Real-time emergency load shedding for power system transient stability control: A risk-averse deep learning method

Author:

Liu Jizhe,Zhang Yuchen,Meng Ke,Dong Zhao Yang,Xu Yan,Han Siming

Funder

Australian Research Council

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Mechanical Engineering,General Energy,Building and Construction

Reference36 articles.

1. Australian Energy Market Operator (AEMO), “Black system South Australia 28 Sep 2016 – Final report,” Mar. 2017.

2. Electric Reliability Council of Texas (ERCOT), “Review of February 2021 extreme cold weather event – ERCOT presentation,” Feb. 2021.

3. Review and prospect of hidden failure: Protection system and security and stability control system;Zhao;J. Modern Power Syst. Clean Energy Jun.,2015

4. Optimization of the event-driven emergency load-shedding considering transient security and stability constraints;Xu;IEEE Trans. Power Systems,2017

5. A parallel reduced-space interior point method with orthogonal collocation for first-swing stability constrained emergency control;Jiang;IEEE Trans. Power Systems,2014

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