Modeling High Wind Speed Shut-Down Events Using Meso-Scale Wind Profiles and Survival Analysis

Groch, Matthew; Vermeulen, H.J.

doi:10.1109/tpwrs.2019.2921940

Cited by 7 publications

(4 citation statements)

References 25 publications

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“…This further complicates the freighting of such equipment: Either the fluids are supplied in the same consignment, in which case it is possible that the whole consignment not arrive, or in separate consignments, in which case the generator and fuel may arrive at different places and/or times. 4) Wind generators are typically only effective for a relatively narrow range of wind velocities, and must safely shutdown at other times [42], [43]. Like solar, the energy supply is also highly variable, and may not be available at all, depending on the weather conditions.…”

Section: A Means Of Communicationsmentioning

confidence: 99%

Humanitarian Response Without Humans: How can we help, when we can’t get there?

Lloyd

Kachali

Gardner-Stephen

2020

2020 IEEE Global Humanitarian Technology Conference (GHTC)

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COVID19 has made the global humanitarian context more vulnerable and complex than ever. In particular, it has already resulted in the situation where response to significant disasters, such as Cyclone Harold in Vanuatu, has been greatly impaired by the reduced ability to safely and responsibly deploy humanitarian responders when and where they are needed. These are, however, not new problems: COVID19 has only served to amplify the existing problems.In this paper, we explore how careful and strategic use of existing and emerging technologies can be used to mitigate this problem, by analyzing the humanitarian roles and functions that need to be provided, and then creating technology packages that can both meet those needs, and be boot-strapped in country, without the need for any personnel to deploy into the disaster zone. Or perhaps more realistically, how the need for deploying personnel can be simultaneously minimized, and be primarily met from personnel already in-situ.Among other contributions, we identify that technologies designed for remote support injection into disaster zones should embody self-evident function and value, self-sufficiency, selfconfiguration and self-regulation, to ensure rapid, effective and maintainable delivery of humanitarian assistance from afar.

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Section: A Means Of Communicationsmentioning

confidence: 99%

Humanitarian Response Without Humans: How can we help, when we can’t get there?

Lloyd

Kachali

Gardner-Stephen

2020

2020 IEEE Global Humanitarian Technology Conference (GHTC)

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“…As one of the most vulnerable key components, the wind turbine bearing has a vital impact on the efficiency, safety and life of wind farm equipment 3,4 . The problems of remote location, harsh environment and untimely maintenance may lead to the shutdown of wind farms and reduce the power generation efficiency of the entire wind farms 5 . Therefore, FD is of great significance to strengthen the safe and stable operation of wind turbines, reduce maintenance costs, and improve the economic benefits of wind farms.…”

Section: Introductionmentioning

confidence: 99%

Fault diagnosis of power equipment based on variational autoencoder and semi‐supervised learning

Ye,

Li,

Zhang

et al. 2024

Concurrency and Computation

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SummaryThe issue of fault diagnosis in power equipment is receiving increasing attention from scholars. Due to the important role played by bearings in power equipment, bearing faults have become the main factor causing the shutdown of wind turbines units. Therefore, this paper takes bearing equipment as an example for research. In order to solve the problem of insufficient and unbalanced fault sample data of wind turbines bearings, a fault diagnosis (FD) method based on variational autoencoder and semi‐supervised learning is proposed in this paper. Firstly, based on Label Propagation‐random forests (LP‐RFs) and a small number of labeled fault samples, a semi‐supervised learning algorithm is proposed to label the original data samples. Secondly, a small number of training samples are preprocessed by the variational autoencoder to reduce the imbalance of the fault samples. Then, the RFs‐based method is adopted to train the processed fault samples to obtain a mature FD classifier. Finally, the proposed method is applied to FD for bearings, and the results show that the proposed method can realize bearings fault diagnosis (BFD). And meanwhile, the proposed method can also be applied for fault diagnosis in power transmission and transformation systems.

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“…1) Through the analysis of the wind farm, it is found that there exists the most-frequency wind speed (MFWS) in the wind farm, and the MMC-based wind energy conversion system operates at this wind speed most of the time (Groch and Vermeulen, 2019). However, the capacitance of the SM capacitor is selected and designed under the maximum wind speed, which will cause a waste of cost and volume.…”

Section: Introductionmentioning

confidence: 99%

Reducing Submodule Capacitance for Modular Multilevel Converter-Based Medium-Voltage Wind Power Converter

Qian

Liu

et al. 2022

Front. Energy Res.

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This study presents a strategy to reduce the capacitance of the submodule (SM) capacitor of a modular multilevel converter-based medium-voltage wind power converter. The design of the SM capacitor of the modular multilevel converter (MMC) should consider the actual operating conditions, especially the influence of wind speed, because wind speed will affect the voltage ripple and voltage amplitude of the SM capacitor. In the traditional method, the capacitance design of the SM capacitor will be based on relatively high wind speed and leave a certain safety margin. However, in most cases, the system operates at the highest-frequency wind speed (HFWS). For the MMC-based wind energy conversion system, a constant capacitor voltage ripple (CCVR) control method is proposed. Using this method, the SM capacitor voltage ripple can be significantly reduced by injecting the second harmonic component of circulating current. In this way, the SM capacitor with smaller capacitance can be used. Finally, the effectiveness of the proposed method is validated in RT-Lab Platform.

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Modeling High Wind Speed Shut-Down Events Using Meso-Scale Wind Profiles and Survival Analysis

Cited by 7 publications

References 25 publications

Humanitarian Response Without Humans: How can we help, when we can’t get there?

Humanitarian Response Without Humans: How can we help, when we can’t get there?

Fault diagnosis of power equipment based on variational autoencoder and semi‐supervised learning

Reducing Submodule Capacitance for Modular Multilevel Converter-Based Medium-Voltage Wind Power Converter

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