论文信息 - Identification of Dynamic Load Model Parameters Using Particle Swarm Optimization

Identification of Dynamic Load Model Parameters Using Particle Swarm Optimization

This paper presents a method for estimating the parameters of dynamic models for induction motor dominating loads. Using particle swarm optimization, the method finds the adequate set of parameters that best fit the sampling data from the measurement for a period of time, minimizing the error of the outputs, active and reactive power demands and satisfying the steady-state error criterion.

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