Pub Date : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375697
Manish Prajapati, Nair.R Viju
Any power electronic equipment has a front end diode bridge rectifier which converts the AC line voltage to a constant DC voltage. But this front end converter draws peaky and highly distorted current from the grid, which invariably has high total harmonic distortion and very poor power factor. To overcome this problem of poor power factor and high distortion in the current waveform, several modifications in the diode bridge rectifier is proposed and the most popular among them is the boost power factor corrected rectifier. This paper discusses the control aspects of the single phase boost power factor corrected rectifier. Particularly, the design considerations involved in the dual loop control of boost power factor corrected rectifier, with inner inductor current control and outer voltage loop control is addressed and verified through simulation results.
{"title":"Design Considerations in the Control of Single Phase Boost Power Factor Corrected Rectifier for Utility Applications","authors":"Manish Prajapati, Nair.R Viju","doi":"10.1109/SeFet48154.2021.9375697","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375697","url":null,"abstract":"Any power electronic equipment has a front end diode bridge rectifier which converts the AC line voltage to a constant DC voltage. But this front end converter draws peaky and highly distorted current from the grid, which invariably has high total harmonic distortion and very poor power factor. To overcome this problem of poor power factor and high distortion in the current waveform, several modifications in the diode bridge rectifier is proposed and the most popular among them is the boost power factor corrected rectifier. This paper discusses the control aspects of the single phase boost power factor corrected rectifier. Particularly, the design considerations involved in the dual loop control of boost power factor corrected rectifier, with inner inductor current control and outer voltage loop control is addressed and verified through simulation results.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127095727","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375824
Shivani Mishra, R. Viral
In India there is shortage of 0.8% in peak power and 0.6% in overall energy. A considerable portion approx. 15% of population in India is without power. Resource augmentation and growth energy supply has not kept pace with increasing demand and therefore, India continuous to face serious energy shortages. There is a strong two-way relationship between economic development and energy consumption. Availability of adequate power in turn triggers growth and development in other related infrastructure. Besides this, it needs to focus on development of distribution sector. Power has been delivered to end consumers through wires and conductors if any fault occurs in the entire system the customer faces outages. It is extremely important to come out with new innovative processes, systems and methods which delivers better value to customers. To improve Indian scenario, where coal costs are increasing day by day which is impacting the domestic light tariff as well as commercial and industrial tariffs. To maintain the current tariff and provide the electricity to the consumer with proper reliability and economic viability, it needs to be focused on renewable energy. Installation of renewable power generation will be the key improvement of customer satisfaction. It will help to provide continuous power supply and help to maintain the grid frequency.
{"title":"Integration Phenomena of Renewable Energy with Contemplation of Issues from Electricity Distribution Utility and Consumer Perceptive","authors":"Shivani Mishra, R. Viral","doi":"10.1109/SeFet48154.2021.9375824","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375824","url":null,"abstract":"In India there is shortage of 0.8% in peak power and 0.6% in overall energy. A considerable portion approx. 15% of population in India is without power. Resource augmentation and growth energy supply has not kept pace with increasing demand and therefore, India continuous to face serious energy shortages. There is a strong two-way relationship between economic development and energy consumption. Availability of adequate power in turn triggers growth and development in other related infrastructure. Besides this, it needs to focus on development of distribution sector. Power has been delivered to end consumers through wires and conductors if any fault occurs in the entire system the customer faces outages. It is extremely important to come out with new innovative processes, systems and methods which delivers better value to customers. To improve Indian scenario, where coal costs are increasing day by day which is impacting the domestic light tariff as well as commercial and industrial tariffs. To maintain the current tariff and provide the electricity to the consumer with proper reliability and economic viability, it needs to be focused on renewable energy. Installation of renewable power generation will be the key improvement of customer satisfaction. It will help to provide continuous power supply and help to maintain the grid frequency.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127228812","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375773
Marius Alembong, I. Essiet, Yanxia Sun
A ceaseless supply of electricity is essential for all developmental sectors and even more important nowadays, as the globe evolves through a call for artificially intelligent systems in the fourth industrial revolution. Power interruptions lead to unpleasant human situations as well as great losses within all health, education, and industrial facilities requiring constant electricity. For this reason, we propose the design of an automatic transfer switch (ATS) for power transfer applications to maximize uptime. The ATS ensures the transfer of power between two power sources, hydroelectric and solar, during blackouts or power failures. The design is principally based on an Arduino Mega 2560, triacs, LEDs, as well as an LCD, SD card, Bluetooth, and GSM modules. The Arduino is powerful enough to support all the ATS modules and sustain the combined system processes required for the ATS’s automatic operation. Triacs, which are semiconductor switching devices, were utilized for high-speed switching between the two power supplies. The LEDs and LCD played a signalization role, indicating the state of the ATS at all times. Also, the SD card stores the system’s generated data whilst the Bluetooth modules ensure wireless connectivity between the ATS and a mobile device. The GSM module is for short messages (SMS). The results prove the functioning of the designed ATS, which ensures the transfer of power between two power sources with switching speeds less than 2.58 msec during blackouts or power failures. Furthermore, the ATS is a reliable, fast, and automatic system capable of protecting its internal components from surges. The proposed ATS is validated based on simulations, and the results show that the proposed ATS is promising.
