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DESCRIPTION:Natural gas-fired generation units can hedge against the volati
 lity in the uncertain renewable generation\, which may occur during very s
 hort periods. It is crucial to utilize models capable of correctly capturi
 ng the natural gas network dynamics induced by the volatile demand of gas-
 fired units. The Weymouth equation is commonly implemented in literature t
 o avoid dealing with the mathematical complications of solving the origina
 l governing differential equations of the natural gas dynamics. However\, 
 it is shown in this talk that this approach is not reliable in the short-t
 erm operation problem. Here\, the merit of the non-convex transient model 
 is compared with the simplified Weymouth equation\, and the drawbacks of e
 mploying the Weymouth equation are illustrated. The results demonstrate ho
 w changes in the natural gas demand are met by adjustments in the pressure
  within pipelines rather than the output of natural gas suppliers.\n\nThis
  work presents a convex relaxation scheme for the original non-linear and 
 non-convex natural gas flow equations with dynamics\, utilizing a rank min
 imization approach to ensure the tightness. The proposed method renders a 
 computationally efficient framework that can accurately solve the non-conv
 ex non-linear gas operation problem and accurately capture its dynamics. A
 lso\, the results suggest that the proposed model improves the solution op
 timality and solution time compared to the original non-linear non-convex 
 model. Finally\, the scalability of the proposed approach is verified in t
 he case study.\n\nCo-sponsored by: San Diego Section Chapter\, PES\n\nSpea
 ker(s): Dr. Saeed Manshadi\, \n\nAgenda: \n6:25 - 6:35 pm: Meeting Setup a
 nd Introduction\n\n6:35 - 7:30 pm: Presentation and Q/A\n\nSan Diego\, Cal
 ifornia\, United States\, Virtual: https://events.vtools.ieee.org/m/313494
LOCATION:San Diego\, California\, United States\, Virtual: https://events.v
 tools.ieee.org/m/313494
ORGANIZER:hbaklou@sdge.com
SEQUENCE:3
SUMMARY:IEEE PES &amp; PELS Chapter Meeting: The Dynamic Response of the Natura
 l Gas Network due to the Volatility of Renewable Generation Resources
URL;VALUE=URI:https://events.vtools.ieee.org/m/313494
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Natural gas-fired generation units can hed
 ge against the volatility in the uncertain renewable generation\, which ma
 y occur during very short periods. It is crucial to utilize models capable
  of correctly capturing the natural gas network dynamics induced by the vo
 latile demand of gas-fired units. The Weymouth equation is commonly implem
 ented in literature to avoid dealing with the mathematical complications o
 f solving the original governing differential equations of the natural gas
  dynamics. However\, it is shown in this talk that this approach is not re
 liable in the short-term operation problem. Here\, the merit of the non-co
 nvex transient model is compared with the simplified Weymouth equation\, a
 nd the drawbacks of employing the Weymouth equation are illustrated. The r
 esults demonstrate how changes in the natural gas demand are met by adjust
 ments in the pressure within pipelines rather than the output of natural g
 as suppliers.&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;This work presents a convex relaxation scheme
  for the original non-linear and non-convex natural gas flow equations wit
 h dynamics\, utilizing a rank minimization approach to ensure the tightnes
 s. The proposed method renders a computationally efficient framework that 
 can accurately solve the non-convex non-linear gas operation problem and a
 ccurately capture its dynamics. Also\, the results suggest that the propos
 ed model improves the solution optimality and solution time compared to th
 e original non-linear non-convex model. Finally\, the scalability of the p
 roposed approach is verified in the case study.&lt;/p&gt;&lt;br /&gt;&lt;br /&gt;Agenda: &lt;br
  /&gt;&lt;p style=&quot;font-weight: 400\;&quot;&gt;6:25 - 6:35 pm: Meeting Setup and Introdu
 ction&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;font-weight: 400\;&quot;&gt;6:35 - 7:30 pm: Presentatio
 n and Q/A&lt;/span&gt;&lt;/p&gt;
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