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Power profiles of loads, DERs and MGs' internal units

<p>Dataset of power profiles used in the Simulation section of the paper&nbsp;</p> <blockquote> <p>Bonassi, F., La Bella, A., Lazzari, R., Sandroni, C., &amp; Scattolini, R. (2021). Supervised control of hybrid AC-DC grids for power balance restoration.&nbsp;<em>Electric Power Systems Research</em>,&nbsp;<em>196</em>, 107107.</p> </blockquote> <p><br> Please cite the paper if you use this data.</p> <p><strong>The dataset is made of the following files:</strong></p> <ul> <li>&#39;cluster_references.xls&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Table of the reference power programs of the four clusters. <ul> <li>Column &#39;Cluster_i_ref&#39;: &nbsp; &nbsp; Power program of the i-th cluster [kW]<br> &nbsp;</li> </ul> </li> <li>&#39;converter_schedules.xls&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Table of power converters&#39; scheduled power profiles. <ul> <li>Column &#39;Converter_i_P&#39;: &nbsp; &nbsp;Active power program of the i-th power converter [kW]</li> <li>Column &#39;Converter_i_Q&#39;: &nbsp; &nbsp;Reactive power program of the i-th power converter [kVAR]<br> &nbsp;</li> </ul> </li> <li>&#39;load_actual.xls&#39;: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Table of the actual power profiles of the loads connected to the grid. <ul> <li>Column &#39;Load_i_P&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Active power absorbed by the i-th load [kW]</li> <li>Column &#39;Load_i_Q&#39;: &nbsp; &nbsp; &nbsp; &nbsp; Reactive power absorbed by the i-th load [kVAR]<br> &nbsp;</li> </ul> </li> <li>&#39;load_forecasts.xls&#39;: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Table of the power profiles&#39; forecasts of the loads connected to the grid. <ul> <li>Column &#39;Load_i_P&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Active power forecast of the i-th load [kW]</li> <li>Column &#39;Load_i_Q&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Reactive power forecast of the i-th load [kVAR]<br> &nbsp;</li> </ul> </li> <li>&#39;MG_schedules.xls&#39;: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Table of MGs&#39; schedules for dispatchable units. <ul> <li>Column &#39;MG_i_Gen_P&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Active power schedule for the dispatchable generator of the i-th MG [kW]&nbsp;</li> <li>Column &#39;MG_i_Gen_Q&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Reactive power schedule for the dispatchable generator of the i-th MG [kVAR]</li> <li>Column &#39;MG_i_Batt_P&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Active power schedule for the battery of MG_i [kW]&nbsp;</li> <li>Column &#39;MG_i_Batt_Q&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Reactive power schedule for the battery of MG_i [kVAR]<br> &nbsp;</li> </ul> </li> <li>&#39;pv_actual.xls&#39;: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Table of the actual power profiles of the PV panels. <ul> <li>Column &#39;MG_i_PV_P&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Active power injected by the PV panel of MG_i [kW]&nbsp;<br> &nbsp;</li> </ul> </li> <li>&#39;pv_forecasts.xls&#39;: &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Table of the power profiles&#39; forecasts of the PV panels. <ul> <li>Column &#39;MG_i_PV_P&#39;: &nbsp; &nbsp; &nbsp; &nbsp;Active power forecast of the PV panel of MG_i [kW]<br> &nbsp;</li> </ul> </li> </ul> <ul> <li>&#39;units_network_data.xls&#39;:&nbsp; &nbsp; &nbsp; &nbsp; Table of units&#39; and network data.&nbsp;&nbsp; &nbsp; <ul> <li>Sheet &#39;AC nodes&#39;:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;Data concerning the AC buses.</li> <li>Sheet &#39;AC branches&#39;:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Data concerning the AC branches connecting the AC nodes.</li> <li>Sheet &#39;AC-DC interfaces&#39;:&nbsp;&nbsp; &nbsp;Data of the AC-DC interfacing power converters.</li> <li>Sheet &#39;DC links&#39;:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Data concerning the DC links.</li> <li>Sheet &#39;MGs Generators&#39;:&nbsp; &nbsp; &nbsp; Nominal data of MGs&#39; internal generators.</li> <li>Sheet &#39;MGs Batteries&#39;:&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Nominal data of MGs&#39; internal batteries.</li> </ul> </li> </ul>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
0
Engagement
4

Topics

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