不间断的电力供应对所有发展部门都至关重要，在当今世界，随着第四次工业革命对人工智能系统的呼唤，电力供应变得更加重要。电力中断会导致不愉快的人类状况，并给所有需要持续供电的卫生、教育和工业设施造成巨大损失。因此，我们建议设计一种用于电力传输应用的自动转换开关(ATS)，以最大限度地延长正常运行时间。ATS确保在停电或电力故障期间在水电和太阳能两种电源之间传输电力。该设计主要基于Arduino Mega 2560, triac, led以及LCD, SD卡，蓝牙和GSM模块。Arduino功能强大，足以支持ATS的所有模块，并维持ATS自动运行所需的组合系统进程。triac是一种半导体开关器件，用于两个电源之间的高速开关。led和LCD起到信号的作用，随时显示ATS的状态。此外，SD卡存储系统生成的数据，而蓝牙模块确保ATS与移动设备之间的无线连接。GSM模块主要用于发送短消息。实验结果证明了所设计的ATS的功能，在停电或断电情况下，可以保证两个电源之间的功率传输，切换速度小于2.58 msec。此外，ATS是一个可靠、快速和自动化的系统，能够保护其内部组件免受浪涌的影响。仿真结果表明，所提出的自动控制系统具有良好的应用前景。
{"title":"Swift Automatic Transfer Switch based on Arduino Mega 2560,Triacs Bluetooth and GSM","authors":"Marius Alembong, I. Essiet, Yanxia Sun","doi":"10.1109/SeFet48154.2021.9375773","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375773","url":null,"abstract":"A ceaseless supply of electricity is essential for all developmental sectors and even more important nowadays, as the globe evolves through a call for artificially intelligent systems in the fourth industrial revolution. Power interruptions lead to unpleasant human situations as well as great losses within all health, education, and industrial facilities requiring constant electricity. For this reason, we propose the design of an automatic transfer switch (ATS) for power transfer applications to maximize uptime. The ATS ensures the transfer of power between two power sources, hydroelectric and solar, during blackouts or power failures. The design is principally based on an Arduino Mega 2560, triacs, LEDs, as well as an LCD, SD card, Bluetooth, and GSM modules. The Arduino is powerful enough to support all the ATS modules and sustain the combined system processes required for the ATS’s automatic operation. Triacs, which are semiconductor switching devices, were utilized for high-speed switching between the two power supplies. The LEDs and LCD played a signalization role, indicating the state of the ATS at all times. Also, the SD card stores the system’s generated data whilst the Bluetooth modules ensure wireless connectivity between the ATS and a mobile device. The GSM module is for short messages (SMS). The results prove the functioning of the designed ATS, which ensures the transfer of power between two power sources with switching speeds less than 2.58 msec during blackouts or power failures. Furthermore, the ATS is a reliable, fast, and automatic system capable of protecting its internal components from surges. The proposed ATS is validated based on simulations, and the results show that the proposed ATS is promising.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124822263","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375798
Ch. Rami Reddy, K. Reddy, B. S. Goud, B. Pakkiraiah
The ever increasing demand of electricity leads to the advancement of Distributed Generation (DG). Almost the DG sources are renewable in nature. One of the major complications with high penetration of DG sources is islanding. The islanding may damage the clients and their equipment. As per the IEEE 1547 DG interconnection standards, the islanding will be identified in a period of two seconds and the DG must be turned off. In this paper an advanced islanding detection process stand on deep learning technique with Continuous Wavelet Transforms (CWT) and Convolution Neural Networks (CNN) is implemented. This approach basically transforms the time series information into scalogram images, later the images are used to train and to test the islanding and non islanding events. The outcomes are correlated with the Artificial Neural Networks (ANN) and Fuzzy logic methods. The comparison shows that the proposed deep learning approach efficiently detects the islanding and non islanding events.
