A Two-Stage transient stability prediction method using convolutional residual memory network and gated recurrent unit-Reference-Cited by-同舟云学术

A Two-Stage transient stability prediction method using convolutional residual memory network and gated recurrent unit

Published:2022-06 Issue: Volume:138 Page:107973
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:

Zhan Xianwen,Han Song,Rong Na,Liu Peili,Ao Weizhi

Funder

National Natural Science Foundation of China

Guizhou Province Science and Technology Foundation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference43 articles.

1. B. Asa, A. Rp, and A. Jm, “Identification of transient stability boundaries for power systems with multidimensional uncertainties using index-specific parametric space,” Int J Electr Power Energy Syst vol. 123.

2. Transient stability in oscillating multi-machine systems using Lyapunov vectors;Bosetti;IEEE Trans Power Syst,2017

3. Load flow balancing and transient stability analysis in renewable integrated power grids;Adnan;Int J Electr Power Energy Syst,2019

4. Stochastic Economic Dispatch of Hydro-Thermal-Wind-Photovoltaic Power System Considering Mixed Coal-Blending Combustion;Huang;IEEE Access,2020

5. Probabilistic framework for transient stability assessment of power systems with high penetration of renewable generation;Papadopoulos;IEEE Trans Power Syst,2016

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