Title
Stochastic Security-Constrained Scheduling of Coordinated Electricity and Natural Gas Infrastructures
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.
Year
DOI
Venue
2017
10.1109/JSYST.2015.2423498
IEEE Systems Journal
Keywords
Field
DocType
Load forecasting,mixed-integer programming,natural gas and electricity infrastructures,optimization,stochastic security-constrained unit commitment (SCUC),uncertainty
Mathematical optimization,Computer science,Electricity,Power system simulation,Electric power system,Stochastic process,Electric power transmission,Stochastic modelling,Natural gas,Grid
Journal
Volume
Issue
ISSN
PP
99
1932-8184
Citations 
PageRank 
References 
0
0.34
2
Authors
4
Name
Order
Citations
PageRank
Ahmed Alabdulwahab1868.23
Abdullah Abusorrah212117.75
Xiaping Zhang3132.25
Mohammad Shahidehpour435575.28