Pub Date : 2020-11-27DOI: 10.1109/UPCON50219.2020.9376515
Neha Singh, Saurabh Kumar
This communication projects the antenna that offers circular polarization (CP) radiation over a broad range of frequency. The CP at lower frequency is obtained through the coupling of three L-shaped parasitic strips. The geometrical defect in the ground plane improves the impedance matching performance and excites the CP radiation at the upper- frequency range of the resulting frequency band. The 3 dB axial ratio bandwidth (ARBW) and impedance bandwidth (IBW) of the antenna is greatly improved by adding a short stub to the feed line. The size of the proposed antenna is 30×30 mm2. This antenna features a wide 3 dB axial ratio bandwidth of 94.55% (3-8.38 GHz) within -10 dB IBW of 118.95% (2.795-11 GHz).
这个交流项目的天线提供了圆偏振(CP)辐射在一个广泛的频率。低频下的CP是通过三个l型寄生条的耦合得到的。地平面的几何缺陷改善了阻抗匹配性能，激发了所得频带的上频段CP辐射。通过在馈线上增加短根，天线的3db轴比带宽(ARBW)和阻抗带宽(IBW)得到了极大的提高。该天线的尺寸为30×30 mm2。该天线在-10 dB IBW的118.95% (2.795-11 GHz)范围内具有94.55% (3-8.38 GHz)的宽3db轴比带宽。
{"title":"Miniaturized Broadband Circularly Polarized Slotted Ground Antenna with L-shaped Parasitic Strips","authors":"Neha Singh, Saurabh Kumar","doi":"10.1109/UPCON50219.2020.9376515","DOIUrl":"https://doi.org/10.1109/UPCON50219.2020.9376515","url":null,"abstract":"This communication projects the antenna that offers circular polarization (CP) radiation over a broad range of frequency. The CP at lower frequency is obtained through the coupling of three L-shaped parasitic strips. The geometrical defect in the ground plane improves the impedance matching performance and excites the CP radiation at the upper- frequency range of the resulting frequency band. The 3 dB axial ratio bandwidth (ARBW) and impedance bandwidth (IBW) of the antenna is greatly improved by adding a short stub to the feed line. The size of the proposed antenna is 30×30 mm2. This antenna features a wide 3 dB axial ratio bandwidth of 94.55% (3-8.38 GHz) within -10 dB IBW of 118.95% (2.795-11 GHz).","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122989303","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 : 2020-11-27DOI: 10.1109/UPCON50219.2020.9376518
F. Azam, Sunil Kumar, K. Yadav, Neeraj Priyadarshi, Sanjeevikumar Padmanaban
Vehicular Adhoc Network (VANET) has become one of the fast emerging technologies for information delivery due to its high demand in Intelligent Transportation System (ITS). VANET provides two categories of services viz. safety and entertainment during the movement of vehicles and hence improve the ride quality. However, VANETs are prone to several security challenges. In this paper, a review of possible security attacks and possible solution with future research direction has been presented.
{"title":"An Outline of the Security Challenges in VANET","authors":"F. Azam, Sunil Kumar, K. Yadav, Neeraj Priyadarshi, Sanjeevikumar Padmanaban","doi":"10.1109/UPCON50219.2020.9376518","DOIUrl":"https://doi.org/10.1109/UPCON50219.2020.9376518","url":null,"abstract":"Vehicular Adhoc Network (VANET) has become one of the fast emerging technologies for information delivery due to its high demand in Intelligent Transportation System (ITS). VANET provides two categories of services viz. safety and entertainment during the movement of vehicles and hence improve the ride quality. However, VANETs are prone to several security challenges. In this paper, a review of possible security attacks and possible solution with future research direction has been presented.","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127309904","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}
Epilepsy is a psychological issue that causes ridiculous, repetitive seizures. A seizure is an unexpected surge of electrical activity in the cerebrum. Since traditional time or recurrence, area examination is discovered insufficient to portray the qualities of non-fixed signals, for example, electroencephalography (EEG) signal. In this paper, we propose to change the EEG information utilizing Detrended Fluctuation Analysis, Singular Value Decomposition Entropy, Higuchi Fractal Dimension, and Petrosian Fractal Dimension works and plan vectors. These vectors are utilized as highlights for ten distinctive Machine Learning classifiers: Logistic Regression, Support Vector Classifier, Linear Support Vector Classifier, K Nearest Neighbors Classifier, Naive Bayes Classifier, Random Forest Classifier, Decision Tree Classifier, Stochastic Gradient Descent Classifier, Multilayer Perceptron Classifier, Gaussian Process Classifier, to group epileptic seizure starting from various parts and condition of the cerebrum. Our outcomes show that the proposed strategy gives better exactness, accuracy, and review in contrast with the current strategies for multiclass Epileptic Seizure Classification.
