Active and Reactive Power Control of DFIG using Optimized Fractional Order-PI Controller

Javed, Umar; Arshad, Muhammad Usman; Jawad, Muhammad; Shabbir, Noman; Kütt, Lauri; Rassõlkin, Anton

doi:10.1109/pemc48073.2021.9432608

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Optimization Procedures For the Two Regulators1

Mechanical Power Of the Turbine1

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2022

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Cited by 3 publications

(2 citation statements)

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“…The procedure for optimizing regulator parameters summarized by using the following steps [22]: • An initial offspring was born randomly.…”

Section: Optimization Procedures For the Two Regulatorsmentioning

confidence: 99%

Optimization Using a Genetic Algorithm Based on DFIG Power Supply for the Electrical Grid

2022

IJE

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“…The procedure for optimizing regulator parameters summarized by using the following steps [22]: • An initial offspring was born randomly.…”

Section: Optimization Procedures For the Two Regulatorsmentioning

confidence: 99%

Optimization Using a Genetic Algorithm Based on DFIG Power Supply for the Electrical Grid

2022

IJE

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“…The power coefficient 𝐶 𝑝 of the wind turbine is a function of 𝜆 for both the tip-speed ratio (TSR) and 𝛽 blade pitch angle given by this mathematical approximation [7]:…”

Section: Mechanical Power Of the Turbinementioning

confidence: 99%

Archives of Electrical Engineering

2022

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The paper proposes a new robust fuzzy gain adaptation of the sliding mode (SMC) power control strategy for the wind energy conversion system (WECS), based on a doubly fed induction generator (DFIG), to maximize the power extracted from the wind turbine (WT). The sliding mode controller can deal with any wind speed, ingrained nonlinearities in the system, external disturbances and model uncertainties, yet the chattering phenomenon that characterizes classical SMC can be destructive. This problem is suitably lessened by adopting adaptive fuzzy-SMC. For this proposed approach, the adaptive switching gains are adjusted by a supervisory fuzzy logic system, so the chattering impact is avoided. Moreover, the vector control of the DFIG as well as the presented one have been used to achieve the control of reactive and active power of the WECS to make the wind turbine adaptable to diverse constraints. Several numerical simulations are performed to assess the performance

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Performance Enhancement of Interfacing Controllers for Grid Connected Wind Turbine

Bahgat

Ezzat

Attia

2022

2022 23rd International Middle East Power Systems Conference (MEPCON)

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Active and Reactive Power Control of DFIG using Optimized Fractional Order-PI Controller

Cited by 3 publications

References 19 publications

Optimization Using a Genetic Algorithm Based on DFIG Power Supply for the Electrical Grid

Optimization Using a Genetic Algorithm Based on DFIG Power Supply for the Electrical Grid

Archives of Electrical Engineering

Performance Enhancement of Interfacing Controllers for Grid Connected Wind Turbine

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