Pub Date : 2024-01-18DOI: 10.1109/icpc2t60072.2024.10474839
Sameer Kumar Behera, A. Panda, N. Naik, S. Pattnaik, Prerana Mohapatra, Markala Karthik
This article proposes an resilient heterogeneous voltage and current control scheme (RHVCS) for a three-phase grid-tied virtual synchronous generator (GTVSG) system to provide harmonic compensation and consequently improve the system's power quality. The GTVSG system, as mentioned above, incorporates renewable energy-based distributed generation units (REDG) profoundly photovoltaic generators (PVGs) on the source terminal, having dynamic input characteristics. Considering the control aspects for GTVSG, it adopts various current and voltage control methods discussed in the literature. However, the proposed RHVCS implemented in the GTVSG digital controller helps reduce the number of lowpass/band-pass filter involved. Furthermore, the proposed controller uses a phase lock loop (PLL) less strategy which automatically necessitates the identification of the deviation in the GTVSG system frequency from the power control loop. The proposed RHVCS incorporates three different harmonic compensation objectives illustrated in different sections. Additionally, the proposed control strategy minimizes the digital controller's complexity without infringing on the harmonic compensation's performance, which is commendable. Finally, the above controller is implemented in MATLAB/Simulink platform
{"title":"Flexible GTVSG Power Quality Enhancement Using Resilient Heterogeneous Voltage and Current Control","authors":"Sameer Kumar Behera, A. Panda, N. Naik, S. Pattnaik, Prerana Mohapatra, Markala Karthik","doi":"10.1109/icpc2t60072.2024.10474839","DOIUrl":"https://doi.org/10.1109/icpc2t60072.2024.10474839","url":null,"abstract":"This article proposes an resilient heterogeneous voltage and current control scheme (RHVCS) for a three-phase grid-tied virtual synchronous generator (GTVSG) system to provide harmonic compensation and consequently improve the system's power quality. The GTVSG system, as mentioned above, incorporates renewable energy-based distributed generation units (REDG) profoundly photovoltaic generators (PVGs) on the source terminal, having dynamic input characteristics. Considering the control aspects for GTVSG, it adopts various current and voltage control methods discussed in the literature. However, the proposed RHVCS implemented in the GTVSG digital controller helps reduce the number of lowpass/band-pass filter involved. Furthermore, the proposed controller uses a phase lock loop (PLL) less strategy which automatically necessitates the identification of the deviation in the GTVSG system frequency from the power control loop. The proposed RHVCS incorporates three different harmonic compensation objectives illustrated in different sections. Additionally, the proposed control strategy minimizes the digital controller's complexity without infringing on the harmonic compensation's performance, which is commendable. Finally, the above controller is implemented in MATLAB/Simulink platform","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"8 2","pages":"439-444"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531364","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10474915
V. Sonti
This paper introduces a solution using a single-phase single-stage PV transformerless five-level inverter to address leakage current issues. By utilizing a single PV source, the proposed inverter generates five output voltage levels. The design involves cascading two converters to achieve the proposed single-phase single-stage PV transformerless five-level inverter. Operating in both buck and boost modes, the proposed single-phase single-stage PV transformerless five-level inverter demonstrates distinct output voltage peak values: matching the input PV voltage in buck mode and doubling the input PV voltage in boost mode. The paper elaborates on the switching states necessary to produce these five output voltage levels in both operational modes. The key innovation lies in maintaining a constant common-mode voltage, effectively reducing leakage current. This feature remains consistent in both buck and boost modes. Additionally, the paper includes simulation results validating the functionality of this proposed single-phase single-stage PV transformerless five-level inverter.
