Soft Computing

, Volume 23, Issue 23, pp 12911–12927 | Cite as

An innovative OANF–IPFC based on MOGWO to enhance participation of DFIG-based wind turbine in interconnected reconstructed power system

An innovative OANF–IPFC based on MOGWO to enhance participation of DFIG-based wind turbine
  • Ali Darvish FalehiEmail author
Methodologies and Application


Despite the affordability and popularity of doubly fed induction generator (DFIG) among the variable-speed wind turbines, it cannot follow the inertia response caused by the load perturbations and the imposed frequency fluctuations in the power system. Considering the growing participation of wind power generation, DFIG with no virtual inertia control cannot play a functional role in the frequency stability of traditional power systems. At the outset, a new inertia control strategy is proposed for DFIG to participate in system frequency control via absorption or disposal of kinetic energy based on active power control. Then after that, interline power flow controller (IPFC) known as an adaptable and complex compensator is introduced to simultaneously regulate and control the power flow of multiple lines during the large penetration of DFIGs. To enhance the damping capability of IPFC, this paper has suggested a novel optimal adaptive neuro-fuzzy (OANF). The frequency and tie-line power deviations as two prominent stability benchmarks have been considered and analysed to appraise the damping capability of the suggested controller in the affected interconnected power system. The dynamic stability problem has been formulated based on multi-objective grey wolf optimizer to optimally tune OANF-based IPFC towards simultaneous suppression of the abovementioned benchmarks. The accurate fuzzy membership functions and rules of OANF-based IPFC have been extracted during the severe perturbation in two interconnected reconstructed power systems. Eventually, the simulation results extracted from both the three-area and five-area interconnected power systems have primarily validated the inertia control-based DFIG and subsidiarily OANF–IPFC to effectively suppress the low-frequency oscillations.


DFIG OANF-based IPFC MOGWO Dynamic stability Inertia control strategy 


Compliance with ethical standards

Conflict of interest

The author declares that he has no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Informed consent

Informed consent was obtained from all individual participants included in the study.


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electrical EngineeringShadegan Branch, Islamic Azad UniversityShadeganIran

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