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

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