Embedded Scenario Clustering for Wind and Photovoltaic Power, and Load Based on Multi-Head Self-Attention-Reference-Cited by-同舟云学术

Embedded Scenario Clustering for Wind and Photovoltaic Power, and Load Based on Multi-Head Self-Attention

Published:2024-01 Issue:1 Volume:9 Page:122-132
ISSN:2367-2617
Container-title:Protection and Control of Modern Power Systems
language:
Short-container-title:Prot. Control Mod. Power Syst.

Author:

Liu Lijun¹,Hu Xin²,Chen Junsheng³,Wu Ruixing²,Chen Feixiong⁴

Affiliation:

1. School of Electrical Engineering and Automation, Fuzhou University,Fuzhou,China,350108

2. School of Electrical Engineering and Automation, Fuzhou University,Fuzhou,China

3. State Grid Fuzhou Power Supply Company,China

4. Fujian Smart Electrical Engineering Technology Research Center, College of Electrical Engineering and Automation, Fuzhou University,Fuzhou,China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10352418/10387532/10387473.pdf?arnumber=10387473

Reference28 articles.

1. Exploiting the Operational Flexibility of Wind Integrated Hybrid AC/DC Power Systems

2. Controlled Islanding Strategy Considering Uncertainty of Renewable Energy Sources Based on Chance-constrained Model

3. The joint scenario generation of multi source-load by modular denoising variational autoencoder considering the complex coupling characteristics of meteorology;Huang

4. Planning of distributed renewable energy systems under uncertainty based on statistical machine learning

5. Optimal Allocation of PV Generation and Battery Storage for Enhanced Resilience

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