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- W1998268340 abstract "Load modeling has become a critical problem that is urgent to be solved in power system modeling. In this paper, CQDPSO algorithm, a hybrid optimization algorithm that combines quantum delta-potential-well-based particle swarm optimization (QDPSO) algorithm and chaotic optimization algorithm (COA), is proposed to identify parameters of the selected load model. Numerical results illustrate that the proposed method can improve the accuracy and reduce the computation complexity for load model parameter identifications." @default.
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- W1998268340 date "2014-07-01" @default.
- W1998268340 modified "2023-09-27" @default.
- W1998268340 title "Parameter Identification of Load Models Using the CQDPSO Algorithm" @default.
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- W1998268340 doi "https://doi.org/10.4028/www.scientific.net/amr.986-987.1375" @default.
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