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author:

Jiang, Yuewen (Jiang, Yuewen.) [1] (Scholars:江岳文) | Zhang, Jinhui (Zhang, Jinhui.) [2]

Indexed by:

EI PKU CSCD

Abstract:

The current planning and construction of offshore wind farm rarely considers the construction time sequence, which mostly belongs to static single-stage planning and is easily lead to the lack of effective connection between the initial planning scheme and the operation at middle and late stages, for which, a multi-stage planning scheme for offshore wind farm considering wind power accommodation level is proposed. The day-ahead market trading model with the lowest electricity purchase cost as its objective is established to evaluate the maximum accommodation level of power grid to offshore wind power, and the maximum accom-modation levels of regional power grid to offshore wind power are obtained under different load levels in the future years. On this basis, the planning period is divided into several stages, and a multi-stage planning model of offshore wind farm with the maximum net revenue of wind farm as its objective is built, which takes the investment year, number, location and the belonging investment stage of wind turbines as its optimi-zation variables. Examples verify the effectiveness of multi-stage planning model in improving economic bene-fit of offshore wind farm compared with single-stage planning model. © 2022, Electric Power Automation Equipment Press. All right reserved.

Keyword:

Commerce Electric power system interconnection Electric power transmission networks Electric utilities Investments Offshore oil well production Offshore wind farms

Community:

  • [ 1 ] [Jiang, Yuewen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Jiang, Yuewen]Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou; 350108, China
  • [ 3 ] [Jiang, Yuewen]Research Center of Integrated Energy Planning and Optimal Operation, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Zhang, Jinhui]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

CN: 32-1318/TM

Year: 2022

Issue: 2

Volume: 42

Page: 85-91

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 9

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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