A commutation failure risk analysis method considering the interaction of inverter stations

Yang, Weichen; Miao, Shihong; Zhang, Shixu; Li, Yaowang; Han, Ji; Xu, Hanping; Zhang, Dongyin

doi:10.1016/j.ijepes.2020.106009

Cited by 18 publications

(3 citation statements)

References 16 publications

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“…At present, the LCC-UHVDC system adopts constant current control on the rectifier side, constant current control, and constant turn-off of the angle control on the inverter side. Since the LCC-UHVDC system uses thyristor devices to realize commutating, it can only control the on-off switch but cannot realize active turn-off and relies on the AC power grid to provide commutating voltage [3,4], which easily leads to commutating failure. At present, commutation failure is still one of the most common faults in the converter station.…”

Section: Introductionmentioning

confidence: 99%

A Suppression Method of Commutation Failure in LCC-UHVDC Systems Based on the Dynamic Tracking of the Turn-Off Angle Setting Value

Wang,

Zheng,

Liu

et al. 2024

Electronics

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Commutation failure is still one of the most common faults in LCC-UHVDC (line commutated converter-based, ultra-high voltage direct current) systems, and if the inverter side, extinction angle, and rectification value remain constant during the fault, it may lead to commutation failure or even continuous commutation failure. Therefore, this paper first analyzes the structure of the LCC-UHVDC system and the mechanism of commutation failure and, on this basis, proposes a commutation failure suppression method based on dynamic tracking of the extinction angle rectification value. The desired DC voltage of the system under fault conditions is calculated based on key state quantities such as the AC voltage RMS value, the extinction angle, and the leading angle during the fault process. The compensation amount is obtained by comparing the desired DC voltage with the actual DC voltage and superimposition on the extinction angle rectification value in the inverter extinction angle control. When there is a risk of commutation failure, dynamically adjusting the extinction angle setting value according to the compensation value is beneficial for the rapid and stable recovery of the extinction angle, reducing the probability of commutation failure. A bipolar neutral ground LCC-UHVDC testing model system is established in PSCAD/EMTDC for simulation verification to show that the proposed improved control strategy effectively reduces the probability of commutation failure and significantly improves the stable operation characteristics of the LCC-UHVDC system.

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Section: Introductionmentioning

confidence: 99%

A Suppression Method of Commutation Failure in LCC-UHVDC Systems Based on the Dynamic Tracking of the Turn-Off Angle Setting Value

Wang,

Zheng,

Liu

et al. 2024

Electronics

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“…LCC‐HVDC is one of the most popular ways of transmitting large‐scale renewable powers especially over long distances. In the hybrid AC/DC systems with large‐scale wind powers, as one of the most common voltage/var‐related contingencies, commutation failures in multi‐infeed LCC‐HVDC networks deteriorate the voltage profiles [3]. For example, nearly 20 commutation failures triggered by AC grounded faults are recorded within 6 months for one individual converter station in Eastern China Power Grid, some of which further led to DC blocking contingencies due to insufficient fast voltage/var support and a lack of dynamic reactive power reserves.…”

Section: Introductionmentioning

confidence: 99%

Parameter optimization of reactive power device planning in hybrid AC/DC networks based on objective‐oriented scenario selection method

Niu,

Wu,

Fang

et al. 2023

IET Renewable Power Gen

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As one of the most common voltage/var‐related contingencies, commutation failures in hybrid AC/DC networks deteriorate the voltage profiles. Thus, systems may suffer from large‐scale cascading risks induced by the lack of dynamic reactive power support. Conventional power system planning usually aims to optimize the device capacity and location, ignoring the influences of intrinsic device parameters on high‐voltage direct current (HVDC) dynamics during commutation failures. If the intrinsic device parameters are also taken into account in the planning problem, it would allow for faster dynamic voltage/var support during system faults or disturbances to recover from voltage drops. However, considering the intrinsic parameters, allocations and capacities of a device, the optimal planning problem brings several challenges, such as scenario selections and computational burdens. To overcome these issues, an objective‐oriented scenario selection based power system planning approach is proposed in this paper. First, the detailed operations of converter stations are formulated both considering the steady state and system dynamics. Next, the quantitative relation between the power losses and deviation in system conditions is then derived to approximately describe the operational characteristics. Then, an objective‐oriented representative scenario selection method is introduced, aiming to reduce the number of selected scenarios, guaranteeing both computational accuracy and efficiency. Finally, a modified IEEE‐118 system is used to test the proposed algorithm, and the superiority and computational efficiency are observed by the simulation results.

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“…Since the dynamical influence from HVDC control is usually neglected in the literatures above, the misjudgments are inevitable sometimes. An approach involving the transients due to HVDC is proposed to evaluate the CF risk (Yang et al, 2020). After the dynamic reactive power of inverter stations as well as the induced successive CF is analyzed (Ouyang et al, 2021), presents a rapid prediction method based on the extinction angle of LCC-HVDC affected by the adjacent one.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Convolutional Network Based Identification of Voltage-Coupling Commutation Failures in Multi-Infeed HVDC Systems

et al. 2022

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Cascading commutation failures (CFs) pose severe risks in multi-infeed high voltage direct current (HVDC) systems. Different from the single or concurrent CF, not only the time-relevance of signals but also the spatio coupling and even control correlation of HVDCs will attribute to the cascading CFs. The conventional approaches to identify them tend to fall into a dilemma due to their complicated dynamics, wide-area coupling and vague threshold of judgement. In this paper, a deep-learning method based on the data-driven idea is proposed to recognize the cascading CFs. It analyzes the crucial factors leading to the cascading relationship of multiple HVDCs, while classifying them into time and space signals. To extract the inherent correlation between HVDCs as well as the time relevance in question, a spatio-temporal convolutional network (STCN) is formulated. The data generated in case of faults with diverse severity are applied to train STCN. Finally, the proposed framework and STCN method are validated by a customized IEEE 39 bus system and a practical power grid.

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A commutation failure risk analysis method considering the interaction of inverter stations

Cited by 18 publications

References 16 publications

A Suppression Method of Commutation Failure in LCC-UHVDC Systems Based on the Dynamic Tracking of the Turn-Off Angle Setting Value

A Suppression Method of Commutation Failure in LCC-UHVDC Systems Based on the Dynamic Tracking of the Turn-Off Angle Setting Value

Parameter optimization of reactive power device planning in hybrid AC/DC networks based on objective‐oriented scenario selection method

Spatio-Temporal Convolutional Network Based Identification of Voltage-Coupling Commutation Failures in Multi-Infeed HVDC Systems

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