Pub Date : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177602
S. Asefi, J. Kilter, M. Landsberg
Reliability and security of the power system are dependent on the proper operation of the high voltage circuit breakers (HVCBs). This paper presents a novel Gaussian function-based model to forecast the remaining useful lifetime (RUL) of the HVCBs based on the historical failure data. The model deals with the mean time to failure reliability index instead of failure rate. Furthermore, the service type of the HVCBs is also incorporated into the proposed model. Forecasting RUL of the HVCBs is of significant value for electric utilities, especially to optimize maintenance schedules and prevent catastrophic failures. CIGRE's third survey data is utilized to compare the proposed model with the conventional models. The obtained results demonstrate that the proposed model can accurately forecast the RUL for the HVCB.
{"title":"Incorporating Service Type in Aging Failure Model of High Voltage Circuit Breaker","authors":"S. Asefi, J. Kilter, M. Landsberg","doi":"10.1109/IEEECONF58372.2023.10177602","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177602","url":null,"abstract":"Reliability and security of the power system are dependent on the proper operation of the high voltage circuit breakers (HVCBs). This paper presents a novel Gaussian function-based model to forecast the remaining useful lifetime (RUL) of the HVCBs based on the historical failure data. The model deals with the mean time to failure reliability index instead of failure rate. Furthermore, the service type of the HVCBs is also incorporated into the proposed model. Forecasting RUL of the HVCBs is of significant value for electric utilities, especially to optimize maintenance schedules and prevent catastrophic failures. CIGRE's third survey data is utilized to compare the proposed model with the conventional models. The obtained results demonstrate that the proposed model can accurately forecast the RUL for the HVCB.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128579410","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}
Pub Date : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177520
M. Ozcelik, Taite Clark, Michaela Ruppert, Jian Sun
With the inclusion of renewable energy sources in the electricity grid, micro-grid and distributed generation (DG) concepts have come to the fore in feeding local loads. Inverter technologies are used to convert the direct current (DC) produced by energy sources such as photovoltaic (PV) to alternating current (AC) and to provide grid integration. However, sometimes inverters (because of their non-detection zones, speeds, etc.) cannot detect the island mode during reclosing at the breaker. Such a situation could damage utility equipment and the distributed generator itself. Therefore, in the control hardware in the loop (CHIL) simulation study, the effect of 180-degree out-of-phase closure on utility and customer equipment was investigated according to line distance and location of the load. The simulation study was carried out in real-time.
{"title":"Modeling and Analysis of Transient Overvoltage due to Reclosing of Distributed Energy Resources","authors":"M. Ozcelik, Taite Clark, Michaela Ruppert, Jian Sun","doi":"10.1109/IEEECONF58372.2023.10177520","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177520","url":null,"abstract":"With the inclusion of renewable energy sources in the electricity grid, micro-grid and distributed generation (DG) concepts have come to the fore in feeding local loads. Inverter technologies are used to convert the direct current (DC) produced by energy sources such as photovoltaic (PV) to alternating current (AC) and to provide grid integration. However, sometimes inverters (because of their non-detection zones, speeds, etc.) cannot detect the island mode during reclosing at the breaker. Such a situation could damage utility equipment and the distributed generator itself. Therefore, in the control hardware in the loop (CHIL) simulation study, the effect of 180-degree out-of-phase closure on utility and customer equipment was investigated according to line distance and location of the load. The simulation study was carried out in real-time.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129784787","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}
Pub Date : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177638
K. Sudars, I. Namatēvs, Arturs Nikulins, Rihards Balass, Astile Peter, S. Strautiņa, E. Kaufmane, I. Kalnina
Semantic segmentation based on the deep learning techniques can be used for the non-invasive phenotyping of quinces. In this paper we present a deep neural network for generating pixel wise mask from RGB and Hyperspectral images of the quinces using the U-Net architecture. The generated mask will be very useful for the experts involved in the phenotyping in order to get the dimension of the quinces. Also it can be used in the future for automatic plucking of quinces by the robot. This paper also compares the evaluation metrics of the model trained on both RGB and HSI data. We were able to achieve an accuracy of 93.33% and 70.225% for HSI and RGB data respectively. The developed segmentator is freely available in the GIT repository. The future works will include the model for detecting the ripeness of the quinces from the HSI data and also HSI images will be included in the dataset which will be helpful for the experts who are making research for other fruits.
