Australian Journal of Electrical and Electronics Engineering最新文献_第8页

A risk-based machine learning approach for probabilistic transient stability enhancement incorporating wind generation 一种基于风险的机器学习方法用于风力发电的概率暂态稳定增强

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-08-18 DOI: 10.1080/1448837X.2022.2112293

U. Shahzad

{"title":"A risk-based machine learning approach for probabilistic transient stability enhancement incorporating wind generation","authors":"U. Shahzad","doi":"10.1080/1448837X.2022.2112293","DOIUrl":"https://doi.org/10.1080/1448837X.2022.2112293","url":null,"abstract":"ABSTRACT Power systems are becoming more complex than ever and are consequently operating close to their limit of stability. Considering its significance in power system security, it is important to propose a novel approach for enhancing the transient stability, considering uncertainties. Current deterministic industry practices of transient stability assessment ignore the probabilistic nature of variables. Moreover, the time-domain simulation approach for transient stability evaluation can be very computationally intensive, especially for a large-scale system. The impact of wind penetration on transient stability is critical to investigate, as it does not possess the inherent inertia of synchronous generators. Thus, this paper proposes a risk-based, machine learning decision-making approach, for probabilistic transient stability enhancement, by replacing circuit breakers, including the impact of wind generation. The IEEE 14-bus test system was used to test and validate the effectiveness of the proposed approach. DIgSILENT PowerFactory and MATLAB were utilised for transient stability simulations (for obtaining training data for machine learning), and applying machine learning algorithms, respectively.","PeriodicalId":34935,"journal":{"name":"Australian Journal of Electrical and Electronics Engineering","volume":"115 1","pages":"106 - 121"},"PeriodicalIF":0.0,"publicationDate":"2022-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87760257","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of probabilistic transient stability using support vector regression 基于支持向量回归的概率暂态稳定预测

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-08-13 DOI: 10.1080/1448837X.2022.2112302

U. Shahzad

{"title":"Prediction of probabilistic transient stability using support vector regression","authors":"U. Shahzad","doi":"10.1080/1448837X.2022.2112302","DOIUrl":"https://doi.org/10.1080/1448837X.2022.2112302","url":null,"abstract":"ABSTRACT The increasing uncertainty in power systems has brought various challenges, including transient stability assessment. The conventional approaches, such as, time-domain simulation approach and direct method (based on Lyapunov function and transient energy function), to estimate the transient stability are not appropriate for online application, as they suffer from various drawbacks of large computation time (time-domain simulation) and delivering approximate results (direct method). The field of machine learning and soft computing provides a good alternative to the conventional approaches, for transient stability evaluation. Thus, this paper aims to discuss the application of support vector machine (SVM) for predicting the probabilistic transient stability. DIgSILENT PowerFactory was utilised for conducting time-domain simulations (to obtain the training data), and MATLAB was used for support vector regression (SVR) training. For the SVR model, fault type, fault location, fault clearing time, and system load were chosen as the predictors and the transient stability index (TSI) was used as the response. Various regression metrics were computed, for the IEEE 14-bus system, to validate the effectiveness of the proposed approach. The results obtained verify the efficiency of the proposed approach and provide a great potential to be applied for online dynamic security assessment (DSA).","PeriodicalId":34935,"journal":{"name":"Australian Journal of Electrical and Electronics Engineering","volume":"2 1","pages":"35 - 49"},"PeriodicalIF":0.0,"publicationDate":"2022-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88660254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Frequency reconfigurable key-shape antenna for LTE applications 用于LTE应用的频率可重构键形天线

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-08-12 DOI: 10.1080/1448837X.2022.2112316

A. Abdulhameed, F. Alnahwi, Haidar N. Al-Anbagi, Z. Kubík, A. Abdullah

引用次数: 4

Evaluation experimental of the impact of Saharan climate conditions on the infinity organic photovoltaic module performance 撒哈拉气候条件对无限远有机光伏组件性能影响的评价实验

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-08-08 DOI: 10.1080/1448837X.2022.2108585

Ghaitaoui Touhami, Laribi Slimane, Arama Fatima Zohra, Benabdelkrim Bouchra

引用次数: 0

Minimum and maximum packets’ delays determination for communication flows’ delays jitters computation 通信流时延抖动计算中最小和最大数据包时延的确定

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-08-06 DOI: 10.1080/1448837X.2022.2106674

