A Novel Ensemble Learning-Based Method for Online Total Transfer Capability Assessment of New Power System With Increased Stochastics-Reference-Cited by-同舟云学术

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A Novel Ensemble Learning-Based Method for Online Total Transfer Capability Assessment of New Power System With Increased Stochastics

Published:2024 Issue: Volume:12 Page:120512-120523
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Gao Huimin¹^ORCID,Lu Yi²,Diao Ruisheng³^ORCID,Zhang Jing⁴,Liu Zhanning³,Zhao Ao³

Affiliation:

1. College of Information Engineering, Hangzhou Dianzi University, Hangzhou, China

2. College of Automation, Hangzhou Dianzi University, Hangzhou, China

3. The ZJU-UIUC Institute, Zhejiang University, Haining, Zhejiang, China

4. State Grid Zhejiang Electric Power Company, Hangzhou, Zhejiang, China

Funder

National Natural Science Foundation of China

Hangzhou Dianzi University Information Engineering College Science Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10648690.pdf?arnumber=10648690

Reference30 articles.

1. Integrating flexible demand response toward available transfer capability enhancement

2. An efficient holomorphic embedded based approach for available transfer capability evaluation

3. Iterative Distributed Algorithms for Real-Time Available Transfer Capability Assessment of Multiarea Power Systems

4. Transmission Expansion Planning Considering a High Share of Wind Power to Maximize Available Transfer Capability

5. A streamlined and enhanced iterative method for analysing power system available transfer capability and security

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