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Transmission Expansion Planning Considering Network Topology Optimization

Zargar Rezaee, Amir | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51267 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi-Firuzabad, Mahmud
  7. Abstract:
  8. With increasing demand levels in recent years, transmission congestion is considered as one of the most important power system constraints. This limitation can result in higher operational costs and load curtailment. Furthermore, in power systems with high penetration of wind power, a significant amount of wind curtailment may occur due to congestion of transmission lines. Thus, in order to guarantee a reliable and economic operation of the power system, new transmission lines should be constructed with a rational plan. Very high investment costs are required for building new transmission lines to meet the growing demand. This fact as well as the other associated difficulties emphasize the importance of more efficient utilization of current infrastructure. Optimal transmission switching (OTS) along with optimal bus-bar switching, also known as network topology optimization (NTO) has been previously proposed and utilized as a powerful tool to reduce both operational and investment costs. However, operational constraints and reliability considerations of NTO problem have not been addressed properly. In this thesis, operational constraints are integrated in NTO and the effects of transmission network switching as well as substation faults on expected interruption costs (EIC) are investigated. Moreover, a novel approach based on pool of solutions approach is presented, which can generate various switching scenarios. In doing so, the decision maker would be able to analyse and choose the best scenario in terms of operational costs and EIC from a set of possible solutions. Finally, in order to investigate the effect of network topology optimization on transmission expansion planning, a novel model is presented and Benders decomposition has been utilized to solve the problem for large-scale power systems. The proposed models are implemented on the IEEE 118-bus test system. The results demonstrate that network topology optimization can reduce EIC while having a great impact on transmission expansion planning
  9. Keywords:
  10. Benders Decomposition ; Operation ; Reliability ; Transmission Expansion Planning ; Network Topology ; Network Topology Optimization ; Solution Pool

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