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author:

Jiang, Yuewen (Jiang, Yuewen.) [1] (Scholars:江岳文) | Chen, Meisen (Chen, Meisen.) [2]

Indexed by:

EI Scopus PKU CSCD

Abstract:

The reasonable planning of wind farm installation capacity is an effective way to lessen the wind curtailment, optimize the operation of power system and reduce the loss of wind-power suppliers, which depends mainly on the wind-power accommodation capability of grid, the wind resource of wind farm and the operating mode of wind-power supplier. A multi-objective hierarchical optimization model is proposed for the reasonable planning of wind farm installation capacity. The first optimization layer takes the environmental-economic dispatch of grid as its objective to fully play the role of wind power in the energy-saving and emission-reduction. It analyses and calculates the wind-power accommodation capability of grid for different typical daily loads to obtain different curves of wind-power accommodation level. Based on the optimal grid wind-power accommodation level obtained in the first layer and the stochastically-simulated wind-speed sequence of wind farm, the second optimization layer takes the minimum summation of wind-curtailment expectation and wind-shortage expectation as its objective. It establishes the random chance constrained programming model to evaluate the optimal wind farm installation capacity with the consideration of expected wind-power's supplier benefit. Simulation example verifies the effectiveness and rationality of the proposed optimization model. © 2017, Electric Power Automation Equipment Press. All right reserved.

Keyword:

Computer programming Electric load dispatching Electric power system economics Electric power system interconnection Electric power systems Electric power transmission networks Electric utilities Emission control Energy conservation Hierarchical systems Installation Multiobjective optimization Scheduling Wind Wind power

Community:

  • [ 1 ] [Jiang, Yuewen]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Chen, Meisen]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: 2017

Issue: 4

Volume: 37

Page: 52-59

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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