Distribution harmonic state estimation based on a modified PSO considering parameters uncertainty

Arefi, Ali, Haghifam, Mahmood Reza, & Fathi, Seyed Hamid (2011) Distribution harmonic state estimation based on a modified PSO considering parameters uncertainty. In Proceedings of the 2011 IEEE Trondheim PowerTech, IEEE, Trondheim, pp. 1-7.

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This paper presents a new algorithm based on a Modified Particle Swarm Optimization (MPSO) to estimate the harmonic state variables in a distribution networks. The proposed algorithm performs the estimation for both amplitude and phase of each injection harmonic currents 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. The proposed algorithm can take into account the uncertainty of the harmonic pseudo measurement and the tolerance in the line impedances of the network as well as the uncertainty of the Distributed Generators (DGs) such as Wind Turbines (WTs). The main features of the proposed MPSO algorithm are usage of a primary and secondary PSO loop and applying the mutation function. The simulation results on 34-bus IEEE radial and a 70-bus realistic radial test networks are presented. The results demonstrate that the speed and the accuracy of the proposed Distribution Harmonic State Estimation (DHSE) algorithm are very excellent compared to the algorithms such as Weight Least Square (WLS), Genetic Algorithm (GA), original PSO, and Honey Bees Mating Optimization (HBMO).

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9 citations in Scopus
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ID Code: 68739
Item Type: Conference Paper
Refereed: Yes
Keywords: Harmonic state estimation, Distributed generators, Uncertainty analysis, Modified particle swarm optimization, Distribution networks
DOI: 10.1109/PTC.2011.6019326
ISBN: 9781424484195
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Deposited On: 19 Mar 2014 02:49
Last Modified: 04 Dec 2015 02:34

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