Teitl: Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation

Dyfyniad
Long C, Wu J (2016). Optimal operation of soft open points in medium voltage electrical distribution networks with distributed generation. Cardiff University. https://doi.org/10.17035/d.2016.0011474097

Manylion y Set Ddata

Cyhoeddwr: Cardiff University

Dyddiad (y flwyddyn) pryd y daeth y data ar gael i'r cyhoedd: 2016

Dyddiad dechrau creu'r data: 19.10.2016

Dyddiad gorffen creu'r data: 20.10.2016

Fformat y data: .csv

Meddalwedd ofynnol: Excel

Amcangyfrif o gyfanswm maint storio'r set ddata: Llai na 100 megabeit

Nifer y ffeiliau yn y set ddata: 1

DOI : 10.17035/d.2016.0011474097

DOI URL: http://doi.org/10.17035/d.2016.0011474097

Related URL: http://dx.doi.org/10.1016/j.apenergy.2016.10.031

Disgrifiad

A soft open point (SOP) is a power electronic device, usually using back-to-back voltage source converters (VSCs), installed at a previously normally open point of a distribution network. Due to its flexible and accurate control of power flows, an SOP is versatile, and increasingly being considered to mitigate voltage and thermal constraints in medium voltage (MV) networks with high penetrations of distributed generation (DG). A Jacobian matrix - based sensitivity method was used to define the operating region of an SOP when the grids/feeders at the two terminals of the SOP have various load and generation conditions, and the SOP operating region was visualized in a graphical manner. The exact operating set-points were determined by adopting a non-linear optimization considering separately different objectives. The methodology was demonstrated on an 11 kV network, considering three optimization objectives with different DG penetrations and different network observabilities. Results showed that the use of an SOP significantly increases the network’s DG hosting capacity. The objective for voltage profile improvement increased the headroom of the voltage limits by the largest margin, at the expense of increased energy losses. In contrast the objectives to achieve line utilization balancing and energy loss minimization showed the most improvement in circuit utilization and in limiting energy losses. The work helps electricity network operators to visualize an SOP’s operation status, and provides high level decision support, e.g. selecting control schemes and restraining SOP operational boundaries.

The dataset provides details of the

normalised load profiles including residential, commercial and industrial;

normalised DG profiles including PV and wind;

These data were used to the example MV distribution network using the proposed method. The data was provided in a .csv format.

Research results based upon these data are published at http://doi.org/10.1016/j.apenergy.2016.10.031