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author:

Jiang, Yuewen (Jiang, Yuewen.) [1] (Scholars:江岳文) | Wen, Buying (Wen, Buying.) [2] (Scholars:温步瀛) | Wang, Yanbin (Wang, Yanbin.) [3]

Indexed by:

EI Scopus SCIE

Abstract:

In general, wind power output of clustering wind farms must be massively transmitted. The wind power in each wind farm is correlated, intermittent, fluctuant, and cannot be accommodated all the time, causing the intractable decision of economical transmission capacity of a project transmitting wind power to a power grid. Furthermore, the drastic fluctuation of clustered wind power results in enormous challenges regarding the safety of a power system. For these reasons, the concept of a wind-hydrogen power system for clustered wind farms is proposed. Next, a multiobjective model for optimizing the capacities, including the transmission project, hydrogen-producing system, and fuel cells, is constructed based on the joint distributed character of wind speed, which consists of maximizing social benefit and the qualified rate of smoothing clustering wind power fluctuations. Finally, a case is analyzed in detail, accounting for the wind volatility, wind curtailment probability, and the costs of both hydrogen production and the fuel cells.

Keyword:

capacity optimization clustered wind farms smoothing fluctuations social benefit wind-hydrogen system

Community:

  • [ 1 ] [Jiang, Yuewen]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350116, Fujian, Peoples R China
  • [ 2 ] [Wen, Buying]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350116, Fujian, Peoples R China
  • [ 3 ] [Wang, Yanbin]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350116, Fujian, Peoples R China

Reprint 's Address:

  • 江岳文

    [Jiang, Yuewen]Fuzhou Univ, Coll Elect Engn & Automat, Fuzhou 350116, Fujian, Peoples R China

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Source :

INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS

ISSN: 2050-7038

Year: 2019

Issue: 2

Volume: 29

1 . 6 9 2

JCR@2019

1 . 9 0 0

JCR@2023

ESI Discipline: ENGINEERING;

ESI HC Threshold:150

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 5

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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