{"title":"A Comparative Assessment of Machine Learning Techniques for Epilepsy Detection using EEG Signal","authors":"Balan Dhanka, Ankit Vijayvargiya, Rajesh Kumar, Ghanshyam Singh","doi":"10.1109/UPCON50219.2020.9376567","DOIUrl":"https://doi.org/10.1109/UPCON50219.2020.9376567","url":null,"abstract":"Epilepsy is a psychological issue that causes ridiculous, repetitive seizures. A seizure is an unexpected surge of electrical activity in the cerebrum. Since traditional time or recurrence, area examination is discovered insufficient to portray the qualities of non-fixed signals, for example, electroencephalography (EEG) signal. In this paper, we propose to change the EEG information utilizing Detrended Fluctuation Analysis, Singular Value Decomposition Entropy, Higuchi Fractal Dimension, and Petrosian Fractal Dimension works and plan vectors. These vectors are utilized as highlights for ten distinctive Machine Learning classifiers: Logistic Regression, Support Vector Classifier, Linear Support Vector Classifier, K Nearest Neighbors Classifier, Naive Bayes Classifier, Random Forest Classifier, Decision Tree Classifier, Stochastic Gradient Descent Classifier, Multilayer Perceptron Classifier, Gaussian Process Classifier, to group epileptic seizure starting from various parts and condition of the cerebrum. Our outcomes show that the proposed strategy gives better exactness, accuracy, and review in contrast with the current strategies for multiclass Epileptic Seizure Classification.","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129166105","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 : 2020-11-27DOI: 10.1109/upcon50219.2020.9376423
A. K. Srivastava, A. N. Tiwari, S. Singh, Venkatesh Pampana, Markus Duchon
This paper presents the use of Modified Exact Model Order (MEMO) estimation technique for detecting number of modes present in a mixture of sinusoid and ESPRIT (Estimation of Signal Parameters via Rotational Invariance Technique) i.e. harmonic/Interharmonics frequency components present in a signal. With increase in number of semiconductor power electronic devices, a large increase in the harmonics/interharmonics injections has witnessed in the system. Accurate estimation of these harmonic/interharmonics components are very important for their mitigation as these can create a lot of problems. This paper shows the signals with harmonic as well as interharmonic components which can be generated from arcing loads, variable frequency drives, cycloconverters etc. and their accurate estimation using MEMO-ESPRIT method. The algorithm was modelled and analyzed in MATLAB and Python platforms. The results show that the harmonics/interharmonics could be detected accurately using this method.
