TY - GEN
T1 - Assessing risk of gas shortage in coupled gas-electricity infrastructures
AU - Zlotnik, Anatoly
AU - Chertkov, Michael
AU - Turitsyn, Konstantin
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/3/7
Y1 - 2016/3/7
N2 - Many power systems in the United States and elsewhere are experiencing simultaneous increases of the gas-fired and renewable portions in the generation profile. Both contributions are sufficiently clean to replace retiring generators, which are mainly coal-fired. Moreover, pairing gas and renewables is advantageous because the former is flexible enough to mitigate the exogenous fluctuations of the latter. However, the resulting strong coupling of power systems and gas transmission networks through gas-fired generators also imposes risks. In particular, excessive fuel usage by gas-fired power plants may lead to violation of gas pressure limits and gas supply shortages. To provide a simple tool for assessing these risks, we develop a computational framework that characterizes regions of generator dispatch solutions that maintain gas system feasibility. The proposed algorithmic framework is modular - built through a coordinated execution of multiple generation scenarios within power and gas simulation modules. Monotone dependence of the gas pipeline pressure on the rates of gas withdrawals allows to establish and certify regions of feasibility/infeasibility in the space of the gas injections. The framework is validated against simulations of a highly detailed benchmark gas-electricity model. We conclude the manuscript with a discussion of possible applications of the results to power system operation procedures and regulatory practices.
AB - Many power systems in the United States and elsewhere are experiencing simultaneous increases of the gas-fired and renewable portions in the generation profile. Both contributions are sufficiently clean to replace retiring generators, which are mainly coal-fired. Moreover, pairing gas and renewables is advantageous because the former is flexible enough to mitigate the exogenous fluctuations of the latter. However, the resulting strong coupling of power systems and gas transmission networks through gas-fired generators also imposes risks. In particular, excessive fuel usage by gas-fired power plants may lead to violation of gas pressure limits and gas supply shortages. To provide a simple tool for assessing these risks, we develop a computational framework that characterizes regions of generator dispatch solutions that maintain gas system feasibility. The proposed algorithmic framework is modular - built through a coordinated execution of multiple generation scenarios within power and gas simulation modules. Monotone dependence of the gas pipeline pressure on the rates of gas withdrawals allows to establish and certify regions of feasibility/infeasibility in the space of the gas injections. The framework is validated against simulations of a highly detailed benchmark gas-electricity model. We conclude the manuscript with a discussion of possible applications of the results to power system operation procedures and regulatory practices.
KW - Gas-Electric Coupling
KW - Natural Gas Networks
KW - Optimal Power Flow
UR - http://www.scopus.com/inward/record.url?scp=84975453936&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84975453936&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2016.315
DO - 10.1109/HICSS.2016.315
M3 - Conference contribution
AN - SCOPUS:84975453936
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 2519
EP - 2527
BT - Proceedings of the 49th Annual Hawaii International Conference on System Sciences, HICSS 2016
A2 - Sprague, Ralph H.
A2 - Bui, Tung X.
PB - IEEE Computer Society
T2 - 49th Annual Hawaii International Conference on System Sciences, HICSS 2016
Y2 - 5 January 2016 through 8 January 2016
ER -