An active damping control method for direct-drive wind farm with flexible DC transmission system based on the remodeling of dynamic energy branches

Ma, Jing; Yang, Zhenmiao; Du, Wangyang; Shen, Yaqi; Cheng, Po-Tai

doi:10.1016/j.ijepes.2022.108004

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…ADRC does not depend on an accurate model of the system and estimates the disturbance in real-time, making it adaptable to various operating conditions and highly robust [29,30]. The control diagram, as shown in Figure 17, includes four parts: tracking differentiator, extended state observer, nonlinear state error feedback, and control signal generation loop.…”

Section: Active Disturbance Rejection Control Theorymentioning

confidence: 99%

A Sub-Synchronous Oscillation Suppression Strategy Based on Active Disturbance Rejection Control for Renewable Energy Integration System via MMC-HVDC

et al. 2023

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To realize the consumption of renewable energy such as wind power and photovoltaics in the power system, renewable energy integration system via modular multilevel converter (MMC)-based high voltage direct current (MMC-HVDC) has been widely applied. However, with the large-scale grid connection of renewable energy units, sub-synchronous oscillation (SSO) is prone to occur. Aiming at the problem, this paper proposes an SSO suppression strategy for renewable energy integration system via MMC-HVDC based on active disturbance rejection control (ADRC) theory. Using the direct drive permanent magnet synchronous generators (PMSG)-based wind farm integration system via MMC-HVDC as an example, firstly the topology and control system principles of the system are described, and a simulation model is built in PSCAD/EMTDC. Moreover, the SSO mechanism of the system is revealed by Nyquist stability criterion, and the major factors affecting the SSO of the system are simulated and analyzed. Subsequently, an additional sub-synchronous damping controller (ASSDC) is proposed based on ADRC theory. Compared to traditional additional damping controllers, the proposed controller considers disturbances of the system during the designing process and has stronger robustness. In addition, when faults happen, the speed of the system with ASSDC reaching a steady-state operating point rises by 33.7% as compared to the system without ASSDC. Finally, the effectiveness of the proposed suppression strategy is verified through simulation analysis.

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Section: Active Disturbance Rejection Control Theorymentioning

confidence: 99%

A Sub-Synchronous Oscillation Suppression Strategy Based on Active Disturbance Rejection Control for Renewable Energy Integration System via MMC-HVDC

et al. 2023

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“…At present, there are three main transmission methods in the power system: high-voltage direct current (HVDC), high-voltage alternating current (HVAC), and low-frequency alternating current (LFAC) transmissions (Reed et al, 2013;Zhang et al, 2013;Yao et al, 2015;Meng et al, 2021). Among them, the application of HVDC technology has not only effectively improved the quality of power resource transmission to meet the requirements of people's daily life but also further optimized the operation performance of the power grid system (Li, 2010;Ma et al, 2022). In order to accelerate the transformation of the development mode of electric power and enhance the ability of the grid to optimize the allocation of resources on a large scale, the State Grid Corporation has proposed the strategic goal of building a strong smart grid with an ultra-high vacuum grid as the backbone.…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis of the HVDC system based on the CatBoost algorithm using knowledge graphs

Li²,

Chen³

et al. 2023

Front. Energy Res.

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In order to overcome the difficulty of fault diagnosis in the high-voltage direct current (HVDC) transmission system, a fault diagnosis method based on the categorical boosting (CatBoost) algorithm is proposed in this work. To make the research conform to the actual situation, three kinds of measured fault data in the HVDC system of the Southern Power Grid are selected as the original data set. First, the core role and significance of fault diagnosis in knowledge graphs (KGs) are given, and the characteristics and specific causes of the four fault types are explained in detail. Second, the fault dates are preprocessed and divided into the training data set and the test data set, and the CatBoost algorithm is employed to train and test fault data to realize fault diagnosis. Finally, to verify the progressiveness and effectiveness of the proposed method, the diagnostic results obtained by CatBoost are compared with those obtained by the BP neural network algorithm. The results show that the diagnostic accuracy of the CatBoost algorithm in the three test sets is always higher than that of the BP neural network algorithm; the accuracy rates in the three case studies of the CatBoost algorithm are 94.74%, 100.00%, and 98.21%, respectively, which fully proves that the CatBoost algorithm has a very good fault diagnosis effect on the HVDC system.

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Analysis of medium-frequency oscillation based on bifurcation theory and joint modelling of SVG and direct-drive wind turbine

Chen,

Chang,

Hao

et al. 2024

International Journal of Electrical Power & Energy Systems

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An active damping control method for direct-drive wind farm with flexible DC transmission system based on the remodeling of dynamic energy branches

Cited by 5 publications

References 14 publications

A Sub-Synchronous Oscillation Suppression Strategy Based on Active Disturbance Rejection Control for Renewable Energy Integration System via MMC-HVDC

A Sub-Synchronous Oscillation Suppression Strategy Based on Active Disturbance Rejection Control for Renewable Energy Integration System via MMC-HVDC

Fault diagnosis of the HVDC system based on the CatBoost algorithm using knowledge graphs

Analysis of medium-frequency oscillation based on bifurcation theory and joint modelling of SVG and direct-drive wind turbine

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