Research on real-time dispatch reliability assessment algorithm of smart grid based on neural network-Reference-Cited by-同舟云学术

Research on real-time dispatch reliability assessment algorithm of smart grid based on neural network

Published:2023-08-26 Issue: Volume: Page:
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Container-title:2023 International Conference on Computers, Information Processing and Advanced Education (CIPAE)
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Author:

Zhu Jinzhou¹,Cai Xinlei¹,Yu Zhenfan¹,Meng Zijie¹,Xue Yanjun²

Affiliation:

1. Power Dispatching and Controlling Center of Guangdong Power Grid Company Limited,Guangdong Power Grid Company Limited,Guangzhou,China

2. Beijing QU Creative Technology Co., Ltd.,Beijing,China

Funder

China Southern Power Grid

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10350193/10350194/10350207.pdf?arnumber=10350207

Reference15 articles.

1. A multi-agent deep reinforcement learning based collaborative optimization scheduling strategy for regional power grids [J];Yanan;Power Informationand Communication Technology,2023

2. Distributedeconomic dispatch model of interconnected AC/DC hybridmicro grid considering demand response[J];Guodong;Electric Measurement and Instrumentation,2023

3. Robust Optimal Dispatching of Distribution Microgrid Based on Deep Learning MethodIntegration[J];Yihong;Electrical Measurement and Instrumentation,2023

4. Double layer optimization of microgrid economic dispatch considering demand side response [J];Haowu;Electrical Automation,2023

5. Optimal power flow-based approach for grid dispatch problems through Rao algorithms

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