Control of low-frequency oscillations in grid-connected power system for wind-PV-thermal-electricity energy system

In this paper, a new swarm intelligent optimization algorithm named DTHA is proposed for the low-frequency oscillation (LFO) problem generated in the wind-PV-electricity (WPTE) energy system. According to this algorithm, the coordinated optimization control of the power system stabilizer (PSS), power oscillation damping (POD) controller, and thyristor controlled series capacitor (TCSC) parameters are carried out. In this paper, the effectiveness and robustness of the method are verified using the IEEE four-machine two-zone system as an example. The results show that the technique can effectively keep the generator speed stable, suppress the system’s active and voltage fluctuations caused by LFO, and improve the small disturbance characteristics of the system.

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Publication Details

Published
2025-05-17
DOI
https://doi.org/10.1109/yac66630.2025.11150252
Primary Topic
Bacterial Genetics and Biotechnology
Type
article
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article

Control of low-frequency oscillations in grid-connected power system for wind-PV-thermal-electricity energy system

Bacterial Genetics and Biotechnology
article

Control of low-frequency oscillations in grid-connected power system for wind-PV-thermal-electricity energy system

article en

Abstract

In this paper, a new swarm intelligent optimization algorithm named DTHA is proposed for the low-frequency oscillation (LFO) problem generated in the wind-PV-electricity (WPTE) energy system. According to this algorithm, the coordinated optimization control of the power system stabilizer (PSS), power oscillation damping (POD) controller, and thyristor controlled series capacitor (TCSC) parameters are carried out. In this paper, the effectiveness and robustness of the method are verified using the IEEE four-machine two-zone system as an example. The results show that the technique can effectively keep the generator speed stable, suppress the system’s active and voltage fluctuations caused by LFO, and improve the small disturbance characteristics of the system.

Zhengzhou University of Light Industry (CN)
Affordable and clean energy
Openalex Percentile: Top 37%
Bacterial Genetics and Biotechnology
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