{"title":"Harmonic Frequency Estimation with MEMO-ESPRIT Technique using MATLAB and Python","authors":"A. K. Srivastava, A. N. Tiwari, S. Singh, Venkatesh Pampana, Markus Duchon","doi":"10.1109/upcon50219.2020.9376423","DOIUrl":"https://doi.org/10.1109/upcon50219.2020.9376423","url":null,"abstract":"This paper presents the use of Modified Exact Model Order (MEMO) estimation technique for detecting number of modes present in a mixture of sinusoid and ESPRIT (Estimation of Signal Parameters via Rotational Invariance Technique) i.e. harmonic/Interharmonics frequency components present in a signal. With increase in number of semiconductor power electronic devices, a large increase in the harmonics/interharmonics injections has witnessed in the system. Accurate estimation of these harmonic/interharmonics components are very important for their mitigation as these can create a lot of problems. This paper shows the signals with harmonic as well as interharmonic components which can be generated from arcing loads, variable frequency drives, cycloconverters etc. and their accurate estimation using MEMO-ESPRIT method. The algorithm was modelled and analyzed in MATLAB and Python platforms. The results show that the harmonics/interharmonics could be detected accurately using this method.","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131586192","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 : 2020-11-27DOI: 10.1109/UPCON50219.2020.9376467
Rohini Sharma, Bhim Singh
The synchronization of a microgrid to the utility without power deviations/fluctuations is an important issue. To facilitate this implementation, the control strategy enhanced second-order generalized integrator open-loop compensator frequency locked loop (ESOGI-OLC-FLL) is used to meet the standards for connection to the grid. In this work, renewable energy sources (RES) based microgrid is proficient in eliminating the stirring current/voltage abnormalities due to phase/frequency misalignment throughout the changeover course. This microgrid combing solar PV (Photovoltaic) generation, wind generation using PMBLDCG (Permanent Magnet Brushless DC Generator) with storage system is working in both standalone and grid-connected modes while feeding local loads uninterruptedly. The implemented control takes into account estimation of load voltage respective phases of synchronization for secure and smooth synchronization of the microgrid but also estimates fundamental component of current for finding out reference grid current so as to provide power quality as per IEEE standard-519. The microgrid simulation is performed on Matlab 2015b/Simulink platform. Simulation results are compared with previously reported techniques, which reveal the efficiency and precision of the executed algorithm in regulating frequency and voltage of the microgrid under load and generation perturbation.
{"title":"ESOGI-OLCFLL Control Algorithm for Solar PV and PMBLDC Based Wind Generation Microgrid with Utility Synchronization","authors":"Rohini Sharma, Bhim Singh","doi":"10.1109/UPCON50219.2020.9376467","DOIUrl":"https://doi.org/10.1109/UPCON50219.2020.9376467","url":null,"abstract":"The synchronization of a microgrid to the utility without power deviations/fluctuations is an important issue. To facilitate this implementation, the control strategy enhanced second-order generalized integrator open-loop compensator frequency locked loop (ESOGI-OLC-FLL) is used to meet the standards for connection to the grid. In this work, renewable energy sources (RES) based microgrid is proficient in eliminating the stirring current/voltage abnormalities due to phase/frequency misalignment throughout the changeover course. This microgrid combing solar PV (Photovoltaic) generation, wind generation using PMBLDCG (Permanent Magnet Brushless DC Generator) with storage system is working in both standalone and grid-connected modes while feeding local loads uninterruptedly. The implemented control takes into account estimation of load voltage respective phases of synchronization for secure and smooth synchronization of the microgrid but also estimates fundamental component of current for finding out reference grid current so as to provide power quality as per IEEE standard-519. The microgrid simulation is performed on Matlab 2015b/Simulink platform. Simulation results are compared with previously reported techniques, which reveal the efficiency and precision of the executed algorithm in regulating frequency and voltage of the microgrid under load and generation perturbation.","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131708444","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 : 2020-11-27DOI: 10.1109/UPCON50219.2020.9376461
C. Lal, S. Sarangi, S. Mohanty, A. K. Singh
Distributed generation (DG) when added to distribution network has resulted in bidirectional power flow. Directional Over current relay used for detection of fault in Distribution network (DN) has limited performance due to changes in direction and magnitude of power flow due to the inclusion of DG. Hence, with increased penetration of DG, distance relays (DR) are applied for protection of the DN. However, the distance relay also suffers due to the combined effect of DG infeed and fault resistance. Under reaching effect of distance relay may cause a delayed operation if fault in zone 2 is cleared by the zone 3 and this will hamper the stability. In order to prevent under reaching of distance relays, an adaptive distance relaying protection for the distribution network considering the impact of fault resistance and intermediate sources infeed effect is proposed in this work. This paper discusses the Artificial Neural Network (ANN) as a suitable candidate for classification of various zones in adaptive distance protection in distribution network with distributed generations. The system has been simulated on DIgSILENT Power Factory environment and ANN based classification technique helps in detecting fault which may occur in different zones based on MATLAB toolbox.
