New Energy Bound-Based Model for Optimal Charging of Electric Vehicles with Solar Photovoltaic Considering Low-Voltage Network's Constraints

This directory contains the following datasets:

SOURCE CODE

Three scripts in Python are included to obtain the parameters of the whole network and test the proposed optimisation approach.

SENSITIVITY MATRICES OF THE 905-NODES LOW-VOLTAGE FEEDER

* dVcal.txt: voltage sensitivity matrix of household nodes due to the addition of load, expressed in V/kW
* dVGen.txt: voltage sensitivity matrix of household nodes due to the addition of generation, expressed in V/kW
* dLline.txt: loading sensitivity matrix of the feeder's main cable due to the addition of load, expressed in kW/kW
* dLlineGen.txt: loading sensitivity matrix of the feeder's main cable due to the addition of generation, expressed in kW/kW
* dStcal.txt: loading sensitivity matrix of the distribution transformer due to the addition of load, expressed in kW/kW
* dStGen.txt: loading sensitivity matrix of the distribution transformer due to the addition of generation, expressed in kW/kW

INITIAL VOLTAGES AND LOADING LEVELS

These data were obtained for a test period of 30 hours with a 10-minute interval (i.e., 180 slots of time).

* Vini.txt: time-series of voltage per phase for every household node obtained from the unbalanced quasi-dynamic power flow (QDPF)
* PLini.txt: time-series of loading per phase for the feeder's main cable obtained from the unbalanced QDPF
* STini.txt: time-series of loading per phase for the distribution transformer obtained from the unbalanced QDPF

INPUT AND ADDITIONAL PARAMETERS
Both folders "Winter parameters" and "Summer parameters" contain 100 text files, which correspond to each simulated scenario, numbered from one to one hundred for the following variables:

* DtX.txt: the daily travelled distance of each EV for scenario X
* e_arrX.txt: the arrival energy level of each EV for scenario X
* taIntX.txt: the arrival time interval of each EV for scenario X
* tpIntX.txt: the number of time intervals of each EV parked at home for scenario X
* e_reqX.txt: the objective energy level of each EV for scenario X
* xX.txt: the availability of each EV for scenario X, which is based on taIntX.txt and tpIntX.txt
* eLowerX.txt: the lower energy boundary of each EV for scenario X
* eUpperX.txt: the upper energy boundary of each EV for scenario X
* PpvX.txt: time-series of PV power output for scenario X

It is also included the IEEE LV network in PowerFactory V15.1 with a series of EVs and PVs. These have a time-series profile assigned from the proposed optimisation problem results. Additionally, the parameters and results obtained by comparing the addition of network constraints are included.