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author:

Jiang, Yuewen (Jiang, Yuewen.) [1] (Scholars:江岳文) | Yu, Daihai (Yu, Daihai.) [2]

Indexed by:

EI PKU CSCD

Abstract:

Nowadays the wind curtailment situation is increasingly severe in China, and 'Internet +' is integrated into electric power industry step by step. This paper proposes a super short-time decentralized power generation right trading between wind farms and thermal units(PGRTBWT). When power output is more than the power of being absorbed into grid, wind farms will release information to invite thermal units which may participate in power generation right trading in order to reduce wind curtailment by 'Internet +' trading platform. The optimal decisions can be rapidly obtained by 'Internet +' distributed decision support system and cloud computing. Because of the randomness of wind power, the deviation always exists between real energy and the trading energy, which makes it unable for wind farms to perform the trading plan accurately. Therefore, this paper introduces the wind power unbalanced cost to analyze and calculate deviation cost. Finally, a case simulation shows the trading model is rational. This paper provides a reference for the accommodating of wind power. © 2019, Editorial Board of Acta Energiae Solaris Sinica. All right reserved.

Keyword:

Commerce Decision support systems Electric industry Electric power system interconnection Electric utilities Internet Power generation Wind power

Community:

  • [ 1 ] [Jiang, Yuewen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Yu, Daihai]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China

Reprint 's Address:

  • 江岳文

    [jiang, yuewen]college of electrical engineering and automation, fuzhou university, fuzhou; 350116, china

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Source :

Acta Energiae Solaris Sinica

ISSN: 0254-0096

CN: 11-2082/TK

Year: 2019

Issue: 1

Volume: 40

Page: 249-258

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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