Data-driven Automatic Generation Control capacity prediction method-Reference-Cited by-同舟云学术

Data-driven Automatic Generation Control capacity prediction method

Published:2022-11-29 Issue: Volume: Page:
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Container-title:2022 25th International Conference on Electrical Machines and Systems (ICEMS)
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Author:

Wang Shuo¹,Kong Xiangyu¹,Liu Mao¹,Shi Haobo²,Wang Xi³,Dai Qian¹

Affiliation:

1. Tianjin University,Key Laboratory of Smart Grid of Ministry of Education,Tianjin,China

2. China Electric Power Research Institute Co., Ltd.,Beijing,China

3. Electric Power Research Institute of State Grid Sichuan Electric Power Company,Chengdu,China

Funder

State Grid Corporation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9982721/9982797/09983297.pdf?arnumber=9983297

Reference6 articles.

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2. Real-time Prior Dispatch Method for Renewable Energy with Safety and Economy Coordination of Power Grid and Its Application;wang;Automation of Electric Power Systems,2020

3. Optimal sizing of ESS for reducing AGC payment in a power system with high PV penetration

4. Wind Farm Participating in AGC Based on Distributed Model Predictive Control;ye;Power System Technology,2019

5. Data-Driven Regulation Reserve Capacity Determination Based on Bayes Theorem

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