Hybrid model-data-driven dynamic VAR planning for wind-penetrated power system using spectral surrogate techniques-Reference-Cited by-同舟云学术

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Hybrid model-data-driven dynamic VAR planning for wind-penetrated power system using spectral surrogate techniques

Published:2024-08 Issue: Volume:159 Page:109998
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Chi Yuan^ORCID,Zou Yao,Zheng Xinying,Wang Qianggang^ORCID

Publisher

Elsevier BV

Reference38 articles.

1. AEMO. 2016 South Australia separation event - Final report. Australian Energy Market Operator Limited, Brisbane, Australia; 2019. .

2. Chi Y, Tao AQ, Xu XL, Wang QG, Zhou NC. An adaptive many-objective robust optimization model of dynamic reactive power sources for voltage stability enhancement. J Modern Power Syst Clean Energy. Early Access; 2022.

3. Dynamic reactive power compensation of large-scale wind integrated power system;Rather;IEEE Trans Power Syst,2015

4. Hierarchical and distributed monitoring of voltage stability in distribution networks;Aolaritei;IEEE Trans Power Syst,2018

5. Optimal allocation of dynamic var sources using the voronoi diagram method integrating linear programing;Huang;IEEE Trans Power Syst,2017

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