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Controller Sensitivity-Based Shaping Method for Grid Forming Inverter
Aalborg University, Department of Energy Technology, Aalborg, Denmark.
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Software and Computer systems, SCS.ORCID iD: 0000-0002-2022-1690
Aalborg University, Department of Energy Technology, Aalborg, Denmark.
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electric Power and Energy Systems.ORCID iD: 0000-0002-6327-9729
2023 (English)In: 2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Institute of Electrical and Electronics Engineers (IEEE) , 2023, p. 6273-6278Conference paper, Published paper (Refereed)
Abstract [en]

Parameter-based damping ratio sensitivity (DRS) is usually used for designing multi-loop complex control systems in grid-forming (GFM) inverters. However, it is found that this method will be affected not only by the interactions among parameters in a controller, but also by the change of the parameter itself, which makes the parameter design based on the parameter-based DRS unreliable. To address these issues, each controller is considered as a whole, which avoids the interactions among controller parameters in a controller. Then, the controller-based determinant sensitivity (DS) that calculates the sensitivity of each controller to system stability is proposed for designing the control system, which will not be affected by interactions among parameters since the sensitivity is calculated at the controller level. Then, combined with the proposed solution, a controller shaping method is also presented, which can improve system stability by shaping the controller. Finally, the effectiveness of the proposed scheme is validated through experimental results.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2023. p. 6273-6278
Keywords [en]
controller sensitivity analysis, controller shaping, Grid-forming inverter
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-342809DOI: 10.1109/ECCE53617.2023.10362389Scopus ID: 2-s2.0-85182941019OAI: oai:DiVA.org:kth-342809DiVA, id: diva2:1833332
Conference
2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023, Nashville, United States of America, Oct 29 2023 - Nov 2 2023
Note

Part of ISBN 9798350316445

QC 20240201

Available from: 2024-01-31 Created: 2024-01-31 Last updated: 2024-02-01Bibliographically approved

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Zhou, ZhichaoWang, Xiongfei

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