Resilience of Microgrid during Catastrophic Events Page: 57
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size of the larger node using half of the number of solar panels. This would make the smaller
nodes to need more time and power to charge.
5.1.3 Sunny Day - No Loads - Large Node
Subsection 5.1.3 showed the data collected from the large node on a sunny day when
there are no loads, as seen in Figure 5.3. A sunny day made the large node generate more power
than a cloudy/rainy day, as seen in Figure 5.1. The data in Figure 5.3 was taken on a different
day then Figures 5.1 and 5.2, and the time was from 10 AM to 4 PM.Node 3 Sunny Day With No Loads (2-26-18)
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C OCO COCO CO
T TC TC TC TC~60
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Time St am p
A-A 0
- TriMM MMM ar- M P r M MPPTMBatteryMV M tageM(V)
-o TriT N '0ar-MC)OT P n P (W)LO - rN1- PP Cut pu t w (WC) It 10
Time Stamp
- TriStar-M PPT Array Voltage (V) Triatar-M PPT Battery Voltage (V)
-TriStar-M PPT Input Power (W) -Triar-M PPT Output Power (W)Figure 5.3 : Excel graph of node 3 (large node) sunny day with no loads
Looking at the data from Figure 5.3, one can see how the amount of sun during a day
affects the large node. The voltage was especially interesting because the voltage coming from
the solar panels was more consistent. This, in turn, made the current more consistent and stable57
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Black, Travis Glenn. Resilience of Microgrid during Catastrophic Events, thesis, May 2018; Denton, Texas. (https://digital.library.unt.edu/ark:/67531/metadc1157603/m1/66/: accessed July 18, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .