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

Arefi, A.ORCID: 0000-0001-9642-7639, Haghifam, M.R., Fathi, S.H., Niknam, T. and Olamaei, J. (2009) A novel algorithm based on Honey Bee Mating Optimization for distribution harmonic state estimation including distributed generators. In: 2009 IEEE Bucharest PowerTech: Innovative Ideas Toward the Electrical Grid of the Future, 28 June - 2 July 2009, Bucharest, Romania Article number 5282101.

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).

Item Type:	Conference Paper
Publisher:	IEEE
Copyright:	© 2009 IEEE
URI:	http://researchrepository.murdoch.edu.au/id/eprint/52007

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