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author:

Chen, J. (Chen, J..) [1] | Lin, H. (Lin, H..) [2] | Cai, J. (Cai, J..) [3] | Li, C. (Li, C..) [4] | Huang, D. (Huang, D..) [5] | Huang, T. (Huang, T..) [6]

Indexed by:

Scopus PKU CSCD

Abstract:

A combination weighting approach is proposed to solve the weight coefficients of the objective function for the selection of DC-link location, which adopts the entropy function to consider both the randomness of weights and the consistency among weight vectors, constructs a constrained nonlinear model and applies the improved particle swarm optimization algorithm to solve it, resulting in a more reasonable weight combination and a more reliable objective function. Comparison of the average difference between the proposed and other objective functions shows that, the proposed approach for the selection of DC-link location is effective and more reasonable. ©, 2015, Electric Power Automation Equipment Press. All right reserved.

Keyword:

Combination; DC power transmission; DC-link location; Entropy; Multi-attribute decision making; Objective function; weighting

Community:

  • [ 1 ] [Chen, J.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350002, China
  • [ 2 ] [Chen, J.]Technology Center of Fujian Electric Power Co. Ltd., Fuzhou, 350007, China
  • [ 3 ] [Lin, H.]Fujian Electric Power Co. Ltd., Fuzhou, 350003, China
  • [ 4 ] [Cai, J.]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, 350002, China
  • [ 5 ] [Li, C.]Electric Power Research Institute of Fujian Electric Power Co. Ltd., Fuzhou, 350007, China
  • [ 6 ] [Huang, D.]Electric Power Research Institute of Fujian Electric Power Co. Ltd., Fuzhou, 350007, China
  • [ 7 ] [Huang, T.]Electric Power Research Institute of Fujian Electric Power Co. Ltd., Fuzhou, 350007, China

Reprint 's Address:

  • [Chen, J.]College of Electrical Engineering and Automation, Fuzhou UniversityChina

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

Year: 2015

Issue: 1

Volume: 35

Page: 146-152

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 10

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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