This dataset contains the data associated with the electrically equivalent model of the IEEE Low Voltage (LV) test feeder for use of the distribution network studies. This dataset is for the letter entitled:" A Reduced Electrically-Equivalent Model of the IEEE European Low Voltage Test Feeder".


The uploaded data includes a zip file containing the dataset in the form of CSV files for an electrically equivalent reduced model of IEEE LV European feeder. 

  • The test feeder is at the voltage level of 416 V, phase-to-phase.
  • Load shapes with one-minute time resolution over 24 hours are provided for the time-series load flow simulation.
  • Line data and load data of the network are given in seperate CSV files. 
  • The line codes specified by sequence impedances and admittances are available in a seperate CSV file.



This provides the code and data used in the paper "Optimal EV Scheduling in Residential Distribution Networks Considering Customer Charging Preferences" by Mailys Le Cam and Barry Hayes. 

Some material has been adapated from the OpenDSS help files: Some data has been taken from the IEEE test feeders archive:




This dataset contains the catalogs of equipment used to build the following synthetic distribution systems using RNM-US.a) Greensboro (GSO) Synthetic System V0.2b) San Francisco Bay Area (SFO) Synthetic System V0.8The synthetic distribution system has been built using the U.S. Reference Network Model (RNM-US), and it includes the low voltage system, distribution transformers, medium voltage system, primary substations, sub-transmission system and transmission substations.The output synthetic distribution systems are available in the following repositories.[1]    “DR POWER.” [Online].


This work focuses on using the full potential of PV inverters in order to improve the efficiency of low voltage networks. More specifically, the  independent per-phase control capability of PV three-phase four-wire inverters, which are able to inject different active and reactive powers in each phase, in order to reduce the system phase unbalance is considered.  This new operational procedure is analyzed by raising an optimization problem which uses a very accurate modelling of European low voltage networks.


This report outlines the derivation of the first-, second-, and third-order Taylor series expansions of the power flow solution; it is the Electronic Companion of the following paper:

R. A. Jabr, “High-order approximate power flow solutions and circular arithmetic applications,” IEEE Transactions on Power Systems, vol. 34, no. 6, pp. 5053-5062, November 2019.

The derivation is carried out in complex variables via the use of Wirtinger calculus.