{"title":"A Deep learning approach for Islanding Detection of Integrated DG with CWT and CNN","authors":"Ch. Rami Reddy, K. Reddy, B. S. Goud, B. Pakkiraiah","doi":"10.1109/SeFet48154.2021.9375798","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375798","url":null,"abstract":"The ever increasing demand of electricity leads to the advancement of Distributed Generation (DG). Almost the DG sources are renewable in nature. One of the major complications with high penetration of DG sources is islanding. The islanding may damage the clients and their equipment. As per the IEEE 1547 DG interconnection standards, the islanding will be identified in a period of two seconds and the DG must be turned off. In this paper an advanced islanding detection process stand on deep learning technique with Continuous Wavelet Transforms (CWT) and Convolution Neural Networks (CNN) is implemented. This approach basically transforms the time series information into scalogram images, later the images are used to train and to test the islanding and non islanding events. The outcomes are correlated with the Artificial Neural Networks (ANN) and Fuzzy logic methods. The comparison shows that the proposed deep learning approach efficiently detects the islanding and non islanding events.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115182701","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375743
Soumya Das, Kazi Jabed Akram, G. Biswal, T. Islam
This paper presents modelling and testing of an ultrasonic sensor for detection of SF6 gas leakage from vessels of gas insulated switchgears (GISs) with less than 0.5% margin. As per industry standard and practices, the desired level of gas leakage is to be kept below 0.5% per annum per in the SF6 gas vessel. Detection of gas density using acoustic signals was found suitable due to its good electrical properties in ideal gases. This unique arrangement helps in detection of gas leakage at ppmlevel where the live conductors and other electrical equipment inside the GIS are surrounded by Sulphur hexafluoride SF6 gas. Performances and stability of the ultrasonic sensor have been evaluated in presence of some influencing parameters such as pressure, temperature, molar mass, humidity. The cost effectiveness of the sensor is ensured because of its simple modelling and robust design.
{"title":"A High Precision Cost-effective Ultrasonic Sensor for Detection of Gas Leakage in Gas Insulated Switchgear","authors":"Soumya Das, Kazi Jabed Akram, G. Biswal, T. Islam","doi":"10.1109/SeFet48154.2021.9375743","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375743","url":null,"abstract":"This paper presents modelling and testing of an ultrasonic sensor for detection of SF6 gas leakage from vessels of gas insulated switchgears (GISs) with less than 0.5% margin. As per industry standard and practices, the desired level of gas leakage is to be kept below 0.5% per annum per in the SF6 gas vessel. Detection of gas density using acoustic signals was found suitable due to its good electrical properties in ideal gases. This unique arrangement helps in detection of gas leakage at ppmlevel where the live conductors and other electrical equipment inside the GIS are surrounded by Sulphur hexafluoride SF6 gas. Performances and stability of the ultrasonic sensor have been evaluated in presence of some influencing parameters such as pressure, temperature, molar mass, humidity. The cost effectiveness of the sensor is ensured because of its simple modelling and robust design.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116722515","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375687
Soumyajit Ghosh, D. Panda, Saptarshi Das, D. Chatterjee
Over the last few decades, residential electrical load classification and identification have been one of the most challenging research in the area of non-intrusive load monitoring (NILM) for home energy management system. The application of NILM technique in the smart grid has gained enormous attention in recent years. Several methods, including information from the given domains into NILM, have been proposed. Recently, among these methods, machine learning techniques are shown to be significantly better based on large-scale data for load monitoring. In this paper, machine learning techniques are utilized for residential load classification on novel cross-correlation based features, which are extracted from the synthetic time series data. We also present a t-distributed stochastic neighbour embedding (t SNE) based dimensionality reduction from the high dimensional feature set so that the classification can be implemented on a general-purpose microcontroller for near real-time monitoring. Our experimental results show that the extracted features are suitable for reliable identification and classification of different and the combination of residential loads.
