Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/139807
Title: | Retirement-driven dynamic VAR planning for voltage stability enhancement of power systems with high-level wind power | Authors: | Liu, Junwei Xu, Yan Dong, Zhao Yang Wong, Kit Po |
Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2017 | Source: | Liu, J., Xu, Y., Dong, Z. Y., & Wong, K. P. (2018). Retirement-driven dynamic VAR planning for voltage stability enhancement of power systems with high-level wind power. IEEE Transactions on Power Systems, 33(2), 2282-2291. doi:10.1109/TPWRS.2017.2732441 | Journal: | IEEE Transactions on Power Systems | Abstract: | Conventional VAR compensation devices such as capacitor banks and synchronous condensers, after long periods of service, have become aged and less effective to satisfy stringent requirement of short-term voltage stability in high-level wind power penetrated power systems. STATCOMs with a rapid and dynamic reactive power support capability can be an ideal alternative, when combined with a proper equipment retirement and upgrades scheme. This paper proposes a systematic approach for optimal dynamic VAR resource planning and upgrading for a power system with increased wind power penetration and equipment retirement. The problem is constituted by two parts that are aged equipment retirement and new equipment placement. A multiobjective optimization model is proposed to minimize three objectives: the cost of retirement and upgrades, the index of proximity to steady-state voltage collapse, and the index of transient voltage unaccepted performance. To simulate real-world operating situation, multiple contingencies and uncertain dynamic load models are taken into account. Furthermore, low- and high-voltage ride through abilities for wind farms are modeled. The proposed model is tested on the New England 39-bus test system. | URI: | https://hdl.handle.net/10356/139807 | ISSN: | 0885-8950 | DOI: | 10.1109/TPWRS.2017.2732441 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2017 IEEE. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles |
SCOPUSTM
Citations
10
43
Updated on May 26, 2023
Web of ScienceTM
Citations
10
35
Updated on May 26, 2023
Page view(s)
187
Updated on May 28, 2023
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.