Deep learning-driven evolutionary algorithm for power system voltage stability control-Reference-Cited by-同舟云学术

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Deep learning-driven evolutionary algorithm for power system voltage stability control

Published:2022-08 Issue: Volume:8 Page:319-324
ISSN:2352-4847
Container-title:Energy Reports
language:en
Short-container-title:Energy Reports

Author:

Wang Tianxiang^ORCID,Liu Youbo,Qiu Gao^ORCID,Ding Lijie,Wei Wei,Liu Junyong

Publisher

Elsevier BV

Subject

General Energy

Reference8 articles.

1. Control of voltage stability using sensitivity analysis;Begovic;IEEE Trans Power Syst,1992

2. Voltage stability enhancement using VSC-opf including wind farms based on genetic algorithm;Khatua;Int J Electr Power Energy Syst,2015

3. Analytic deep learning-based surrogate model for operational planning with dynamic TTC constraints;Qiu;IEEE Trans Power Syst,2021

4. Fast computation method of static voltage stability using geometric parameter adjustment for the continuation power flow;Kuroda;Electr Eng Jpn,2021

5. Singular value sensitivity based optimal control of embedded VSC-HVDC for steady-state voltage stability enhancement;Urquidez;IEEE Trans Power Syst,2015

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