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- W2382886937 abstract "This paper proposes an adaptive immune particle swarm optimization algorithm for a practical distribution state estimation taking into account the nonlinear characteristics in the distribution such as distributing generator and measurement configuration and combining with PSO’s characteristic. The proposed method make use of particle swarm optimization with transacting mechanism of immune information in immune system and an adaptive factor with an ability of adjusting momentum coefficient automatically, solves the nonlinear characteristics of the distribution, conquers the disadvantage that in the original particle swarm optimization the solution is often the best in the local area, and not only expands the ability of searching in the full area, but also get good convergent speed and convergent precision. The applicability of the proposed method is demonstrated though the distribution model and compared with an original particle swarm optimization it shows its superiority." @default.
- W2382886937 created "2016-06-24" @default.
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- W2382886937 date "2008-01-01" @default.
- W2382886937 modified "2023-09-27" @default.
- W2382886937 title "State Estimation Based on Optimization Algorithm of Adaptive Immune Particle Swarm for Distribution System" @default.
- W2382886937 hasPublicationYear "2008" @default.
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