NDLI: Distribution harmonic state estimation based on a hybrid PSO and SA algorithm considering parameters uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Arefi, A. Haghifam, M. R. Fathi, S. H.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran (Fathi, S. H.) \|\| Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran (Arefi, A.; Haghifam, M. R.)
Abstract	This paper presents a new algorithm based on a Hybrid Particle Swarm Optimization (PSO) and Simulated Annealing (SA) called PSO-SA to estimate harmonic state variables in distribution networks. The proposed algorithm performs estimation for both amplitude and phase of each harmonic currents injection 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 uncertainty of the Distributed Generators (DGs) such as Wind Turbines (WT). The main feature of proposed PSO-SA algorithm is to reach quickly around the global optimum by PSO with enabling a mutation function and then to find that optimum by SA searching algorithm. Simulation results on IEEE 34 bus radial and a realistic 70-bus radial test networks are presented to demonstrate 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), original PSO and Honey Bees Mating Optimization (HBMO) algorithm.
Starting Page	1
Ending Page	7
File Size	1336037
Page Count	7
File Format	PDF
ISBN	9781457710001
ISSN	19449925
e-ISBN	9781457710025
e-ISBN	9781457710018
DOI	10.1109/PES.2011.6039854
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Harmonic analysis Measurement uncertainty Uncertainty Optimization Current measurement Phasor measurement units Estimation Distribution Networks Harmonic State Estimation Distributed Generators Uncertainty Analysis Particle Swarm Optimization Simulated annealing
Content Type	Text
Resource Type	Article

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