{"title":"ANN Based Adaptive Mho Distance Protection in Distribution Network with Distributed Generations","authors":"C. Lal, S. Sarangi, S. Mohanty, A. K. Singh","doi":"10.1109/UPCON50219.2020.9376461","DOIUrl":"https://doi.org/10.1109/UPCON50219.2020.9376461","url":null,"abstract":"Distributed generation (DG) when added to distribution network has resulted in bidirectional power flow. Directional Over current relay used for detection of fault in Distribution network (DN) has limited performance due to changes in direction and magnitude of power flow due to the inclusion of DG. Hence, with increased penetration of DG, distance relays (DR) are applied for protection of the DN. However, the distance relay also suffers due to the combined effect of DG infeed and fault resistance. Under reaching effect of distance relay may cause a delayed operation if fault in zone 2 is cleared by the zone 3 and this will hamper the stability. In order to prevent under reaching of distance relays, an adaptive distance relaying protection for the distribution network considering the impact of fault resistance and intermediate sources infeed effect is proposed in this work. This paper discusses the Artificial Neural Network (ANN) as a suitable candidate for classification of various zones in adaptive distance protection in distribution network with distributed generations. The system has been simulated on DIgSILENT Power Factory environment and ANN based classification technique helps in detecting fault which may occur in different zones based on MATLAB toolbox.","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"1941 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129120822","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 : 2020-11-27DOI: 10.1109/UPCON50219.2020.9376516
Kalpana Singh, P. Gupta, Dinesh Chaurasia, V. K. Rao Kandanvli
This paper establishes improved criteria for exponential stability and H∞ performance of discrete-time delayed systems with external interference and generalized overflow nonlinearities. The presented approach ensures the exponential stability of system and diminishes the influence of external interference to H∞ level. The suitability of the criteria has been exemplified by examples.
{"title":"Stability of Discrete-Time Delayed Systems subject to External Interference and Generalized Overflow Nonlinearities","authors":"Kalpana Singh, P. Gupta, Dinesh Chaurasia, V. K. Rao Kandanvli","doi":"10.1109/UPCON50219.2020.9376516","DOIUrl":"https://doi.org/10.1109/UPCON50219.2020.9376516","url":null,"abstract":"This paper establishes improved criteria for exponential stability and H∞ performance of discrete-time delayed systems with external interference and generalized overflow nonlinearities. The presented approach ensures the exponential stability of system and diminishes the influence of external interference to H∞ level. The suitability of the criteria has been exemplified by examples.","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117354705","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 : 2020-11-27DOI: 10.1109/UPCON50219.2020.9376512
Nishant Gupta, Sainath Bitragunta
The explosive growth in high data rate applications has led to increased satellite communication systems and network energy requirements. Therefore, it is essential to design green or energy-efficient satellite communication links to utilize limited energy sources. In this paper, we consider the low earth orbit (LEO) satellite links and investigate energy efficiency optimization and energy efficiency-outage probability. Specifically, we obtain insightful inequalities for the end-to-end energy efficiency of satellite links. We then investigate the energy efficiency (EE) and outage probability based on EE. Considering typical LEO satellite link parameters, we numerically investigate its performance and determine optimal transmit power to achieve maximum energy efficiency. We believe that this study is useful for designing optimal green satellite communication links in low earth orbits.
