Optimal Allocation Of Series Facts Devices In Large-Scale Systems
Abstract
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.
Publication Date
4-30-2018
Publication Title
IET Generation, Transmission and Distribution
Volume
12
Issue
8
Number of Pages
1889-1896
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1049/iet-gtd.2017.1223
Copyright Status
Unknown
Socpus ID
85045909678 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/85045909678
STARS Citation
Zhang, Xiaohu; Tomsovic, Kevin; and Dimitrovski, Aleksandar, "Optimal Allocation Of Series Facts Devices In Large-Scale Systems" (2018). Scopus Export 2015-2019. 9066.
https://stars.library.ucf.edu/scopus2015/9066