{"title":"Single-Phase Single-Stage Transformerless PV Inverter Used for the Minimization of Leakage Current in the Grid Connected Systems","authors":"V. Sonti","doi":"10.1109/ICPC2T60072.2024.10474915","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10474915","url":null,"abstract":"This paper introduces a solution using a single-phase single-stage PV transformerless five-level inverter to address leakage current issues. By utilizing a single PV source, the proposed inverter generates five output voltage levels. The design involves cascading two converters to achieve the proposed single-phase single-stage PV transformerless five-level inverter. Operating in both buck and boost modes, the proposed single-phase single-stage PV transformerless five-level inverter demonstrates distinct output voltage peak values: matching the input PV voltage in buck mode and doubling the input PV voltage in boost mode. The paper elaborates on the switching states necessary to produce these five output voltage levels in both operational modes. The key innovation lies in maintaining a constant common-mode voltage, effectively reducing leakage current. This feature remains consistent in both buck and boost modes. Additionally, the paper includes simulation results validating the functionality of this proposed single-phase single-stage PV transformerless five-level inverter.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"27 23","pages":"594-598"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531370","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}
This paper presents a new configuration and analysis to share energy between electric vehicle to vehicle (V2V). The proposed converter uses on-board equipment of the electric vehicle (EV) and an externally connected capacitor. This configuration is capable of transferring energy between EVs with either identical or non-identical battery ratings. Further, it uses only the DC-DC converter components of the on-board equipment. Thus, reduces the number of devices conduction during the V2V power transfer. The operation of the proposed arrangement is validated by using simulation studies and the results are presented for different battery charging conditions.
{"title":"Electric Vehicle to Vehicle (V2V) Power Transfer with On-Board Network and Capacitor-Link","authors":"Mounika Reddimalla, Srinivasan Pradabane, Keshav Dahal","doi":"10.1109/ICPC2T60072.2024.10474760","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10474760","url":null,"abstract":"This paper presents a new configuration and analysis to share energy between electric vehicle to vehicle (V2V). The proposed converter uses on-board equipment of the electric vehicle (EV) and an externally connected capacitor. This configuration is capable of transferring energy between EVs with either identical or non-identical battery ratings. Further, it uses only the DC-DC converter components of the on-board equipment. Thus, reduces the number of devices conduction during the V2V power transfer. The operation of the proposed arrangement is validated by using simulation studies and the results are presented for different battery charging conditions.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"22 21","pages":"565-568"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531383","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 : 2024-01-18DOI: 10.1109/icpc2t60072.2024.10474764
A.Subramaniya Siva, S.G. Rameshkumar, K. Dhayalini
Supraharmonic analysis, as applied to power systems through Welch's Power Spectral Density Estimation, emerges as a crucial technique for assessing the stability and reliability of electrical grids. This paper offers a novel approach to investigate the non-standard frequency components and disturbances that can affect power distribution networks. By breaking down the electrical signals into supraharmonic components, this method enables a deep understanding of complex power system behaviors and the sources of instability. Welch's Power Spectral Density Estimation plays a pivotal role in this process, allowing for a detailed examination of the spectral content of power system signals. The extraction of supraharmonic information facilitates the identification of irregularities and anomalies, which are often elusive when analyzing traditional harmonic frequencies. The use of various window functions enhances the precision of Supraharmonic Analysis, allowing for a finely tuned investigation of power system behaviors and disturbances. Different window functions offer flexibility in capturing specific characteristics within the signals, making it easier to identify and isolate irregularities and anomalies. Among triangular,hanning, and hamming windows, reduced spectral leakage and smoother power spectral density are achieved from the hamming window. Also, the comparative analysis of harmonics and supraharmonics by Welch's Power Spectral Density estimation has been performed.
