- Title
- Dynamic signature-based alignment factor for Var allocation
- Creator
- Alshareef, Abdulrhman; Shah, Rakibuzzaman; Mithulananthan, Nadarajah; Akram, Umer; Krimanto, Uji
- Date
- 2022
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/192841
- Identifier
- vital:18059
- Identifier
-
https://doi.org/10.1109/APPEEC53445.2022.10072105
- Identifier
- ISBN:2157-4839 (ISSN); 9781665467384 (ISBN)
- Abstract
- A driven-data trajectory approach has been developed to allocate dynamic VAr source (DVS) to improve the short-term voltage stability (STVS) of power grids. The siting approach for DVS would be carried out by the comparing grid responses of different sites with DVS by considering the desired reference response. The undergoing assessment emphatically covers the full signature of grid dynamics interaction involving generation, transmission, and load characteristics. For illustration, the developed approach is applied to the Reliability and Voltage Stability (RVS) test system designed for STVS analysis. Several scenarios are tested, such as different levels of induction motor load, large-scale PV (LSPV), and LSPV reactive current injection, to demonstrate the viability and robustness of the approach. Subsequently, the viability and robustness of the siting approach are verified by checking STVS performance using the VRIsys index. © 2022 IEEE.
- Publisher
- IEEE Computer Society
- Relation
- 14th IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2022, Melbourne, Australia, 20-23 November 2022, Asia-Pacific Power and Energy Engineering Conference, APPEEC Vol. 2022-November
- Rights
- All metadata describing materials held in, or linked to, the repository is freely available under a CC0 licence
- Rights
- Copyright © 2022 by IEEE
- Subject
- Data-driven trajectory; Dynamic signature; PV generator; Short-term voltage stability; Voltage recovery
- Reviewed
- Funder
- University of Jeddah, Saudi Arabia
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