LAPSE:2023.27783
Published Article
LAPSE:2023.27783
Adaptive Control of HVDC Links for Frequency Stability Enhancement in Low-Inertia Systems
April 11, 2023
Abstract
Decarbonization of power systems has put Renewable Energy Sources (RES) at the forefront when it comes to electric power generation. The increasing shares of converter-connected renewable generation cause a decrease of the rotational inertia of the Electric Power System (EPS), and consequently deteriorate the system capability to withstand large load-generation imbalances. Low-inertia systems are subjected to fast and large frequency changes in case of in-feed loss, where the traditional primary frequency control is not sufficient to preserve the frequency stability and to maintain the frequency above the critical value. One possible solution to this rising problem is seen in Fast Frequency Response (FFR) provided by the High-Voltage Direct-Current (HVDC)-based systems. This paper presents the adaptive FFR control of HVDC-based systems for frequency stability enhancement in the low-inertia system. The EPS is considered as a “black box” and the HVDC response is determined only using the locally measured frequency change. Sliding Mode Control (SMC) of the Modular Multilevel Converter (MMC) was developed and demonstrated to provide faster and more appropriate frequency response compared to the PI controller. The described adaptive HVDC control considers the size of disturbance and the inertia of the power system, and it is verified by simulations on the IEEE 39 bus test system implemented in MATLAB/Simulink for different system configurations and different sizes of disturbance.
Keywords
frequency control, HVDC-based power system, low-inertia power systems, modular multilevel converter
Suggested Citation
Stojković J, Lekić A, Stefanov P. Adaptive Control of HVDC Links for Frequency Stability Enhancement in Low-Inertia Systems. (2023). LAPSE:2023.27783
Author Affiliations
Stojković J: School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia [ORCID]
Lekić A: Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, 2629 Delft, The Netherlands [ORCID]
Stefanov P: School of Electrical Engineering, University of Belgrade, 11000 Belgrade, Serbia
Journal Name
Energies
Volume
13
Issue
23
Article Number
E6162
Year
2020
Publication Date
2020-11-24
ISSN
1996-1073
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Original Submission
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PII: en13236162, Publication Type: Journal Article
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LAPSE:2023.27783
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https://doi.org/10.3390/en13236162
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