{"title":"Green Satellite Communication Link Design, Optimization, and Performance Analysis","authors":"Nishant Gupta, Sainath Bitragunta","doi":"10.1109/UPCON50219.2020.9376512","DOIUrl":"https://doi.org/10.1109/UPCON50219.2020.9376512","url":null,"abstract":"The explosive growth in high data rate applications has led to increased satellite communication systems and network energy requirements. Therefore, it is essential to design green or energy-efficient satellite communication links to utilize limited energy sources. In this paper, we consider the low earth orbit (LEO) satellite links and investigate energy efficiency optimization and energy efficiency-outage probability. Specifically, we obtain insightful inequalities for the end-to-end energy efficiency of satellite links. We then investigate the energy efficiency (EE) and outage probability based on EE. Considering typical LEO satellite link parameters, we numerically investigate its performance and determine optimal transmit power to achieve maximum energy efficiency. We believe that this study is useful for designing optimal green satellite communication links in low earth orbits.","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115789966","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 : 2020-11-27DOI: 10.1109/UPCON50219.2020.9376460
P. Gupta, Kalpana Singh, V. K. Rao Kandanvli
Two sufficient stability conditions with the help of more relaxed improved finite-sum inequality to the stability analysis of delayed discrete-time systems exerting parameter uncertainties and generalized overflow nonlinearities are presented in this paper. The presented conditions are derived using Lyapunov function and are in the form of linear matrix inequalities. Eventually, numerical examples are used for proving the efficacy of the presented results.
{"title":"Further LMI conditions to the stability of the delayed discrete-time systems subject to generalized overflow nonlinearities and parameter uncertainties","authors":"P. Gupta, Kalpana Singh, V. K. Rao Kandanvli","doi":"10.1109/UPCON50219.2020.9376460","DOIUrl":"https://doi.org/10.1109/UPCON50219.2020.9376460","url":null,"abstract":"Two sufficient stability conditions with the help of more relaxed improved finite-sum inequality to the stability analysis of delayed discrete-time systems exerting parameter uncertainties and generalized overflow nonlinearities are presented in this paper. The presented conditions are derived using Lyapunov function and are in the form of linear matrix inequalities. Eventually, numerical examples are used for proving the efficacy of the presented results.","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114632602","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 : 2020-11-27DOI: 10.1109/UPCON50219.2020.9376470
Apoorva Sharma, S. Maurya, Surayanarayana Gangolu, Tripurari Nath Gupta
Islanding detection in the integrated power system is a challenging issue that may give rise to several protection and safety issues. Therefore, islanding detection in less time is necessary for efficient and reliable operation of the system. Hence, in this paper, a passive technique is being proposed to detect Islanding of Photovoltaic (PV) utility power system by using the Wavelet Transform (WT). In which, the criterion of the Rate of Change of Voltage (RCV) at PCC is used. The effectiveness of the proposed technique for integrated PV System is validated with several passive methods and it is found that it has zero Non-Detection Zone (NDZ) as this scheme has ability to detect the Islanding, even for zero power mismatch and in very less time. The technique is analyzed on the MATLAB/Simulink and validated under different operating conditions such as load switching, capacitor switching, fault and different power imbalance conditions. The obtained simulation results are fruitful and authenticated.
{"title":"Wavelet Transform based Passive Technique to Detect Islanding in PV Interactive Power System","authors":"Apoorva Sharma, S. Maurya, Surayanarayana Gangolu, Tripurari Nath Gupta","doi":"10.1109/UPCON50219.2020.9376470","DOIUrl":"https://doi.org/10.1109/UPCON50219.2020.9376470","url":null,"abstract":"Islanding detection in the integrated power system is a challenging issue that may give rise to several protection and safety issues. Therefore, islanding detection in less time is necessary for efficient and reliable operation of the system. Hence, in this paper, a passive technique is being proposed to detect Islanding of Photovoltaic (PV) utility power system by using the Wavelet Transform (WT). In which, the criterion of the Rate of Change of Voltage (RCV) at PCC is used. The effectiveness of the proposed technique for integrated PV System is validated with several passive methods and it is found that it has zero Non-Detection Zone (NDZ) as this scheme has ability to detect the Islanding, even for zero power mismatch and in very less time. The technique is analyzed on the MATLAB/Simulink and validated under different operating conditions such as load switching, capacitor switching, fault and different power imbalance conditions. The obtained simulation results are fruitful and authenticated.","PeriodicalId":192190,"journal":{"name":"2020 IEEE 7th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125282503","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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