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Parameter identification for equivalent circuit of relaxation response based on interval-active particle swarm optimization algorithm
Pages: 78-83,97
Year: Issue:  11
Journal: Electric Machines and Control

Keyword:  equivalent circuit modelparameter identificationinterval-active particle swarm optimization algorithmdielectric response function;
Abstract: Aiming at traditional method of parameter identification for relaxation response equivalent cir-cuit, which can not eliminate fluctuations of charging voltage and measurement error, combined with de-polarizing current data, the interval-adaptive particle swarm optimization( I-APSO) was introduced to i-dentify the parameters of oil-paper insulation. The algorithm not only reduces the actual error making the result more precise, but also locates the optimal solution areas of the parameters effectively. The radical exponential decay law was used to improved dielectric response function considering that the existing one can not reflect the medium depolarization process accurately. The result shows that depolarizing current curve by I-APSO and improved dielectric response model can be matched better with test curve compared with conventional method, which reflects the dielectric process of oil-paper insulation system more truly and effectively.
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