Resilience of Microgrid during Catastrophic Events Page: 58
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from the charge controller to the battery bank. Another thing to note was the controller changes
states even sooner than in Figure 5.1 because, with more power being generated, the battery
charges current to the battery bank reached its optimal charge voltage quicker.
5.1.4 Sunny Day - No Loads - Small Node
Subsection 5.1.4 references Figure 5.4, which was the graph of the small node during a
sunny day without any loads. Data was taken on a different sunny day than Figure 4.3 but was
taken during the same time of 10 AM to 4 PM. The data compared to Figure 4.3 showed its
differences and similarities for the same timeframe.
Node 2 Sunny Day With No Loads (3-02-18)
50 25
45
40 20
35
30 15
25
0 20 10 0
15
10 5
5
0 0
000 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 0
00 0) CQ r C M'J C ') 0 C N- 00 0) C C- N CO t L1 0 CDN- 0CO - N C) " C ) 0 CDN- 00 M0)
10PQO C N CO U) 0OQr C N CM LP0r C J "O LP10 Q C M O r C M C () O 10 Q C (O
Time Stamp
TriSar-M PPT Array Voltage (V) TriSar-M PPT Battery Voltage (V)
TriStar-M PPT Input Power (W) TriStar-M PPT Output Power (W)
Figure 5.4 : Excel graph of node 2 (small node) sunny day with no loads
Looking at the data from Figure 5.4 like the large node, the small node has stable input
and output voltage when there was a lot of sun and was unlike what happened in Figure 5.258
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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/m1/67/: accessed July 18, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; .