{"title":"Supraharmonic Analysis by Welch's-Power Spectral Density Estimation","authors":"A.Subramaniya Siva, S.G. Rameshkumar, K. Dhayalini","doi":"10.1109/icpc2t60072.2024.10474764","DOIUrl":"https://doi.org/10.1109/icpc2t60072.2024.10474764","url":null,"abstract":"Supraharmonic analysis, as applied to power systems through Welch's Power Spectral Density Estimation, emerges as a crucial technique for assessing the stability and reliability of electrical grids. This paper offers a novel approach to investigate the non-standard frequency components and disturbances that can affect power distribution networks. By breaking down the electrical signals into supraharmonic components, this method enables a deep understanding of complex power system behaviors and the sources of instability. Welch's Power Spectral Density Estimation plays a pivotal role in this process, allowing for a detailed examination of the spectral content of power system signals. The extraction of supraharmonic information facilitates the identification of irregularities and anomalies, which are often elusive when analyzing traditional harmonic frequencies. The use of various window functions enhances the precision of Supraharmonic Analysis, allowing for a finely tuned investigation of power system behaviors and disturbances. Different window functions offer flexibility in capturing specific characteristics within the signals, making it easier to identify and isolate irregularities and anomalies. Among triangular,hanning, and hamming windows, reduced spectral leakage and smoother power spectral density are achieved from the hamming window. Also, the comparative analysis of harmonics and supraharmonics by Welch's Power Spectral Density estimation has been performed.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"22 6","pages":"357-362"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531385","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 : 2024-01-18DOI: 10.1109/icpc2t60072.2024.10474765
Hayatullah Nory, Ahmet Yildiz
The rapid evolution of unmanned aerial vehicles (U A V s) has led to an increased demand for efficient and reliable propulsion systems. This study focuses on the design and development of a permanent magnet synchronous motor (PMSM) specifically designed for mini unmanned aerial vehicles. The designed PMSM has been designed to deliver 300 W output power, produce 0.28 Nm torque and operate at 10110 rpm with 28V DC supply voltage. Spoke type rotor has been preferred in PMSM design. This design not only ensures magnet integrity under high rotation speeds, but also increases the flux density in the air gap, significantly increasing torque output. Improved torque output contributes to the UAV's maneuverability, allowing rapid adaptation to evolving mission demands.
无人驾驶飞行器（U A V s）的快速发展导致对高效、可靠推进系统的需求不断增加。本研究的重点是设计和开发一种专为微型无人飞行器设计的永磁同步电机（PMSM）。所设计的 PMSM 输出功率为 300 W，扭矩为 0.28 Nm，工作转速为 10110 rpm，直流电源电压为 28V。在 PMSM 设计中，辐条式转子是首选。这种设计不仅能确保磁铁在高转速下的完整性，还能增加气隙中的磁通密度，显著提高扭矩输出。扭矩输出的提高有助于增强无人机的机动性，使其能够快速适应不断变化的任务需求。
{"title":"High-Speed Permanent Magnet Synchronous Motor Design for Mini Unmanned Aerial Vehicle","authors":"Hayatullah Nory, Ahmet Yildiz","doi":"10.1109/icpc2t60072.2024.10474765","DOIUrl":"https://doi.org/10.1109/icpc2t60072.2024.10474765","url":null,"abstract":"The rapid evolution of unmanned aerial vehicles (U A V s) has led to an increased demand for efficient and reliable propulsion systems. This study focuses on the design and development of a permanent magnet synchronous motor (PMSM) specifically designed for mini unmanned aerial vehicles. The designed PMSM has been designed to deliver 300 W output power, produce 0.28 Nm torque and operate at 10110 rpm with 28V DC supply voltage. Spoke type rotor has been preferred in PMSM design. This design not only ensures magnet integrity under high rotation speeds, but also increases the flux density in the air gap, significantly increasing torque output. Improved torque output contributes to the UAV's maneuverability, allowing rapid adaptation to evolving mission demands.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"35 2","pages":"49-54"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531415","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10475088
Osamah N. Neamah, R. Bayir
This scientific paper presents groundbreaking advancements in Predictive Maintenance (PdM) within Industry 4.0, employing cutting-edge machine learning classification algorithms for fault prediction and diagnosis in Air Production Unit (APU) systems like MetroPT and MetroPT -3. This research uses data-driven methodologies to optimize feature extraction techniques to enhance fault prediction and improve diagnostic accuracy. A robust and versatile model emerges through comprehensive testing, displaying exceptional potential in fault prediction and diagnosis for complex systems. The paper highlights the significance of enhanced analytical techniques, such as cross-validation, ensuring the reliability and robustness of the model, contributing to refined and accurate fault prediction and diagnosis, all without succumbing to overfitting. This work significantly advances the application of machine learning in predicting malignancy within Industry 4.0, showcasing the promise of these methodologies in fault prediction and diagnosis for intricate systems.
