Impact of Fixed/Variable Speed Hydro, Wind, and Photovoltaic on Sub-Synchronous Torsional Oscillation—A Review

Mohale, Vijay; Chelliah, Thanga Raj

doi:10.3390/su15010113

Cited by 3 publications

(4 citation statements)

References 181 publications

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“…Disturbance 1 is caused by the error phase, and disturbance 2 is caused by current disturbances. Additionally, the coupling of the error phase and current disturbances produces disturbance 3 . Furthermore, three colored arrows indicate that the combined influence of the error phase and current disturbances (which can be seen as the combined influence of all three disturbances) makes the GSC output power oscillation.…”

Section: Analysis Of Multiple Disturbance Factors Of Grid Sso In Gscmentioning

confidence: 99%

“…In addition, the term containing θ error in Formula ( 13) is disturbance 3 . According to Formula (3), the expression of power on the grid side under the influence of PLL is…”

Section: Analysis Of the Impact Of Grid Sso On The Gsc Considering Th...mentioning

confidence: 99%

“…In recent years, with the determination of the "double carbon" target, new energy systems represented by wind power have developed rapidly [1][2][3]. The doubly-fed induction generator (DFIG) is the main body of the wind turbine and has the advantages of low cost, variable frequency, and constant speed control [4].…”

Section: Introductionmentioning

confidence: 99%

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Mechanism Analysis of Multiple Disturbance Factors and Study of Suppression Strategies of DFIG Grid-Side Converters Caused by Sub-Synchronous Oscillation

et al. 2023

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With the increasing utilization of electronic equipment in the power system, sub-synchronous oscillation (SSO) has occurred many times and caused off-grid accidents because of power oscillation. SSO has become one of the main problems that restrict the development of new energy. In this paper, power oscillation in grid-side converters (GSCs) in doubly-fed induction generators (DFIGs) under SSO is studied. Firstly, the influence mechanism of SSO on GSC multipath disturbance is studied. Secondly, the problem of coupling oscillation caused by PLL output errors after coordinate transformation is studied, and the mathematical model of GSC output power considering SSO multipath disturbance is established. By analyzing the oscillation suppression ability of the quasi-resonant controller under variable SSO states, the key influencing factors of SSO for GSC power oscillation suppression strategies are determined. Furthermore, based on the above theoretical analysis and research, an improved PLL is designed to eliminate the influence of its output errors on the disturbance of GSC. At the same time, a DFIG-GSC power oscillation suppression strategy using an adaptive quasi-resonant controller is designed to eliminate the influence of SSO on the multi-path disturbance of GSC. Finally, the effectiveness of the proposed suppression strategy is verified using simulation and experimental results.

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Section: Analysis Of Multiple Disturbance Factors Of Grid Sso In Gscmentioning

confidence: 99%

“…In addition, the term containing θ error in Formula ( 13) is disturbance 3 . According to Formula (3), the expression of power on the grid side under the influence of PLL is…”

Section: Analysis Of the Impact Of Grid Sso On The Gsc Considering Th...mentioning

confidence: 99%

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Mechanism Analysis of Multiple Disturbance Factors and Study of Suppression Strategies of DFIG Grid-Side Converters Caused by Sub-Synchronous Oscillation

et al. 2023

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“…Still, due to their limited reserves, they are prone to serious environmental pollution during use and cannot meet the current world's demand for sustainable energy development (Liu S. et al, 2022;Zishan et al, 2023). Distributed power generation technology has emerged as an important way to alleviate energy shortages and environmental pollution issues (Ai et al, 2022;Mohale and Chelliah, 2022). Wind power generation, because of its pros of green, lowcarbon, and sustainable development, has become a more promising energy generation method (Zhu et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Wind power output prediction: a comparative study of extreme learning machine

Wang,

Niu

2023

Front. Energy Res.

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This study aims to propose a wind power prediction method that achieves high accuracy in order to minimize the impact of wind power on the power system and reduce scheduling difficulties in systems incorporating wind power. The importance of developing renewable energy has been recognized by society due to the increasing severity of the energy crisis. Wind energy offers advantages such as efficiency, cleanliness, and ease of development. However, the random nature of wind energy poses challenges to power systems and complicates the scheduling process. Therefore, accurate wind power prediction is of utmost importance. A wind power prediction model was constructed based on an improved tunicate swarm algorithm–extreme learning machine (ITSA-ELM). The improved tunicate swarm algorithm (ITSA) optimizes the random parameters of extreme learning machine (ELM), resulting in the best prediction performance. ITSA is an enhancement of the tunicate swarm algorithm (TSA), which introduces a reverse learning mechanism, a non-linear self-learning factor, and a Cauchy mutation strategy to address the drawbacks of poor convergence and susceptibility to local optima in TSA. Two different scenarios were used to verify the effectiveness of ITSA-ELM. The results showed that ITSA-ELM has a decrease of 1.20% and 21.67% in MAPE, compared with TSA-ELM, in May and December, respectively. This study has significant implications for promoting the development of renewable energy and reducing scheduling difficulties in power systems.

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Sub-Synchronous Oscillation Mitigation for Series-Compensated DFIG-Based Wind Farm Using Resonant Controller

Touti,

Abdeen,

El-Dabah

et al. 2024

IEEE Access

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Impact of Fixed/Variable Speed Hydro, Wind, and Photovoltaic on Sub-Synchronous Torsional Oscillation—A Review

Cited by 3 publications

References 181 publications

Mechanism Analysis of Multiple Disturbance Factors and Study of Suppression Strategies of DFIG Grid-Side Converters Caused by Sub-Synchronous Oscillation

Mechanism Analysis of Multiple Disturbance Factors and Study of Suppression Strategies of DFIG Grid-Side Converters Caused by Sub-Synchronous Oscillation

Wind power output prediction: a comparative study of extreme learning machine

Sub-Synchronous Oscillation Mitigation for Series-Compensated DFIG-Based Wind Farm Using Resonant Controller

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