A novel algorithm based on Honey Bee Mating Optimization for distribution harmonic state estimation including distributed generators

A. Arefi; M.R. Haghifam; S.H. Fathi; T. Niknam; J. Olamaei

doi:10.1109/PTC.2009.5282101

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Conference paper

A novel algorithm based on Honey Bee Mating Optimization for distribution harmonic state estimation including distributed generators

A. Arefi, M.R. Haghifam, S.H. Fathi, T. Niknam and J. Olamaei

2009 IEEE Bucharest PowerTech, Article number 5282101

IEEE

2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future (Bucharest, Romania, 28/06/2009–02/07/2009)

2009

DOI: https://doi.org/10.1109/PTC.2009.5282101

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Abstract

This paper presents a new algorithm based on Honey-Bee Mating Optimization (HBMO) to estimate harmonic state variables in distribution networks including Distributed Generators (DGs). The proposed algorithm performs estimation for both amplitude and phase of each harmonics by minimizing the error between the measured values from Phasor Measurement Units (PMUs) and the values computed from the estimated parameters during the estimation process. Simulation results on two distribution test system are presented to demonstrate that the speed and accuracy of proposed Distribution Harmonic State Estimation (DHSE) algorithm is extremely effective and efficient in comparison with the conventional algorithms such as weight Least Square (WLS), Genetic Algorithm (GA) and Tabu Search (TS).

Details

Title: A novel algorithm based on Honey Bee Mating Optimization for distribution harmonic state estimation including distributed generators
Authors/Creators: A. Arefi (Author/Creator) - Tarbiat Modares University
M.R. Haghifam (Author/Creator) - Tarbiat Modares University
S.H. Fathi (Author/Creator) - Amirkabir University of Technology
T. Niknam (Author/Creator) - Shiraz University of Technology
J. Olamaei (Author/Creator) - Islamic Azad University South Tehran Branch
Publication Details: 2009 IEEE Bucharest PowerTech, Article number 5282101
Conference: 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future (Bucharest, Romania, 28/06/2009–02/07/2009)
Publisher: IEEE
Identifiers: 991005540453607891
Murdoch Affiliation: Murdoch University
Language: English
Resource Type: Conference paper

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