A novel algorithm based on honey bee mating optimization for distribution harmonic state estimation including distributed generators
Arefi, Ali, Haghifam, Mahmood Reza, Fathi, Seyed Hamid, Niknam, Taher, & Olamaei, Javad (2009) A novel algorithm based on honey bee mating optimization for distribution harmonic state estimation including distributed generators. In Proceedings of the 2009 IEEE Bucharest PowerTech Conference, IEEE, Bucharest , pp. 1-7.
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).
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|Item Type:||Conference Paper|
|Keywords:||Distributed power generation, Distribtion networks, Genetic algorithms, Least squares approximations, Phase measurement, Power system harmonics, Power system measurement, Power system state estimation, Search problems|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2009 IEEE|
|Deposited On:||19 Mar 2014 02:04|
|Last Modified:||04 Dec 2015 02:36|
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