Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/184921
Title: Stochastic Security-Constrained Scheduling of Coordinated Electricity and Natural Gas Infrastructures
Authors: Ahmed Alabdulwahab;Abdullah Abusorrah;Xiaping Zhang;Mohammad Shahidehpour
Year: 2017
Publisher: IEEE
Abstract: This paper proposes a coordinated stochastic model for studying the interdependence of electricity and natural gas transmission networks (referred to as EGTran). The coordinated model incorporates the stochastic power system conditions into the solution of security-constrained unit commitment problem with natural gas network constraints. The stochastic model considers random outages of generating units and transmission lines, as well as hourly forecast errors of day-ahead electricity load. The Monte Carlo simulation is applied to create multiple scenarios for the simulation of the uncertainties in the EGTran model. The nonlinear natural gas network constraints are converted into linear constraints and incorporated into the stochastic model. Numerical tests are performed in a six-bus system with a seven-node gas transmission network and the IEEE 118-bus power system with a ten-node gas transmission network. Numerical results demonstrate the effectiveness of EGTran to analyze the impact of random contingencies on power system operations with natural gas network constraints. The proposed EGTran model could be utilized by grid operators for the short-term commitment and dispatch of power systems in highly interdependent conditions with relatively large natural gas-fired generating units.
URI: http://localhost/handle/Hannan/184921
volume: 11
issue: 3
More Information: 1674,
1683
Appears in Collections:2017

Files in This Item:
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7110528.pdf884.99 kBAdobe PDF
Title: Stochastic Security-Constrained Scheduling of Coordinated Electricity and Natural Gas Infrastructures
Authors: Ahmed Alabdulwahab;Abdullah Abusorrah;Xiaping Zhang;Mohammad Shahidehpour
Year: 2017
Publisher: IEEE
Abstract: This paper proposes a coordinated stochastic model for studying the interdependence of electricity and natural gas transmission networks (referred to as EGTran). The coordinated model incorporates the stochastic power system conditions into the solution of security-constrained unit commitment problem with natural gas network constraints. The stochastic model considers random outages of generating units and transmission lines, as well as hourly forecast errors of day-ahead electricity load. The Monte Carlo simulation is applied to create multiple scenarios for the simulation of the uncertainties in the EGTran model. The nonlinear natural gas network constraints are converted into linear constraints and incorporated into the stochastic model. Numerical tests are performed in a six-bus system with a seven-node gas transmission network and the IEEE 118-bus power system with a ten-node gas transmission network. Numerical results demonstrate the effectiveness of EGTran to analyze the impact of random contingencies on power system operations with natural gas network constraints. The proposed EGTran model could be utilized by grid operators for the short-term commitment and dispatch of power systems in highly interdependent conditions with relatively large natural gas-fired generating units.
URI: http://localhost/handle/Hannan/184921
volume: 11
issue: 3
More Information: 1674,
1683
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7110528.pdf884.99 kBAdobe PDF
Title: Stochastic Security-Constrained Scheduling of Coordinated Electricity and Natural Gas Infrastructures
Authors: Ahmed Alabdulwahab;Abdullah Abusorrah;Xiaping Zhang;Mohammad Shahidehpour
Year: 2017
Publisher: IEEE
Abstract: This paper proposes a coordinated stochastic model for studying the interdependence of electricity and natural gas transmission networks (referred to as EGTran). The coordinated model incorporates the stochastic power system conditions into the solution of security-constrained unit commitment problem with natural gas network constraints. The stochastic model considers random outages of generating units and transmission lines, as well as hourly forecast errors of day-ahead electricity load. The Monte Carlo simulation is applied to create multiple scenarios for the simulation of the uncertainties in the EGTran model. The nonlinear natural gas network constraints are converted into linear constraints and incorporated into the stochastic model. Numerical tests are performed in a six-bus system with a seven-node gas transmission network and the IEEE 118-bus power system with a ten-node gas transmission network. Numerical results demonstrate the effectiveness of EGTran to analyze the impact of random contingencies on power system operations with natural gas network constraints. The proposed EGTran model could be utilized by grid operators for the short-term commitment and dispatch of power systems in highly interdependent conditions with relatively large natural gas-fired generating units.
URI: http://localhost/handle/Hannan/184921
volume: 11
issue: 3
More Information: 1674,
1683
Appears in Collections:2017

Files in This Item:
File SizeFormat 
7110528.pdf884.99 kBAdobe PDF