Initialization of DFIG wind turbines with a phasor‐based approach

Rolán, Alejandro; Pedra, J.

doi:10.1002/we.2296

Cited by 9 publications

(4 citation statements)

References 31 publications

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“…The current power transmission protection schemes for largescale wind farms have various challenges in HV power transmission networks [9][10][11][12][13][14][15][16]. The use of synchronised PMUs installed at both sides of each transmission line based on a global positioning system (GPS) and a high-speed communication system is one of the numerous options to discriminate internal and external faults of interconnected lines.…”

Section: Literature Reviewmentioning

confidence: 99%

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Fault classifications of MV transmission lines connected to wind farms using non‐intrusive fault monitoring techniques on HV utility side

Chang

2020

IET gener. transm. distrib.

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The fault classification of medium-voltage transmission lines consisting of wind farms connected to the high-voltage (HV) transmission networks is carried out using the power-spectrum-based hyperbolic S-transform (HST) powerful technique for analysing non-linear and non-stationary fault signals through the non-intrusive monitoring systems. The HST technique extracts the useful features in the time-frequency domain from measuring fault current waveforms of the HV utility side to discriminate the fault types. Parseval's theorem is applied to each HST coefficient to quantify the energy distribution of various fault types for reducing the size of inputs for recognition algorithms. Next, multiclass support vector machines achieve identification. The results have proved that the proposed classification technique is independent of fault resistance, source impedance, and fault inception angles. Extensive simulations are conducted using the electromagnetic transients program to show that the recognition accuracy of the fault classification for all types is up to 96.84%.

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Section: Literature Reviewmentioning

confidence: 99%

“…Based on the fault classification work, some essential properties in (13) for recognising fault features have been corroborated using the proposed HST algorithm [23]. First, the power-spectrum distribution is independent of the initiation time of a fault incident.…”

Section: Power Spectrum-based Hstmentioning

confidence: 99%

Fault classifications of MV transmission lines connected to wind farms using non‐intrusive fault monitoring techniques on HV utility side

Chang

2020

IET gener. transm. distrib.

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“…Han et al [7] combined the unstable streamlined and WT dynamic models to compute a unique response based on beam theory in a typhoon for 6 MW and 2 MW WTs. Meanwhile, Rolán and Pedra [8] proposed a calculation to investigate DFIG WT. At the same time [9] highlighted the need for a geographic information system and presented an improved condition monitoring system, and [10] used a parameter estimation technique and an observer approach to diagnose mechanical drive train faults in WTs.…”

Section: Introductionmentioning

confidence: 99%

Blade imbalance fault identification in doubly fed induction generator through current signature analysis using wavelet transform

Kushwaha,

Yadav,

Maurya

2024

Bulletin EEI

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Using wind turbines (WTs) equipped with doubly fed induction generators (DFIG) is a popular technology for generating renewable energy. To ensure safe operation, prompt maintenance, and better operational reliability, the induction generator used in wind energy must be monitored. In this paper, an analysis is carried out on stator currents of the DFIG machine in a wind farm to identify any blade imbalances in the wind farm. A fault characteristics extraction analysis is carried out on the machine stator currents to detect the fault in the system. Firstly, the mathematical equation of the DFIG blade unbalanced stator current is generated using the DFIG model. Secondly, Park's Transformation is used to modify the stator's 3-phase current. Further, by evaluating the feature frequency amplitude variation in the squared signal by doing a spectral analysis on the stator current vector's squared signal. Lastly, a Simulink model for the DFIG is developed. The suggested approach analyses the fault signal of the imbalanced blade fault at various wind velocities. The outcomes show that the suggested method for diagnosing impeller imbalance faults can successfully locate the fault.

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Section: Introductionmentioning

confidence: 99%

Risk analysis and prevention in computer security in institutional servers, a systematic review of the literature

Namo-Ochoa,

Portilla-Cosar,

Sierra-Liñan

et al. 2024

Bulletin EEI

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In recent years, computer attacks on the server infrastructure in organizations have been increasing, and the pandemic of covid-19 and remote work have been the main causes for this massive wave of large-scale attacks, small businesses are especially vulnerable because to optimizing resources they leave aside the cyber security in their network infrastructure. The present research is a systematic review that compiles 58 articles where policies, techniques, and infrastructure for the prevention of threats in enterprise servers have been implemented and raised, these articles have been collected from major databases such as IEEE Xplore, SAGE, Science Direct, Scopus, and IOP Publishing. The results show that one of the most effective methods in preventing communications between institutional servers is public key infrastructure/SSL-TLS encryption. Most research claims that it is the most effective method as it provides a central certifier and manages the certificates for the servers allowing each of the modules or attachments within the infrastructure to identify and validate other members and to proceed with the encryption of network traffic, Finally, a security implementation model is proposed.

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Initialization of DFIG wind turbines with a phasor‐based approach

Cited by 9 publications

References 31 publications

Fault classifications of MV transmission lines connected to wind farms using non‐intrusive fault monitoring techniques on HV utility side

Fault classifications of MV transmission lines connected to wind farms using non‐intrusive fault monitoring techniques on HV utility side

Blade imbalance fault identification in doubly fed induction generator through current signature analysis using wavelet transform

Risk analysis and prevention in computer security in institutional servers, a systematic review of the literature

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