M. Eyinagho

{"title":"Minimum and maximum packets’ delays determination for communication flows’ delays jitters computation","authors":"M. Eyinagho","doi":"10.1080/1448837X.2022.2106674","DOIUrl":"https://doi.org/10.1080/1448837X.2022.2106674","url":null,"abstract":"ABSTRACT Delay Jitter is a communication networks’ performance issue which occurs when the delays’ of the packets of a traffic stream that has traversed from a transmitter to a receiver are different. Jitter is measured in terms of the difference between a minimum and a maximum value of delay. A large and unaccounted for, value of delay jitter is a problem for some time sensitive applications, for example, real-time audio/video. Delay Jitter is eliminated in some applications by the delayed-playback approach. But this approach requires that the maximum and minimum packets’ delay of a flow should be known in advance. However, it is challenging to a priori know a flow’s minimum and maximum packets’ delays. In this paper, the derivation of simple, practically applicable formulas that can be used to compute the minimum and maximum packets’ delays of a flow, with a view to accounting for, and mitigating the effects of delays’ jitters is reported. The maximum delay value that is obtained with the formulas is compared with three maximum delay values of models that were reported in the literature. The comparison indicates that the formulas that are reported in this paper are superior in terms of practical reality and applicability.","PeriodicalId":34935,"journal":{"name":"Australian Journal of Electrical and Electronics Engineering","volume":"27 1","pages":"27 - 34"},"PeriodicalIF":0.0,"publicationDate":"2022-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74057156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Adaptive step vector-based dragonfly optimization: a new deed for localizing and sizing D-STATCOM in distribution system 基于自适应步进向量的蜻蜓优化:一种配电系统中D-STATCOM定位与定量化的新方法

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-07-21 DOI: 10.1080/1448837X.2022.2100545

V. Tejaswini, D. Susitra

引用次数: 0

Voltage mode and trans-admittance mode first-order universal filters employing DV-EXCCCII 电压模式和跨导纳模式一阶通用滤波器采用dv - exccii

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-06-14 DOI: 10.1080/1448837X.2022.2088571

Priyanka Singh, R. Nagaria

引用次数: 5

Superconducting and non-superconducting fault current limiters: the developmental journey and upcoming prospects 超导与非超导故障限流器的发展历程与展望

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-05-21 DOI: 10.1080/1448837X.2022.2075108

A. K. Singh, Nivedita Singh, A. Singh

引用次数: 1

A failure prediction method of power distribution network based on PSO and XGBoost 基于粒子群算法和XGBoost的配电网故障预测方法

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-05-17 DOI: 10.1080/1448837X.2022.2072447

J. Fang, Hong-Bing Wang, Fan Yang, Kuang Yin, Xiang Lin, Min Zhang

{"title":"A failure prediction method of power distribution network based on PSO and XGBoost","authors":"J. Fang, Hong-Bing Wang, Fan Yang, Kuang Yin, Xiang Lin, Min Zhang","doi":"10.1080/1448837X.2022.2072447","DOIUrl":"https://doi.org/10.1080/1448837X.2022.2072447","url":null,"abstract":"ABSTRACT The power distribution network is an important link between the end of power grid and the users. Precise predictions on the risk probability of the distribution network in severe weather could provide the electric company with a reference to daily operation and maintenance arrangements. The company could also prepare professional mechanists and necessary supplies in advance and restoring power supply in a short time. In this paper, a failure risk prediction of power distribution network method based on particle swarm optimisation and extreme gradient boosting tree algorithm is proposed. The local weather data is fed into the model, outputting the failure severity and probability of the area in the same period. The case study shows that our proposed method relieves the low accuracy problem by introducing the particle swarm optimisation algorithm to search the optimal values of critical parameters. On the testing dataset, the accuracy of our method reaches 96.19%, showing that our model can efficiently evaluate the risk level of the distribution network working conditions. Moreover, the algorithm can extract the association rules between the weather features and the failure risk levels, offering the data support for the failure risk prevention of the distribution network under severe weather.","PeriodicalId":34935,"journal":{"name":"Australian Journal of Electrical and Electronics Engineering","volume":"5 25","pages":"371 - 378"},"PeriodicalIF":0.0,"publicationDate":"2022-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72396905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

A new CMOS compatible high performance first-order all-pass filter realisation 一种新型CMOS兼容高性能一阶全通滤波器的实现

Australian Journal of Electrical and Electronics Engineering Pub Date : 2022-05-04 DOI: 10.1080/1448837X.2022.2068487

B. Chaturvedi, J. Mohan, Shiv Narain Gupta

{"title":"A new CMOS compatible high performance first-order all-pass filter realisation","authors":"B. Chaturvedi, J. Mohan, Shiv Narain Gupta","doi":"10.1080/1448837X.2022.2068487","DOIUrl":"https://doi.org/10.1080/1448837X.2022.2068487","url":null,"abstract":"ABSTRACT A new realisation of an electronically tunable first-order voltage-mode all-pass filter enjoying the feature of low voltage and low power is proposed in this paper. The proposed realisation of filter employs only one active element namely differential voltage extra-x current controlled conveyor and one grounded capacitor. The use of minimal number of components makes the proposed structure simple and attractive from chip fabrication point of view. The performance of proposed structure is also discussed by considering the effects of parasitic and non-idealities of the used active element. Additionally, higher order filter realisation is also included to enrich the presented work by exploring possible applicability aspects. The theoretical performance is validated at schematic level using 0.18 µm CMOS technology parameters with ±1 V supply voltages. Furthermore, Cadence Analog Design Environment (ADE) with gpdk 0.18 µm technology is used to design the layout of the proposed circuit. Pre-layout and post-layout simulation verification is provided to extend the real time validation of theoretical aspects.","PeriodicalId":34935,"journal":{"name":"Australian Journal of Electrical and Electronics Engineering","volume":"111 1","pages":"349 - 362"},"PeriodicalIF":0.0,"publicationDate":"2022-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85100746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2