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Nash-Q learning-based collaborative dispatch strategy for interconnected power systems

Ran Li Yi Han Tao Ma Huilan Liu

全球能源互联网(英文)2020,Vol.3Issue(3):227-236,10.
全球能源互联网(英文)2020,Vol.3Issue(3):227-236,10.

Nash-Q learning-based collaborative dispatch strategy for interconnected power systems

Nash-Q learning-based collaborative dispatch strategy for interconnected power systems

Ran Li 1Yi Han 1Tao Ma 1Huilan Liu1

作者信息

  • 1. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Lianchi District, Baoding 071003, P.R. China
  • 折叠

摘要

关键词

Interconnected region/Noncooperative game/Q-learning/Wind power accommodation

Key words

Interconnected region/Noncooperative game/Q-learning/Wind power accommodation

引用本文复制引用

Ran Li,Yi Han,Tao Ma,Huilan Liu..Nash-Q learning-based collaborative dispatch strategy for interconnected power systems[J].全球能源互联网(英文),2020,3(3):227-236,10.

基金项目

This work is supported by the Fundamental Research&nbsp ()

Funds For the Central Universities (No. 2017MS093). (No. 2017MS093)

全球能源互联网(英文)

OACSCDCSTPCDEI

2096-5117

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