Systematic Decoupling Grid-Forming Control for Utility-Scale Inverter-Based Distributed Energy Resources in Weak Distribution Grids | IEEE Journals & Magazine | IEEE Xplore

Systematic Decoupling Grid-Forming Control for Utility-Scale Inverter-Based Distributed Energy Resources in Weak Distribution Grids

Open Access

Abstract:

Existing grid-forming inverter control schemes for distributed energy resources (DERs) primarily rely on active power (P)-frequency (f) and reactive power (Q)-voltage (V)...Show More

Abstract:

Existing grid-forming inverter control schemes for distributed energy resources (DERs) primarily rely on active power (P)-frequency (f) and reactive power (Q)-voltage (V) droop mechanisms that are tailored for highly inductive transmission grids. However, in weak distribution grids where P and Q are highly coupled due to their resistive network characteristics, these control schemes cannot provide independent and accurate f and V regulation. This will further deteriorate the dynamic and stability performance, potentially resulting in inverter and load tripping during disturbances. To address this challenge, this paper proposes an innovative decoupling grid-forming control scheme, which is designed based on a systematic perspective that considers the inherent coupling characteristic of the entire distribution grid. The small-signal stability of the proposed controller is analyzed by varying controller parameters and the grid strength. The effectiveness of this controller is comprehensively verified using both MATLAB and OPAL-RT platforms by comparing it with existing grid-forming control strategies. The results show that the proposed controller can effectively decouple P and Q regulation in weak distribution grids. It enables DERs to provide independent, accurate, and autonomous f and V regulation, thus improving grid stability and dynamics. The proposed control strategy is cost-effective, communication-free, and can be easily commercialized due to its straightforward and robust circuit design.
Page(s): 27 - 39
Date of Publication: 31 January 2024
Electronic ISSN: 2687-7910
Author image of Lina He
Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA
Lina He (Senior Member, IEEE) received the B.S. and M.S. degrees from the Huazhong University of Science and Technology, China, in 2007 and 2009, respectively, and the Ph.D. degree in electrical engineering from University College Dublin, Ireland, in 2014. From 2014 to 2017, she was the Project Manager and a Senior Consultant at Siemens Headquarters, Germany, and Siemens, USA. She is currently an Assistant Professor with ...Show More
Lina He (Senior Member, IEEE) received the B.S. and M.S. degrees from the Huazhong University of Science and Technology, China, in 2007 and 2009, respectively, and the Ph.D. degree in electrical engineering from University College Dublin, Ireland, in 2014. From 2014 to 2017, she was the Project Manager and a Senior Consultant at Siemens Headquarters, Germany, and Siemens, USA. She is currently an Assistant Professor with ...View more
Author image of Shiwen Yu
Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA
Shiwen Yu (Graduate Student Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from the Wuhan University of Technology, in 2017 and 2020, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with the University of Illinois at Chicago, Chicago, IL, USA. His research interests include grid-forming control, power systems stability, and machine learning.
Shiwen Yu (Graduate Student Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from the Wuhan University of Technology, in 2017 and 2020, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with the University of Illinois at Chicago, Chicago, IL, USA. His research interests include grid-forming control, power systems stability, and machine learning.View more

Author image of Lina He
Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA
Lina He (Senior Member, IEEE) received the B.S. and M.S. degrees from the Huazhong University of Science and Technology, China, in 2007 and 2009, respectively, and the Ph.D. degree in electrical engineering from University College Dublin, Ireland, in 2014. From 2014 to 2017, she was the Project Manager and a Senior Consultant at Siemens Headquarters, Germany, and Siemens, USA. She is currently an Assistant Professor with the Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA. Her research interests include modeling, control, and protection of power electronics-based power systems, renewable energy integration, HVdc control and operation, and wide-area protection and cybersecurity.
Lina He (Senior Member, IEEE) received the B.S. and M.S. degrees from the Huazhong University of Science and Technology, China, in 2007 and 2009, respectively, and the Ph.D. degree in electrical engineering from University College Dublin, Ireland, in 2014. From 2014 to 2017, she was the Project Manager and a Senior Consultant at Siemens Headquarters, Germany, and Siemens, USA. She is currently an Assistant Professor with the Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA. Her research interests include modeling, control, and protection of power electronics-based power systems, renewable energy integration, HVdc control and operation, and wide-area protection and cybersecurity.View more
Author image of Shiwen Yu
Department of Electrical and Computer Engineering, University of Illinois at Chicago, Chicago, IL, USA
Shiwen Yu (Graduate Student Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from the Wuhan University of Technology, in 2017 and 2020, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with the University of Illinois at Chicago, Chicago, IL, USA. His research interests include grid-forming control, power systems stability, and machine learning.
Shiwen Yu (Graduate Student Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from the Wuhan University of Technology, in 2017 and 2020, respectively. He is currently pursuing the Ph.D. degree in electrical engineering with the University of Illinois at Chicago, Chicago, IL, USA. His research interests include grid-forming control, power systems stability, and machine learning.View more

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