{"title":"Revolutionizing Fault Prediction in MetroPT Datasets: Enhanced Diagnosis and Efficient Failure Prediction through Innovative Data Refinement","authors":"Osamah N. Neamah, R. Bayir","doi":"10.1109/ICPC2T60072.2024.10475088","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10475088","url":null,"abstract":"This scientific paper presents groundbreaking advancements in Predictive Maintenance (PdM) within Industry 4.0, employing cutting-edge machine learning classification algorithms for fault prediction and diagnosis in Air Production Unit (APU) systems like MetroPT and MetroPT -3. This research uses data-driven methodologies to optimize feature extraction techniques to enhance fault prediction and improve diagnostic accuracy. A robust and versatile model emerges through comprehensive testing, displaying exceptional potential in fault prediction and diagnosis for complex systems. The paper highlights the significance of enhanced analytical techniques, such as cross-validation, ensuring the reliability and robustness of the model, contributing to refined and accurate fault prediction and diagnosis, all without succumbing to overfitting. This work significantly advances the application of machine learning in predicting malignancy within Industry 4.0, showcasing the promise of these methodologies in fault prediction and diagnosis for intricate systems.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"192 1","pages":"310-315"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531127","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10475038
Himanshu Sekhar Sahu, Shashank Kumar, Papul Changmai, S. K. Nayak
This paper describes the MPP determination of a photovoltaic (PV) panel using the explicit equation of current, which is only a function of voltage. Using an approximation of a straight line expression, the explicit equation of current is derived from implicit V-I characteristics. The V-I curves obtained from an implicit expression of current for various panel ratings are used to implement the proposed PV system expression of current. Under various environmental conditions (DEC), the proposed explicit V-I expression is used to directly estimate the MPP of a PV system. Using the MATLAB program, the MPP of the panel at DEC obtained by applying the proposed algorithm is contrasted with various existing techniques. The estimated MPP of a panel using the developed method closely matches the actual MPP values, according to the results. Additionally, there is little (%) error between estimated peak power using the developed method and measured peak power. As a result, a panel's estimated MPP calculated using the developed method is more precise.
{"title":"Peak Power Extraction from a PV System for Various DC and AC Loads","authors":"Himanshu Sekhar Sahu, Shashank Kumar, Papul Changmai, S. K. Nayak","doi":"10.1109/ICPC2T60072.2024.10475038","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10475038","url":null,"abstract":"This paper describes the MPP determination of a photovoltaic (PV) panel using the explicit equation of current, which is only a function of voltage. Using an approximation of a straight line expression, the explicit equation of current is derived from implicit V-I characteristics. The V-I curves obtained from an implicit expression of current for various panel ratings are used to implement the proposed PV system expression of current. Under various environmental conditions (DEC), the proposed explicit V-I expression is used to directly estimate the MPP of a PV system. Using the MATLAB program, the MPP of the panel at DEC obtained by applying the proposed algorithm is contrasted with various existing techniques. The estimated MPP of a panel using the developed method closely matches the actual MPP values, according to the results. Additionally, there is little (%) error between estimated peak power using the developed method and measured peak power. As a result, a panel's estimated MPP calculated using the developed method is more precise.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"24 30","pages":"259-264"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531375","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}
The increasing global demand for electricity underscores the need to transition from fossil fuels to sustainable alternatives like solar energy. Despite solar power's advantages of abundance, sustainability, and quiet operation, environmental factors such as temperature and irradiance affect the efficiency of photovoltaic (PV) systems. This study utilizes the Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) approach to optimize a PV panel, validated through a cost-effective Arduino-based hardware model. The approach integrates simulation and practical testing, offering insights into energy production variations under diverse conditions, with parameters continuously monitored and updated on a web server.