{"title":"Cross-Correlation Based Classification of Electrical Appliances for Non-Intrusive Load Monitoring","authors":"Soumyajit Ghosh, D. Panda, Saptarshi Das, D. Chatterjee","doi":"10.1109/SeFet48154.2021.9375687","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375687","url":null,"abstract":"Over the last few decades, residential electrical load classification and identification have been one of the most challenging research in the area of non-intrusive load monitoring (NILM) for home energy management system. The application of NILM technique in the smart grid has gained enormous attention in recent years. Several methods, including information from the given domains into NILM, have been proposed. Recently, among these methods, machine learning techniques are shown to be significantly better based on large-scale data for load monitoring. In this paper, machine learning techniques are utilized for residential load classification on novel cross-correlation based features, which are extracted from the synthetic time series data. We also present a t-distributed stochastic neighbour embedding (t SNE) based dimensionality reduction from the high dimensional feature set so that the classification can be implemented on a general-purpose microcontroller for near real-time monitoring. Our experimental results show that the extracted features are suitable for reliable identification and classification of different and the combination of residential loads.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124548093","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375754
Uzair Javaid, B. Sikdar
Recent advancements in smart grids (SGs) have introduced Vehicle-to-Grid (V2G) networks as an emerging technology for electric power distribution networks. V2G provides more sophisticated energy trading by enabling bi-directional flow of electricity as well as communication channels between SGs and the electric vehicles (EVs). However, due to the huge daily volumes of trading data, the underlying V2G infrastructure suffers from scalability and security challenges. Therefore, new design principles are favorable to realize next generation of V2G networks. As distributed energy information networks are amongst the key desiderata of future power grids, the blockchain technology shows promising potential to facilitate decentralized power generation and local energy trading. Thus, we propose a framework that uses the distributed ledger and Public Key Infrastructure (PKI) of a blockchain with a dynamic Proof-of-Work (dPoW) consensus for secure V2G energy trading. The ledger functions to execute transactions and thereafter, log them in the blockchain. With PKI, an authentication mechanism for EVs is established, whereas dPoW supports varying mining difficulty levels for a high throughput rate. To demonstrate the feasibility of our framework, security and performance analyses are presented, where the designed framework has been realized to preserve the privacy of EVs, support minimal computational overhead, and facilitate scalability in V2G networks.
{"title":"A Lightweight and Secure Energy Trading Framework for Electric Vehicles","authors":"Uzair Javaid, B. Sikdar","doi":"10.1109/SeFet48154.2021.9375754","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375754","url":null,"abstract":"Recent advancements in smart grids (SGs) have introduced Vehicle-to-Grid (V2G) networks as an emerging technology for electric power distribution networks. V2G provides more sophisticated energy trading by enabling bi-directional flow of electricity as well as communication channels between SGs and the electric vehicles (EVs). However, due to the huge daily volumes of trading data, the underlying V2G infrastructure suffers from scalability and security challenges. Therefore, new design principles are favorable to realize next generation of V2G networks. As distributed energy information networks are amongst the key desiderata of future power grids, the blockchain technology shows promising potential to facilitate decentralized power generation and local energy trading. Thus, we propose a framework that uses the distributed ledger and Public Key Infrastructure (PKI) of a blockchain with a dynamic Proof-of-Work (dPoW) consensus for secure V2G energy trading. The ledger functions to execute transactions and thereafter, log them in the blockchain. With PKI, an authentication mechanism for EVs is established, whereas dPoW supports varying mining difficulty levels for a high throughput rate. To demonstrate the feasibility of our framework, security and performance analyses are presented, where the designed framework has been realized to preserve the privacy of EVs, support minimal computational overhead, and facilitate scalability in V2G networks.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129484889","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375652
Liya Tom, R. Ramanathan, G. Vakil, C. Gerada, A. McQueen
The popularity of synchronous generators over other power generating systems has dramatically increased over the last few decades. They are particularly important for applications that provides smooth excitation control and requires minimum maintenance. Brushless synchronous machines with a separate exciter is a good candidate in such cases, however, having a separate exciter machine introduces thermal difficulties and reduces the compactness of the system. To eliminate such limitations, this paper proposes a solution with a two-stage synchronous generator, where the exciter machine is integrated to the active and passive components of a wound-field synchronous generator. The methods considered and analysed in this work include, keeping the bore diameter identical for both the exciter machine and the main synchronous generator and integrating the exciter machine to a fan with 55 mm and 65 mm length. A more compact machine design with more than 40% reduction in the axial length was achieved, in conjunction with improved thermal management and increased power density.
