TY - GEN
T1 - Transmission and capacity expansion planning against rising temperatures
T2 - IISE Annual Conference and Expo 2021
AU - Skolfield, J. Kyle
AU - Escobedo, Adolfo R.
AU - RamirezVergara, Jose
N1 - Publisher Copyright:
© 2021 IISE Annual Conference and Expo 2021. All rights reserved.
PY - 2021
Y1 - 2021
N2 - The stable and efficient operation of the transmission network is fundamental to the power system's ability to deliver electricity reliably and cheaply. As average temperatures continue to rise, the ability of the transmission network to meet demand is diminished. Higher temperatures lead to congestion by reducing thermal limits of lines while simultaneously reducing generation potential. Due to prohibitive costs and limited real estate for building new lines, it is necessary to consider capacity expansion as well to improve the functioning and efficiency of the grid. Optimal control, however, requires many discrete choices, rendering fully accurate models intractable. Furthermore, temperature changes will impact different regions and climate differently. As such, it is necessary to model both temperature changes and transmission flows with high spatial resolution. This work proposes a case study of the transmission grid centered in Arizona, using a DC optimal power flow mathematical formulation to plan for future transmission expansion and capacity expansion to efficiently meet demand. The effects of rising temperatures on transmission and generation are modeled at the regional level. Several classes of valid inequalities are employed to speed up the solution process. Multiple experiments considering different temperature and demand trends are considered which include each of the above technologies.
AB - The stable and efficient operation of the transmission network is fundamental to the power system's ability to deliver electricity reliably and cheaply. As average temperatures continue to rise, the ability of the transmission network to meet demand is diminished. Higher temperatures lead to congestion by reducing thermal limits of lines while simultaneously reducing generation potential. Due to prohibitive costs and limited real estate for building new lines, it is necessary to consider capacity expansion as well to improve the functioning and efficiency of the grid. Optimal control, however, requires many discrete choices, rendering fully accurate models intractable. Furthermore, temperature changes will impact different regions and climate differently. As such, it is necessary to model both temperature changes and transmission flows with high spatial resolution. This work proposes a case study of the transmission grid centered in Arizona, using a DC optimal power flow mathematical formulation to plan for future transmission expansion and capacity expansion to efficiently meet demand. The effects of rising temperatures on transmission and generation are modeled at the regional level. Several classes of valid inequalities are employed to speed up the solution process. Multiple experiments considering different temperature and demand trends are considered which include each of the above technologies.
KW - Energy systems
KW - Mathematical programming
KW - Optimization
KW - Transmission expansion planning
KW - Valid inequalities
UR - http://www.scopus.com/inward/record.url?scp=85120999576&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85120999576&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85120999576
T3 - IISE Annual Conference and Expo 2021
SP - 872
EP - 877
BT - IISE Annual Conference and Expo 2021
A2 - Ghate, A.
A2 - Krishnaiyer, K.
A2 - Paynabar, K.
PB - Institute of Industrial and Systems Engineers, IISE
Y2 - 22 May 2021 through 25 May 2021
ER -