Optimal tuning of PI controller using PSO optimization for indirect power control for DFIG based wind turbine with MPPT
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Date
2014-09
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Publisher
Springer India
Abstract
In this paper, an artificial intelligence method
particle swarm optimization (PSO) algorithm is presented
for determining the optimal PI controller parameters for the
indirect control active and reactive power of doubly fed
induction generator (DFIG) to ensure a maximum power
point tracking of a wind energy conversion system. A
digital simulation is used in conjunction with the PSO
algorithm to determine the optimum parameters of the PI
controller. Integral time absolute error, integral absolute
error and integral square error performance indices are
considered to satisfy the required criteria in output active
and reactive power of a DFIG. From the simulation results
it is observed that the PI controller designed with PSO
yields better results when compared to the traditional
method in terms of performance index
Description
Article
Keywords
Doubly fed induction generator Wind turbine Field oriented control PI (proportional integral) Particle swarm optimization (PSO) Maximum power point tracking (MPPT)
Citation
Bekakra, Y., & Attous, D. B. (2013). Optimal tuning of PI controller using PSO optimization for indirect power control for DFIG based wind turbine with MPPT. International Journal of System Assurance Engineering and Management, 5(3), 219–229. doi:10.1007/s13198-013-0150-0