Robust Design Method for the SSDC of a DFIG Based on the Practical Small-Signal Stability Region Considering Multiple Uncertainties

Wind power delivery systems with series capacitive compensation installations suffer from the risk of sub-synchronous oscillation (SSO). However, uncertainties of wind farms, which have a non-negligible impact on SSO modes, may reduce the robustness of the sub-synchronous damping controller (SSDC)....

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Main Authors: Xi Wu, Wei Ning, Tianran Yin, Xiang Yang, Ziyi Tang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8283559/
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spelling doaj-ba1eef5e64624125855585bbbd9af6f62021-03-29T20:41:30ZengIEEEIEEE Access2169-35362018-01-016166961670310.1109/ACCESS.2018.28026988283559Robust Design Method for the SSDC of a DFIG Based on the Practical Small-Signal Stability Region Considering Multiple UncertaintiesXi Wu0https://orcid.org/0000-0002-4022-9059Wei Ning1Tianran Yin2Xiang Yang3Ziyi Tang4School of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaChengdu Power Supply Company of State Grid, Chengdu, ChinaSchool of Electrical Engineering, Southeast University, Nanjing, ChinaWind power delivery systems with series capacitive compensation installations suffer from the risk of sub-synchronous oscillation (SSO). However, uncertainties of wind farms, which have a non-negligible impact on SSO modes, may reduce the robustness of the sub-synchronous damping controller (SSDC). To solve this problem, we propose a robust design method for the SSDC based on the practical small-signal stability region (PSSSR). First, the PSSSR, with a boundary consisting of critical damping instead of Hopf bifurcations, is defined to ensure that every operating point in the stability region meets the damping requirements of power system operators. The impact of multiple uncertainties on SSO is studied, and the results show that the rotor speed and active and reactive power output of the doubly fed induction generator (DFIG) have a strong impact on the SSO. Furthermore, to improve the performance and robustness of the SSDC, an optimization model is constructed by assigning a maximum-security operation margin to the DFIG considering multiple uncertainties based on the PSSSR. Based on this model, a genetic algorithm is applied to obtain the optimal SSDC parameters. Finally, case studies verify that the designed SSDC exhibits high robustness under a wide range of operating conditions.https://ieeexplore.ieee.org/document/8283559/Doubly fed induction generator (DFIG)sub-synchronous oscillation (SSO)damping controller designpractical small-signal stability region
collection DOAJ
language English
format Article
sources DOAJ
author Xi Wu
Wei Ning
Tianran Yin
Xiang Yang
Ziyi Tang
spellingShingle Xi Wu
Wei Ning
Tianran Yin
Xiang Yang
Ziyi Tang
Robust Design Method for the SSDC of a DFIG Based on the Practical Small-Signal Stability Region Considering Multiple Uncertainties
IEEE Access
Doubly fed induction generator (DFIG)
sub-synchronous oscillation (SSO)
damping controller design
practical small-signal stability region
author_facet Xi Wu
Wei Ning
Tianran Yin
Xiang Yang
Ziyi Tang
author_sort Xi Wu
title Robust Design Method for the SSDC of a DFIG Based on the Practical Small-Signal Stability Region Considering Multiple Uncertainties
title_short Robust Design Method for the SSDC of a DFIG Based on the Practical Small-Signal Stability Region Considering Multiple Uncertainties
title_full Robust Design Method for the SSDC of a DFIG Based on the Practical Small-Signal Stability Region Considering Multiple Uncertainties
title_fullStr Robust Design Method for the SSDC of a DFIG Based on the Practical Small-Signal Stability Region Considering Multiple Uncertainties
title_full_unstemmed Robust Design Method for the SSDC of a DFIG Based on the Practical Small-Signal Stability Region Considering Multiple Uncertainties
title_sort robust design method for the ssdc of a dfig based on the practical small-signal stability region considering multiple uncertainties
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description Wind power delivery systems with series capacitive compensation installations suffer from the risk of sub-synchronous oscillation (SSO). However, uncertainties of wind farms, which have a non-negligible impact on SSO modes, may reduce the robustness of the sub-synchronous damping controller (SSDC). To solve this problem, we propose a robust design method for the SSDC based on the practical small-signal stability region (PSSSR). First, the PSSSR, with a boundary consisting of critical damping instead of Hopf bifurcations, is defined to ensure that every operating point in the stability region meets the damping requirements of power system operators. The impact of multiple uncertainties on SSO is studied, and the results show that the rotor speed and active and reactive power output of the doubly fed induction generator (DFIG) have a strong impact on the SSO. Furthermore, to improve the performance and robustness of the SSDC, an optimization model is constructed by assigning a maximum-security operation margin to the DFIG considering multiple uncertainties based on the PSSSR. Based on this model, a genetic algorithm is applied to obtain the optimal SSDC parameters. Finally, case studies verify that the designed SSDC exhibits high robustness under a wide range of operating conditions.
topic Doubly fed induction generator (DFIG)
sub-synchronous oscillation (SSO)
damping controller design
practical small-signal stability region
url https://ieeexplore.ieee.org/document/8283559/
work_keys_str_mv AT xiwu robustdesignmethodforthessdcofadfigbasedonthepracticalsmallsignalstabilityregionconsideringmultipleuncertainties
AT weining robustdesignmethodforthessdcofadfigbasedonthepracticalsmallsignalstabilityregionconsideringmultipleuncertainties
AT tianranyin robustdesignmethodforthessdcofadfigbasedonthepracticalsmallsignalstabilityregionconsideringmultipleuncertainties
AT xiangyang robustdesignmethodforthessdcofadfigbasedonthepracticalsmallsignalstabilityregionconsideringmultipleuncertainties
AT ziyitang robustdesignmethodforthessdcofadfigbasedonthepracticalsmallsignalstabilityregionconsideringmultipleuncertainties
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