Application of honey-bee mating optimization on state estimation of a power distribution system including distributed generators |
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| Authors: | Taher Niknam |
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| Institution: | Electronic and Electrical Department, Shiraz University of Technology, Shiraz, Iran |
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| Abstract: | We present a new approach based on honey-bee mating optimization to estimate the state variables in distribution networks including distributed generators. The proposed method considers practical models of electrical equipments such as smilc var compensators,voltage regulators,and under-load tap changer transformers,which have usually nonlinear and discrete characteristics. The feasibility of the proposed approach is demonstrated by comparison with the methods based on neural networks,ant colony optimization,and genetic algorithms for two test systems,a network with 34-bus radial test feeders and a realistic 80-bus 20 kV network. |
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| Keywords: | Distributed generators (DGs) State estimation Honey-bee mating optimization (HBMO) |
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