Simulation Analysis of Control Strategy and Commutation Failure in HVDC Transmission System

Peizhe, Li; Ban, Liangeng; Wang, Huawei

doi:10.2991/emcpe-16.2016.38

Cited by 3 publications

(3 citation statements)

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“…In the case of multi-send HVDC systems, the causes of commutation failure in the system become more intricate due to the presence of multiple rectifier stations in the region and electrical coupling among multiple DCs [27]. Additionally, the causes of failure exhibit greater diversity owing to the existence of various potential causal factors [28]. Currently, the literature concerning converter failure in multi-send HVDC systems does not adequately reflect the impact of the multi-send structure on the converter failure-induced overvoltage problem [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Calculation Method of DC Fault Overvoltage Peak Value for Multi-Send HVDC Systems with Wind Power

Li,

Liu,

Han

et al. 2023

Electronics

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Commutation failure (CF) and DC blocking (DCB) faults are common occurrences in high-voltage direct current (HVDC) systems, and their impact on the power grid can be significant due to sudden power fluctuations. These issues pose particular challenges in multi-send HVDC systems due to the intricate interaction between AC and DC components. To tackle these challenges, this paper proposes a method for analyzing the peak overvoltage at the converter bus resulting from DC faults in multi-send HVDC systems. The proposed method comprehensively considers the influence of DC/DC coupling and wind turbine low-voltage ride through (LVRT) characteristics on overvoltage. It offers a straightforward approach to calculate the peak overvoltage following a DC fault without the need for complex modeling or dynamic simulation software. By leveraging the equivalent parameters of the AC system and operational parameters of the DC system, the method effectively quantifies the overvoltage. The primary objective of this study is to address multi-send HVDC systems and establish computational formulas that enable a quantitative assessment of transient overvoltage resulting from DC faults. The analysis explores several influencing factors, uncovering that fault-induced overvoltage is influenced by aspects such as system strength and wind turbine reactive power dynamics. In a single-send HVDC system, the level of overvoltage in the system is primarily affected by the short-circuit ratio. A higher short-circuit ratio results in a lower overvoltage level. On the other hand, in multi-send HVDC systems, the overvoltage level is determined by the equivalent impedance of the individual systems. In DC systems where turbines are present in the DC near zone, the overvoltage level at the converter bus is influenced by the power characteristics of the turbines during the LVRT. To validate the accuracy of the proposed method, a comprehensive verification process is conducted. Through this research, the paper aims to contribute to the understanding and management of transient overvoltage in multi-send HVDC systems. By considering relevant factors and employing an equivalent model, the proposed method offers a practical approach for assessing overvoltage and facilitating the design and operation of such systems.

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Section: Introductionmentioning

confidence: 99%

Calculation Method of DC Fault Overvoltage Peak Value for Multi-Send HVDC Systems with Wind Power

Li,

Liu,

Han

et al. 2023

Electronics

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“…Accordingly, a critical voltage criterion of 0.85 p. u. was proposed. Nevertheless, according to the statistical results of the CF data of 7 HVDC transmission projects in East China from 2010 to 2015, CF may occur from voltage reduction of less than 5% to more than 50% [14], thus the minimum voltage reduction based on operational experience has limited applicability.…”

Section: Introductionmentioning

confidence: 99%

Improved Identification Method and Fault Current Limiting Strategy for Commutation Failure in LCC-HVDC

Liu

Lin

Zhong

et al. 2022

Journal of Modern Power Systems and Clean Energy

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Line-commutated converter based high-voltage direct-current (LCC-HVDC) transmission systems are prone to subsequent commutation failure (SCF), which consequently leads to the forced blocking of HVDC links, affecting the operation of the power system. An accurate commutation failure (CF) identification is fairly vital to the prevention of SCF. However, the existing CF identification methods cause CF misjudge or detection lag, which can limit the effect of SCF mitigation strategy. In addition, earlier approaches to suppress SCF do not clarify the key factor that determines the evolution of extinction angle during system recovery and neglect the influence. Hence, this paper firstly analyzes the normal commutation process and CF feature based on the evolution topology of converter valve conduction in detail. Secondly, the energy in the leakage inductance of converter transformer is presented to characterize the commutation state of the valves. Then a CF identification method is proposed utilizing the leakage inductance energy. Thirdly, taking the key variable which is crucial to the tendency of extinction angle during the recovery process into account, a fault current limiting strategy for SCF mitigation is put forward. Compared with the original methods, the proposed methods have a better performance in CF identification and mitigation in terms of detection accuracy and mitigation effect. Finally, case study on PSCAD/EMTDC validates the proposed methods.

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“…Commutation failure will lead to short circuit of DC side of inverter, so that the DC voltage is zero, the DC current increases, the DC system transmission power is zero, and the dramatic changes of DC power and voltage will impact the AC system on both sides of DC. If commutation fails, improper control may cause multiple commutation failures, resulting in shortened life of converter valve, DC bias of converter transformer and even blocking of DC system, which will bring great harm to the safe and stable operation of power system [1–4].…”

Section: Introductionmentioning

confidence: 99%

Commutation failure caused by AC filter switching In HVDC system

Li¹,

Zheng

Shi³

et al. 2018

J. eng.

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Simulation Analysis of Control Strategy and Commutation Failure in HVDC Transmission System

Cited by 3 publications

References 0 publications

Calculation Method of DC Fault Overvoltage Peak Value for Multi-Send HVDC Systems with Wind Power

Calculation Method of DC Fault Overvoltage Peak Value for Multi-Send HVDC Systems with Wind Power

Improved Identification Method and Fault Current Limiting Strategy for Commutation Failure in LCC-HVDC

Commutation failure caused by AC filter switching In HVDC system

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