{"title":"Analysis of Integration Options for A Two-Stage Synchronous Generator","authors":"Liya Tom, R. Ramanathan, G. Vakil, C. Gerada, A. McQueen","doi":"10.1109/SeFet48154.2021.9375652","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375652","url":null,"abstract":"The popularity of synchronous generators over other power generating systems has dramatically increased over the last few decades. They are particularly important for applications that provides smooth excitation control and requires minimum maintenance. Brushless synchronous machines with a separate exciter is a good candidate in such cases, however, having a separate exciter machine introduces thermal difficulties and reduces the compactness of the system. To eliminate such limitations, this paper proposes a solution with a two-stage synchronous generator, where the exciter machine is integrated to the active and passive components of a wound-field synchronous generator. The methods considered and analysed in this work include, keeping the bore diameter identical for both the exciter machine and the main synchronous generator and integrating the exciter machine to a fan with 55 mm and 65 mm length. A more compact machine design with more than 40% reduction in the axial length was achieved, in conjunction with improved thermal management and increased power density.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"7 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123723597","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375639
Sateesh Kumar kadala, Anil Kumar Rajagiri, A. R. Ajitha, Anil Kumar Thalluri
Existing distribution network is facing different challenges including power theft, over energy usage by residential loads, unbalanced loads on three phases. In this paper, an attempt is made to handle such disputes using Internet of Things (IoT), that helps power distribution companies to provide reliable and quality supply and to reduce losses occurring due to power theft. The developed system senses the power theft in a line by comparing current values at sending and receiving ends, if detected alerts the authorized personnel for necessary action. The system also measures the energy consumption of residential consumers and alerts the power supplier if it exceeds the contracted load allotted during open of service. In addition, it continuously monitors the related electrical parameters of each phase and attains the phase balance when any phase gets overloaded. The results obtained using the developed prototype proves the potential of emerging technologies to deal with afore mentioned challenges.
{"title":"Development of an IoT based solution for Smart Distribution Systems","authors":"Sateesh Kumar kadala, Anil Kumar Rajagiri, A. R. Ajitha, Anil Kumar Thalluri","doi":"10.1109/SeFet48154.2021.9375639","DOIUrl":"https://doi.org/10.1109/SeFet48154.2021.9375639","url":null,"abstract":"Existing distribution network is facing different challenges including power theft, over energy usage by residential loads, unbalanced loads on three phases. In this paper, an attempt is made to handle such disputes using Internet of Things (IoT), that helps power distribution companies to provide reliable and quality supply and to reduce losses occurring due to power theft. The developed system senses the power theft in a line by comparing current values at sending and receiving ends, if detected alerts the authorized personnel for necessary action. The system also measures the energy consumption of residential consumers and alerts the power supplier if it exceeds the contracted load allotted during open of service. In addition, it continuously monitors the related electrical parameters of each phase and attains the phase balance when any phase gets overloaded. The results obtained using the developed prototype proves the potential of emerging technologies to deal with afore mentioned challenges.","PeriodicalId":232560,"journal":{"name":"2021 International Conference on Sustainable Energy and Future Electric Transportation (SEFET)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121458258","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 : 2021-01-21DOI: 10.1109/SeFet48154.2021.9375684
Souvik Das, Bhim Singh
Rapid variations in weather condition or load profile, leads to high power ramp rate in a renewable energy sources (RESs) powered grid interactive microgrid. Such variations, often termed as the microgrid power ramp events (MPREs), burden the utility grid voltage and frequency regulations, and can even threaten the overall system stability. This paper presents the development of an active power management (APM) scheme, to limit the net output power ramp rate arising due to MPREs, using a battery energy storage (BES) in the wind-solar AC microgrid. The microgrid APM is carried out using a computationally efficient variable kernel width maximum correntropy criterion (VKW-MCC) adaptive filtering methodology. The charging/discharging of the BES during MPREs, is indirectly controlled through the grid side converter, based on a pre-determined positive and negative ramp rate limit (RRL). The feasibility and effectiveness of the APM scheme is verified through simulations in MATLAB platform.
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