Imperial College London
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ProfessorBikashPal

Faculty of Engineering, Department of Electrical and Electronic Engineering

Professor of Power Systems
 
 
 
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Contact

 

+44 (0)20 7594 6172b.pal Website CV

 
 
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Assistant

 

Miss Guler Eroglu +44 (0)20 7594 6170

 
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Location

 

1104Electrical EngineeringSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Guo:2022:10.1109/tpwrs.2021.3133715,
author = {Guo, Y and Pal, BC and Jabr, RA and Geng, H},
doi = {10.1109/tpwrs.2021.3133715},
journal = {IEEE Transactions on Power Systems},
pages = {3947--3957},
title = {Global optimality of inverter dynamic voltage support},
url = {http://dx.doi.org/10.1109/tpwrs.2021.3133715},
volume = {37},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - This paper investigates the dynamic voltage support (DVS) of inverter-based resources (IBRs) under voltage sags to enhance the low-voltage ride-through performance. The DVS problem is formulated as a nonconvex optimization program that maximizes the positive-sequence voltage magnitude at the point of common coupling (PCC) subject to the current, active power, and synchronization stability constraints. Then, we perform the optimality analysis to explore the global optimum analytically. It is found that the unique global optimum has three scenarios/stages (S1S3), which depends on the specific relationship among grid voltage, grid strength, and physical limits of IBRs. The explicit closed-form solutions in S1 and S3 are derived, and the optimality conditions (an implicit solution) of S2 are provided, which guarantees the global optimality and enables the compatibility with fast real-time control. Finally, we implement the optimum with a grid-connected single-stage photovoltaic (PV) power plant by integrating a DVS controller. Dynamic simulations are carried out under different scenarios to test our proposal. The robustness against model errors is also discussed. Dynamic simulations are carried out under different scenarios to test our proposal and compare it with other existing methods.
AU  - Guo,Y
AU  - Pal,BC
AU  - Jabr,RA
AU  - Geng,H
DO  - 10.1109/tpwrs.2021.3133715
EP  - 3957
PY  - 2022///
SN  - 0885-8950
SP  - 3947
TI  - Global optimality of inverter dynamic voltage support
T2  - IEEE Transactions on Power Systems
UR  - http://dx.doi.org/10.1109/tpwrs.2021.3133715
UR  - https://ieeexplore.ieee.org/document/9645344
UR  - http://hdl.handle.net/10044/1/93759
VL  - 37
ER  -
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