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author:

Jiang, Y. (Jiang, Y..) [1] | Chen, M. (Chen, M..) [2]

Indexed by:

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:

Electric power systems; Installation capacity optimization; Multi-objective hierarchical optimization; Wind farms; Wind-power accommodation level; Wind-power supplier's benefit

Community:

  • [ 1 ] [Jiang, Y.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China
  • [ 2 ] [Chen, M.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350108, China

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

Year: 2017

Issue: 4

Volume: 37

Page: 52-59

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

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Chinese Cited Count:

30 Days PV: 0

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