03 May 2016
smart meters, fault diagnosis, power distribution planning, power system harmonics, power transformers, smart meter data, distribution system topology, database records, low-voltage model, outage management, fault detection, fault isolation, fault response, phase balancing, network planning, LV distribution system, power transformer, installation control point, harmonic voltage correlation, correlation analysis, Fisher Z transform, Auckland, New Zealand
Smart-meter data presents an opportunity for utilities to improve their database records, and develop a low-voltage (LV) model which may be useful for outage management and fault detection, isolation and response, phase balancing, and network planning. In addition, impact assessment studies on new technologies can be performed. This study presents several contributions in the area of determining the topology of the LV distribution system. This is in terms of identifying the transformer a particular installation control point is connected to, and the phase if that customer is single-phase. First, harmonic voltage correlation is proposed as it is more robust to noise and missing records than the prior algorithm of voltage correlation. Second, it is demonstrated that smart-meter data can be used to determine the transformer/phase to which a customer is connected and update database records in this regard. To achieve this, a new algorithm based on correlation analysis with the Fisher Z transform is developed. Third, a method to estimate LV feeder and service main impedances is presented. Further work is necessary; however, the results from trials in Auckland, New Zealand are highly promising.