyses the real-time voltage data acquired at Low Voltage (LV) distribution network substations to understand their distributions. It is a part of a smart grid demonstration project `Low Voltage Network Templates´ conducted by the local distribution network operator (DNO) for South West and South Wales of UK. This work for the first time provides the visibility of voltage distributions at LV network which previously was impossible due to lack of metering equipment. The voltage distributions are divided into two scenarios: over and under statutory limits. The paper firstly identifies the voltage magnitude distributions, which are then linked with locations and load compositions. Both voltages at substations and at feeder ends are investigated to discuss voltage control strategy and understand the capability to accommodate low carbon technologies. The work complements the current practice of understanding the conditions of LV networks that are not properly monitor from voltage aspect.
Keywords :
power distribution control; smart power grids; substations; voltage control; DNO; LV network voltage distribution; Low Voltage Network Templates; UK smart grid demonstration experience; distribution network operator; low carbon technologies; low voltage distribution network substations; voltage control strategy; voltage magnitude distributions; Carbon; Low voltage; Monitoring; Real-time systems; Substations; Voltage control; Smart grids; low carbon technologies; low voltage network; smart metering; voltage profiles;
Conference_Titel :
Innovative Smart Grid Technologies Conference (ISGT), 2015 IEEE Power & Energy Society
Conference_Location :
Washington, DC
DOI :
10.1109/ISGT.2015.7131851