Series flexible AC transmission systems devices, such as the variable series reactor, have the ability to continuously regulate the transmission line reactance so as to control power flow. This study presents a new approach to optimally locating such devices in the transmission network considering multiple operating states and contingencies. To investigate optimal investment, a single target year planning with three different load patterns is considered. The transmission contingencies may occur under any of the three load conditions and the coupling constraints between base case and contingencies are included. A reformulation technique transforms the original mixed integer non‐linear programming model into mixed integer linear programming model. To further relieve the computational burden and enable the planning model to be directly applied to practical large‐scale systems, a two‐phase decomposition algorithm is introduced. Detailed numerical simulation results on IEEE 118‐bus system and the Polish 2383‐bus system illustrate the efficient performance of the proposed algorithm.
Zhang, Xiaohu, et al. "Optimal allocation of series FACTS devices in large‐scale systems." IET Generation, Transmission, & Distribution, vol. 12, no. 8, Feb. 2018. https://doi.org/10.1049/iet-gtd.2017.1223
Zhang, Xiaohu, Tomsovic, Kevin, & Dimitrovski, Aleksandar (2018). Optimal allocation of series FACTS devices in large‐scale systems. IET Generation, Transmission, & Distribution, 12(8). https://doi.org/10.1049/iet-gtd.2017.1223
Zhang, Xiaohu, Tomsovic, Kevin, and Dimitrovski, Aleksandar, "Optimal allocation of series FACTS devices in large‐scale systems," IET Generation, Transmission, & Distribution 12, no. 8 (2018), https://doi.org/10.1049/iet-gtd.2017.1223
@article{osti_1786747,
author = {Zhang, Xiaohu and Tomsovic, Kevin and Dimitrovski, Aleksandar},
title = {Optimal allocation of series FACTS devices in large‐scale systems},
annote = {Series flexible AC transmission systems devices, such as the variable series reactor, have the ability to continuously regulate the transmission line reactance so as to control power flow. This study presents a new approach to optimally locating such devices in the transmission network considering multiple operating states and contingencies. To investigate optimal investment, a single target year planning with three different load patterns is considered. The transmission contingencies may occur under any of the three load conditions and the coupling constraints between base case and contingencies are included. A reformulation technique transforms the original mixed integer non‐linear programming model into mixed integer linear programming model. To further relieve the computational burden and enable the planning model to be directly applied to practical large‐scale systems, a two‐phase decomposition algorithm is introduced. Detailed numerical simulation results on IEEE 118‐bus system and the Polish 2383‐bus system illustrate the efficient performance of the proposed algorithm.},
doi = {10.1049/iet-gtd.2017.1223},
url = {https://www.osti.gov/biblio/1786747},
journal = {IET Generation, Transmission, & Distribution},
issn = {ISSN 1751-8687},
number = {8},
volume = {12},
place = {United Kingdom},
publisher = {Institution of Engineering and Technology (IET)},
year = {2018},
month = {02}}
2004 IEEE International Symposium on Computer Aided Control Systems Design, 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508)https://doi.org/10.1109/CACSD.2004.1393890