LAPSE:2023.27699
Published Article

LAPSE:2023.27699
Voltage Modulated DPC Strategy of DFIG Using Extended Power Theory under Unbalanced Grid Voltage Conditions
April 4, 2023
Abstract
This paper develops a voltage modulated direct power control (VM-DPC) strategy of a doubly fed induction generator (DFIG) using extended power theory under unbalanced grid voltage conditions. By introducing the modulated voltage of the active and reactive powers and the non-linear VM controller, the proposed VM-DPC strategy enables the generator dynamics to change from the time-varying differential equations into the time-invariant ones. Then, in order to deal with the voltage unbalance, three available power feedbacks, a combination of real active power and extended reactive power, a combination of extended active power and real reactive power, a combination of extended active power and extended reactive power, are developed. Together with a conventional controller (PI + R and feedforwards) and a non-linear VM controller, the power feedbacks are well controlled to track their references with the achievement of the constant active power, the constant reactive power and the balanced stator current. The main advantage of the VM-DPC strategy is the introduction of the modulated voltage and the non-linear VM controller making the generator dynamics time-invariant, which is easy for applying various control methods. Furthermore, the application of extended power can avoid the sequence extractions and the power compensations under unbalanced grid voltage. Finally, the simulation results demonstrate the effectiveness of the developed VM-DPC strategy.
This paper develops a voltage modulated direct power control (VM-DPC) strategy of a doubly fed induction generator (DFIG) using extended power theory under unbalanced grid voltage conditions. By introducing the modulated voltage of the active and reactive powers and the non-linear VM controller, the proposed VM-DPC strategy enables the generator dynamics to change from the time-varying differential equations into the time-invariant ones. Then, in order to deal with the voltage unbalance, three available power feedbacks, a combination of real active power and extended reactive power, a combination of extended active power and real reactive power, a combination of extended active power and extended reactive power, are developed. Together with a conventional controller (PI + R and feedforwards) and a non-linear VM controller, the power feedbacks are well controlled to track their references with the achievement of the constant active power, the constant reactive power and the balanced stator current. The main advantage of the VM-DPC strategy is the introduction of the modulated voltage and the non-linear VM controller making the generator dynamics time-invariant, which is easy for applying various control methods. Furthermore, the application of extended power can avoid the sequence extractions and the power compensations under unbalanced grid voltage. Finally, the simulation results demonstrate the effectiveness of the developed VM-DPC strategy.
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Keywords
direct power control, doubly fed induction generator, extended power theory, unbalanced grid voltage, voltage modulated
Subject
Suggested Citation
Cheng P, Wu C, Ning F, He J. Voltage Modulated DPC Strategy of DFIG Using Extended Power Theory under Unbalanced Grid Voltage Conditions. (2023). LAPSE:2023.27699
Author Affiliations
Cheng P: China Institute of Energy and Transportation Integrated Development, North China Electric Power University, Beijing 102206, China [ORCID]
Wu C: Department of Energy Technology, Aalborg University, DK 9220 Aalborg, Denmark [ORCID]
Ning F: China Institute of Energy and Transportation Integrated Development, North China Electric Power University, Beijing 102206, China
He J: State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, China
Wu C: Department of Energy Technology, Aalborg University, DK 9220 Aalborg, Denmark [ORCID]
Ning F: China Institute of Energy and Transportation Integrated Development, North China Electric Power University, Beijing 102206, China
He J: State Key Laboratory of Operation and Control of Renewable Energy & Storage Systems, China Electric Power Research Institute, Beijing 100192, China
Journal Name
Energies
Volume
13
Issue
22
Article Number
E6077
Year
2020
Publication Date
2020-11-20
ISSN
1996-1073
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Original Submission
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PII: en13226077, Publication Type: Journal Article
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LAPSE:2023.27699
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https://doi.org/10.3390/en13226077
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