{"title":"Real-time Solar Power Optimization and Energy Monitoring System with Maximum Power Point Tracking","authors":"Cherukumpalem Mohiddin Khan, S.V.R Lakshmi Kumari, Chundi Vinay Kumar, Mekala Hema, Rayipudi Angel","doi":"10.1109/icpc2t60072.2024.10474843","DOIUrl":"https://doi.org/10.1109/icpc2t60072.2024.10474843","url":null,"abstract":"The increasing global demand for electricity underscores the need to transition from fossil fuels to sustainable alternatives like solar energy. Despite solar power's advantages of abundance, sustainability, and quiet operation, environmental factors such as temperature and irradiance affect the efficiency of photovoltaic (PV) systems. This study utilizes the Perturb and Observe (P&O) Maximum Power Point Tracking (MPPT) approach to optimize a PV panel, validated through a cost-effective Arduino-based hardware model. The approach integrates simulation and practical testing, offering insights into energy production variations under diverse conditions, with parameters continuously monitored and updated on a web server.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"25 6","pages":"781-786"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531117","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10474615
K. Halder, M. F. Orlando, R. S. Anand
The aim of this research work is to implement a trajectory tracking controller for a flexible needle within a tissue region, using a neural network-based approach. Initially, a kinematic model for steerable needle inside the tissue domain is considered based on a unicycle model while considering nonholonomic constraints. Subsequently, a neural network (NN) architecture based closed loop control strategy is implemented to track a desired trajectory on a specified plane. The efficacy of the developed controller is confirmed through simulation studies. Furthermore, a comparative study is conducted, involving a standard Proportional-Integral-Derivative (PID) controller, to demonstrate the efficacy of the proposed controller. The simulation outcomes demonstrate that the proposed control scheme outperforms the conventional PID approach.
{"title":"Trajectory Tracking Controller Design for Percutaneous Interventional Procedures","authors":"K. Halder, M. F. Orlando, R. S. Anand","doi":"10.1109/ICPC2T60072.2024.10474615","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10474615","url":null,"abstract":"The aim of this research work is to implement a trajectory tracking controller for a flexible needle within a tissue region, using a neural network-based approach. Initially, a kinematic model for steerable needle inside the tissue domain is considered based on a unicycle model while considering nonholonomic constraints. Subsequently, a neural network (NN) architecture based closed loop control strategy is implemented to track a desired trajectory on a specified plane. The efficacy of the developed controller is confirmed through simulation studies. Furthermore, a comparative study is conducted, involving a standard Proportional-Integral-Derivative (PID) controller, to demonstrate the efficacy of the proposed controller. The simulation outcomes demonstrate that the proposed control scheme outperforms the conventional PID approach.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"23 16","pages":"775-780"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531381","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 : 2024-01-18DOI: 10.1109/ICPC2T60072.2024.10474728
Gayatri S. Patil, Uma S. Patil, Priyanka P. Shinde
The global energy sector operates within a highly competitive market, necessitating uninterrupted power supply to industrial, commercial, and domestic sectors. Transformers serve a critical role in electricity transmission, emphasizing the importance of maintaining their performance to minimize losses. Dissolved Gas Analysis (DGA) emerges as a pivotal tool for monitoring transformer performance and identifying fault types in oil-immersed transformers. Despite the existence of several conventional DGA interpretation techniques, their accuracy has been subpar. This research paper presents a novel machine learning(ML) approach for predicting power transformer faults using DGA data. The proposed method leverages DGA samples sourced from the IEEE data port to train and test various machine learning models within the WEKA platform.
{"title":"Enhancing Power Transformer Reliability through Machine Learning-Based Fault Prediction Using Dissolved Gas Analysis","authors":"Gayatri S. Patil, Uma S. Patil, Priyanka P. Shinde","doi":"10.1109/ICPC2T60072.2024.10474728","DOIUrl":"https://doi.org/10.1109/ICPC2T60072.2024.10474728","url":null,"abstract":"The global energy sector operates within a highly competitive market, necessitating uninterrupted power supply to industrial, commercial, and domestic sectors. Transformers serve a critical role in electricity transmission, emphasizing the importance of maintaining their performance to minimize losses. Dissolved Gas Analysis (DGA) emerges as a pivotal tool for monitoring transformer performance and identifying fault types in oil-immersed transformers. Despite the existence of several conventional DGA interpretation techniques, their accuracy has been subpar. This research paper presents a novel machine learning(ML) approach for predicting power transformer faults using DGA data. The proposed method leverages DGA samples sourced from the IEEE data port to train and test various machine learning models within the WEKA platform.","PeriodicalId":518382,"journal":{"name":"2024 Third International Conference on Power, Control and Computing Technologies (ICPC2T)","volume":"2 4","pages":"72-76"},"PeriodicalIF":0.0,"publicationDate":"2024-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140531284","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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