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Information Journal Paper

Title

DISTRIBUTION STATE ESTIMATION BASED ON PARTICLE SWARM AND DOUBLY LOOP MUTANT OPTIMIZATION (DLM-PSO)

Pages

  41-52

Abstract

 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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    Cite

    APA: Copy

    AREFI, ALI, HAGHIFAM, MAHMOUD 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), 41-52. SID. https://sid.ir/paper/115761/en

    Vancouver: Copy

    AREFI ALI, HAGHIFAM MAHMOUD REZA, FATHI SEYED HAMID. DISTRIBUTION STATE ESTIMATION BASED ON PARTICLE SWARM AND DOUBLY LOOP MUTANT OPTIMIZATION (DLM-PSO). JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS[Internet]. 2012;9(1):41-52. Available from: https://sid.ir/paper/115761/en

    IEEE: Copy

    ALI AREFI, MAHMOUD REZA HAGHIFAM, and SEYED HAMID FATHI, “DISTRIBUTION STATE ESTIMATION BASED ON PARTICLE SWARM AND DOUBLY LOOP MUTANT OPTIMIZATION (DLM-PSO),” JOURNAL OF IRANIAN ASSOCIATION OF ELECTRICAL AND ELECTRONICS ENGINEERS, vol. 9, no. 1, pp. 41–52, 2012, [Online]. Available: https://sid.ir/paper/115761/en

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