Data-Driven Dynamic Security Assessment and Control of Power Systems: An Online Sequential Learning Method-Reference-Cited by-同舟云学术

Data-Driven Dynamic Security Assessment and Control of Power Systems: An Online Sequential Learning Method

Published:2019-10 Issue:5 Volume:145 Page:04019019
ISSN:0733-9402
Container-title:Journal of Energy Engineering
language:en
Short-container-title:J. Energy Eng.

Author:

Zhang Rui¹,Xu Yan²

Affiliation:

1. Visiting Professor, School of Electrical and Information Engineering, Changsha Univ. of Science and Technology, Changsha 410015, China.

2. Professor, School of Electrical and Information Engineering, Changsha Univ. of Science and Technology, Changsha 410015, China (corresponding author).

Publisher

American Society of Civil Engineers (ASCE)

Subject

Waste Management and Disposal,Energy Engineering and Power Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29EY.1943-7897.0000619

Reference28 articles.

1. AEMO (Australian Energy Market Operator). 2016. “Black system South Australia 28 Sep 2016 3rd preliminary report.” VIC Australia. Accessed September 18 2018. https://www.aemo.com.au/-/media/Files/Electricity/NEM/Security_and_Reliability/Reports/Integrated-Third-Report-SA-Black-System-28-September-2016.pdf.

2. Transient Stability Prediction by a Hybrid Intelligent System

3. Causes of the 2003 Major Grid Blackouts in North America and Europe, and Recommended Means to Improve System Dynamic Performance

4. Using IS to Assess an Electric Power System's Real-Time Stability

5. Decision Tree-Based Preventive and Corrective Control Applications for Dynamic Security Enhancement in Power Systems

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