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CLC number: TM921

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Received: 2008-01-17

Revision Accepted: 2008-03-24

Crosschecked: 2008-10-27

Cited: 37

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Journal of Zhejiang University SCIENCE A 2008 Vol.9 No.12 P.1753~1764

http://doi.org/10.1631/jzus.A0820047


Application of honey-bee mating optimization on state estimation of a power distribution system including distributed generators


Author(s):  Taher NIKNAM

Affiliation(s):  Electronic and Electrical Department, Shiraz University of Technology, Shiraz, Iran

Corresponding email(s):   niknam@sutech.ac.ir, taher_nik@yahoo.com

Key Words:  Distributed generators (DGs), State estimation, Honey-bee mating optimization (HBMO)


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Taher NIKNAM. Application of honey-bee mating optimization on state estimation of a power distribution system including distributed generators[J]. Journal of Zhejiang University Science A, 2008, 9(12): 1753~1764.

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Abstract: 
We present a new approach based on honey-bee mating optimization to estimate the state variables in distribution networks including distributed generators. The proposed method considers practical models of electrical equipments such as static var compensators, voltage regulators, and under-load tap changer transformers, which have usually nonlinear and discrete characteristics. The feasibility of the proposed approach is demonstrated by comparison with the methods based on neural networks, ant colony optimization, and genetic algorithms for two test systems, a network with 34-bus radial test feeders and a realistic 80-bus 20 kV network.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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