{"title":"Semantic Segmentation Using U-Net Deep Learning Network for Quince Phenotyping on RGB and HyperSpectral Images","authors":"K. Sudars, I. Namatēvs, Arturs Nikulins, Rihards Balass, Astile Peter, S. Strautiņa, E. Kaufmane, I. Kalnina","doi":"10.1109/IEEECONF58372.2023.10177638","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177638","url":null,"abstract":"Semantic segmentation based on the deep learning techniques can be used for the non-invasive phenotyping of quinces. In this paper we present a deep neural network for generating pixel wise mask from RGB and Hyperspectral images of the quinces using the U-Net architecture. The generated mask will be very useful for the experts involved in the phenotyping in order to get the dimension of the quinces. Also it can be used in the future for automatic plucking of quinces by the robot. This paper also compares the evaluation metrics of the model trained on both RGB and HSI data. We were able to achieve an accuracy of 93.33% and 70.225% for HSI and RGB data respectively. The developed segmentator is freely available in the GIT repository. The future works will include the model for detecting the ripeness of the quinces from the HSI data and also HSI images will be included in the dataset which will be helpful for the experts who are making research for other fruits.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"153 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123747084","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}
Pub Date : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177580
Abhash Kumar, Alok Kumar Kamal, Jawar Singh, B. Gupta
The basic unit of most of the AI/ML based systems is the neuron. The biological neuron has intriguing capability to process mammoth data in a flash of seconds and that too at extremely low energy overhead in range of few femto-Joules. However, most of the previously proposed electronic synapse lacks this ultra-low energy consuming capability of the neuron. So, in this work, an ultra-low energy synaptic semiconductor device operating in subthreshold conduction region have been demonstrated for real-time artificial intelligence (AI) applications. The proposed device is a fully depleted (FD) metal-oxide-semiconductor field-effect transistor (MOSFET) with charge trapping and de-trapping capabilities for synaptic weight modulation. The proposed device was observed to be $approx 10^{3}$ times more energy efficient than previous electronic synapses.
{"title":"Fully Depleted MOSFET Based Bio-Plausible Synapse for Ultra-Low Energy Applications","authors":"Abhash Kumar, Alok Kumar Kamal, Jawar Singh, B. Gupta","doi":"10.1109/IEEECONF58372.2023.10177580","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177580","url":null,"abstract":"The basic unit of most of the AI/ML based systems is the neuron. The biological neuron has intriguing capability to process mammoth data in a flash of seconds and that too at extremely low energy overhead in range of few femto-Joules. However, most of the previously proposed electronic synapse lacks this ultra-low energy consuming capability of the neuron. So, in this work, an ultra-low energy synaptic semiconductor device operating in subthreshold conduction region have been demonstrated for real-time artificial intelligence (AI) applications. The proposed device is a fully depleted (FD) metal-oxide-semiconductor field-effect transistor (MOSFET) with charge trapping and de-trapping capabilities for synaptic weight modulation. The proposed device was observed to be $approx 10^{3}$ times more energy efficient than previous electronic synapses.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114924859","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}
Pub Date : 2023-06-19DOI: 10.1109/IEEECONF58372.2023.10177576
G. Petrauskas, G. Svinkunas
In this research, a novel approach to variable frequency drives (VFD) is presented. The possibility of using VFD to provide or draw out reactive power from the power distribution lines improving the power factor and, simultaneously, performing VFD primary function of motor powering and speed regulation has been explored. The need for such application arose due to the increasingly widespread use of light emitting diode (LED) lighting devices. In this study, the possibility of using three types of VFD for LED produced reactive power compensation and power factor improvement is investigated. The compensation capabilities and compensation ranges of all three types of VFDs were compared. The research was carried out using mathematical calculation, simulation in Matlab - Simulink and experimentally. A practical application of these compensation measures is proposed.
{"title":"Application of VFD for Power Factor Improvement in LED Loaded Power Distribution Lines","authors":"G. Petrauskas, G. Svinkunas","doi":"10.1109/IEEECONF58372.2023.10177576","DOIUrl":"https://doi.org/10.1109/IEEECONF58372.2023.10177576","url":null,"abstract":"In this research, a novel approach to variable frequency drives (VFD) is presented. The possibility of using VFD to provide or draw out reactive power from the power distribution lines improving the power factor and, simultaneously, performing VFD primary function of motor powering and speed regulation has been explored. The need for such application arose due to the increasingly widespread use of light emitting diode (LED) lighting devices. In this study, the possibility of using three types of VFD for LED produced reactive power compensation and power factor improvement is investigated. The compensation capabilities and compensation ranges of all three types of VFDs were compared. The research was carried out using mathematical calculation, simulation in Matlab - Simulink and experimentally. A practical application of these compensation measures is proposed.","PeriodicalId":105642,"journal":{"name":"2023 27th International Conference Electronics","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129796062","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}
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