Distribution state estimation based on particle swarm and doubly loop mutant optimization (DLM-PSO)
Arefi, Ali, Haghifam, Mahmood Reza, & Fathi, Seyed Hamid (2012) Distribution state estimation based on particle swarm and doubly loop mutant optimization (DLM-PSO). Journal of Iranian Association of Electrical and Electronics Engineers, 9(1), pp. 41-52.
This paper presents a novel algorithm based on particle swarm optimization (PSO) to estimate the states of electric distribution networks. In order to improve the performance, accuracy, convergence speed, and eliminate the stagnation effect of original PSO, a secondary PSO loop and mutation algorithm as well as stretching function is proposed. For accounting uncertainties of loads in distribution networks, pseudo-measurements is modeled as loads with the realistic errors. Simulation results on 6-bus radial and 34-bus IEEE test distribution networks show that the distribution state estimation based on proposed DLM-PSO presents lower estimation error and standard deviation in comparison with algorithms such as WLS, GA, HBMO, and original PSO.
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|Item Type:||Journal Article|
|Additional Information:||Full paper (in Persian) available online http://www.jiaeee.org/admins/_upd_maghalat_share/_pdf_1343639284_2012_07_30_Paper5.pdf|
|Keywords:||Distribution networks, State estimation, POS algorithm, Mutation, Stretching function|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 Scientific Information Database (SID)|
|Deposited On:||24 Mar 2014 00:28|
|Last Modified:||04 Dec 2015 02:31|
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