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Security Constrained Unit Commitment With Natural Gas Transmission Delivery Constraints
Badakhshan, Sobhan | 2015
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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 47595 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Ehsan, Mahdi
- Abstract:
- Natural gas power plant installed in power system as rapid start unit. In the recent decades, with increasing in the number of gas generating units in the world, consideration of natural gas transmission network in optimal solution of security-constrained unit commitment (SCUC) become a non-negligible problem. The gas transmission grid constraints integrated into the scheduling of thermal units in the proposed model for minimizes power system operating cost. In a power plant transmission of natural gas to power plant is very important because congestion in natural gas pipeline increases. This model could consider natural gas storage tank in gas transmission network as decision variable. Natural gas transmission network is modeled with dynamic characteristics to consider property of pipeline storage segment. This thesis presents a formulation of fuzzy optimization for uncertainties in natural gas in fuel constraints for hourly individual unit and total unit fuel consumptions. Security Constrained Unit Commitment (SCUC) is usually a mixed integer programming and gas load flow has a non-linear equation a genetic algorithm is proposed to solve natural gas transmission network. A fuzzy mixed integer programming optimization is briefly discussed and adapted to deal with security constrained unit
commitment schedule. Finally, two case studies are investigated (IEEE 6-bus system with 7-node natural gas transmission grid and the IEEE 118-bus power system linked with 14-node gas transmission test system) and the SCUC results are discussed and compared for the both cases of fuzzy constraints and crisp model - Keywords:
- Natural Gas ; Fuzzy Logic ; Dynamic Modeling ; Security-Constrained Unit Commitment (SCUC) ; Gas Transport