Coordinated power control of electrochemical energy storage for mitigating subsequent commutation failures of HVDC

Zhou, Hongyu; Yao, Wei; Ai, Xiaomeng; Zhang, Jing; Wen, Jinyu; Li, Chenghao

doi:10.1016/j.ijepes.2021.107455

Cited by 31 publications

(8 citation statements)

References 24 publications

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“…The converter main circuit failure is divided into the short circuit of the converter valve, DC-side outlet short circuit, DCside ground short circuit, AC-side phase short circuit, and AC-side ground short circuit (Chen et al, 2022). The control system fault refers to whether the converter valve is opening or not opening (Zhou et al, 2022). Furthermore, commutation failure is the most common system fault in HVDC systems, which can lead to DC voltage drop and DC increase for a short period of time, and may lead to system shutdown in serious cases.…”

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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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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“…Te resulting deterioration of the ecological environment and global warming has brought a very serious threat to people's survival and safety [5]. Due to the increasing demand for energy and the decreasing reserves of fossil energy [6], renewable energy sources are gaining more and more attention and are gradually replacing most fossil fuels [7], and one of the most promising energy sources is solar energy [8].…”

Section: Introductionmentioning

confidence: 99%

Atom Search Optimization-Based PV Array Reconfiguration Technique under Partial Shading Condition

Zhou

et al. 2023

International Transactions on Electrical Energy Systems

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Photovoltaic (PV) reconfiguration is an effective solution for reducing the hot spot effect caused by partial shadows on PV arrays. This paper proposed an efficient atom search optimization- (ASO-) based PV reconfiguration method. The analysis and comparison with the other four reconfiguration methods were performed by three evaluation criteria, which are mismatch loss, fill factor, and standard deviation, respectively. The conclusion can be drawn that the efficiency, rapidity, and reliability of ASO are superior to those of other methods. Besides, a moving cloud shadow mode of 9 × 9-scaled PV array is designed in this paper, which can be widely recommended to thoroughly study a PV reconfiguration approach.

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“…At present, a large number of studies have been done at home and abroad on the problems related to the commutation failure of HVDC system and energy storage [3][4][5][6][7] . Among them, literature [3] has analyzed the correlation between the transient overvoltage level and the short-circuit ratio of converter station, the shortcircuit capacity of converter station, and the voltage control capability of near-area system and the safety control.…”

Section: Introductionmentioning

confidence: 99%

“…Literature [5] has a guiding significance for HVDC to quantitatively evaluate the transient performance indicators of AC and DC power systems and to determine the planning, design and scheduling operation of AC and DC power systems. Literature [6] proposes a coordinated control strategy for energy storage active power output to suppress the subsequent problems of commutation failure.…”

Section: Introductionmentioning

confidence: 99%

Analysis of influence of energy storage system parameters on HVDC commutation failure overvoltage

Ge,

Wang,

Duan

et al. 2023

E3S Web Conf.

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Overvoltage is a common fault in high voltage direct current (HVDC) transmission systems, which directly affects the safe and stable operation of the system. Energy storage system has been widely used in power system because of its fast response speed, high precision and bidirectional energy transmission. As a variable parameter, the low voltage traverse active power coefficient directly affects the overvoltage of commutation failure in HVDC system. In this paper, the influence of transient characteristics and energy storage parameters on commutation failure overvoltage of energy storage system connected to HVDC is analyzed. Based on PSASP simulation, combined with the actual characteristic setting parameters of a power grid in northwest China, the positive correlation between energy storage low-pass active power and transient overvoltage of HVDC system commutating failure is verified by dynamic trajectory sensitivity analysis, and the optimization space of HVDC energy storage system is expanded.

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Coordinated power control of electrochemical energy storage for mitigating subsequent commutation failures of HVDC

Cited by 31 publications

References 24 publications

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

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

Atom Search Optimization-Based PV Array Reconfiguration Technique under Partial Shading Condition

Analysis of influence of energy storage system parameters on HVDC commutation failure overvoltage

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