TY - CONF
T1 - Elasticity model for joint gas-grid expansion planning optimization
AU - Borraz-Sánchez, Conrado
AU - Bent, Russell
AU - Van Hentenryck, Pascal
AU - Blumsack, Seth
AU - Hijazi, Hassan
N1 - Funding Information:
Pascal van Hentenryck is the Seth Bonder Collegiate Professor at the University of Michigan. He is professor of Industrial and Operations Engineering, Professor of Computer Science and Engineering, and Core Faculty in the Michigan Institute for Data Science (MIDAS). Prior to that, he led the optimization research group (about 70 people) at National ICT Australia (NICTA) and was a professor of Computer Science at Brown University for about 20 years. Van Hentenryck is the author of five books, all published by the MIT Press, and over 230 scientific publications. He is the recipient of an NSF Young Investigator award in 1993, the 2002 INFORMS Computing Society (ICS) prize, the 2006 ACP award, doctor honoris causa degrees from the University of Louvain in 2008 and from the University of Nantes in 2011. He is a fellow of the Association for the Advancement of Artificial Intelligence (AAAI), the recipient of the Philip J. Bray Award for Teaching Excellence at Brown University and a 2013 IFORS distinguished lecturer. Van Hentenryck had award-winning papers at CP’03, CP’04, ASE’04, IJCAI’07, SEDE’09, PAIS’14, and AAAI’15, and received a Test of Time (20 years) Award from the association of logic programming. He gave plenary or semi-plenary talks at the SIAM Optimization Conference, the International Symposium on Mathematical Programming, the INFORMS Annual Conference, the Joint International Conference on Artificial Intelligence, and the International Conference in Uncertainty in Artificial Intelligence among others. Van Hentenryck’s current research is in prescriptive analytics at the intersection of data science and optimization, with applications to energy systems (electrical and gas networks), disaster management, transportation and logistics, social science, and marketing.
Publisher Copyright:
© Copyright 2016, PSIG, Inc.
PY - 2016
Y1 - 2016
N2 - In recent years, the electric power industry has benefited from decreases in natural gas prices. These low prices have encouraged the installation of natural gas-fired power plants and have increased connections between natural gas and electric power systems. However, despite their dependencies, the gas and power industries have technical, political and commercial constraints that often force them to plan, operate and manage in isolation. Such limitations sometimes lead to undesirable outcomes, such as those experienced by both systems during the winter of 2013/2014 in the northeastern United States. In this paper, we focus on reducing the technical and computation limitations. We first present a mathematical model of combined gas and power systems and apply it to planning problems where expansion and upgrades are needed to meet increased demand. We second describe our previous work in convex relaxations that have yielded promising results. Finally, we introduce a gas-price elasticity model that includes the effects of gas-price volatility caused by congestion of the integrated gas-grid expansion system.
AB - In recent years, the electric power industry has benefited from decreases in natural gas prices. These low prices have encouraged the installation of natural gas-fired power plants and have increased connections between natural gas and electric power systems. However, despite their dependencies, the gas and power industries have technical, political and commercial constraints that often force them to plan, operate and manage in isolation. Such limitations sometimes lead to undesirable outcomes, such as those experienced by both systems during the winter of 2013/2014 in the northeastern United States. In this paper, we focus on reducing the technical and computation limitations. We first present a mathematical model of combined gas and power systems and apply it to planning problems where expansion and upgrades are needed to meet increased demand. We second describe our previous work in convex relaxations that have yielded promising results. Finally, we introduce a gas-price elasticity model that includes the effects of gas-price volatility caused by congestion of the integrated gas-grid expansion system.
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M3 - Paper
AN - SCOPUS:85051462081
T2 - Pipeline Simulation Interest Group Annual Meeting, PSIG 2016
Y2 - 10 May 2016 through 13 May 2016
ER -