Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774146
Y. Nassar, Samer Alsadi, H. El-khozondar, S. Refaat
Accurate solar radiation data is essential in designing, evaluating and optimizing solar energy systems. The meteorological recorded data is the mainly source of the solar irradiance data. Since solar irradiance incident on a specific tilted surface is not frequently recorded, the horizontal to tilted solar irradiation transposition models (HTTM) use to convert the measurable components of solar irradiation (global horizontal, sky-diffuse and ground reflected) to global tilted solar irradiation with high accuracy. The importance of the solar transposition model is in determining the optimum tilt angle of solar energy harvesters which is one of the important design parameters for maximizing solar radiation incident on the solar collectors. This paper introduces a statistical procedure to Figure out the transposition model that is closest to the real model in the MENA region without needs for measured data. Also it provided a summary of optimum tilt angles and transposition models that recommended by local researchers for specific locations in MENA region. This study showed that the transposition models depend on the angle of inclination of the solar collector in addition to the location. The study identified models with deviation rates about 3% for most cities, which is an engineering reasonable percentage, and this encourages the authors to recommend this approach to determine more accurate transposition models for wider regions of the world. On the other hand, it showed that all models failed to achieve an acceptable deviation rate for high tilt angles especially vertical surfaces, which have great engineering applications. The authors advise researchers to take care when adopting a transposition model that has been validated at low tilt angles to apply it to high tilt angles and building façaades. The study is also reveal that, the reduction in total annual global solar irradiation is not exceed than 1% due to the offset of tilt angle from the optimum angle for all considered transposition models and for all sites.
{"title":"Determination of the Most Accurate Horizontal to Tilted Sky-Diffuse Solar Irradiation Transposition Model for the Capital Cities in MENA Region","authors":"Y. Nassar, Samer Alsadi, H. El-khozondar, S. Refaat","doi":"10.1109/SGRE53517.2022.9774146","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774146","url":null,"abstract":"Accurate solar radiation data is essential in designing, evaluating and optimizing solar energy systems. The meteorological recorded data is the mainly source of the solar irradiance data. Since solar irradiance incident on a specific tilted surface is not frequently recorded, the horizontal to tilted solar irradiation transposition models (HTTM) use to convert the measurable components of solar irradiation (global horizontal, sky-diffuse and ground reflected) to global tilted solar irradiation with high accuracy. The importance of the solar transposition model is in determining the optimum tilt angle of solar energy harvesters which is one of the important design parameters for maximizing solar radiation incident on the solar collectors. This paper introduces a statistical procedure to Figure out the transposition model that is closest to the real model in the MENA region without needs for measured data. Also it provided a summary of optimum tilt angles and transposition models that recommended by local researchers for specific locations in MENA region. This study showed that the transposition models depend on the angle of inclination of the solar collector in addition to the location. The study identified models with deviation rates about 3% for most cities, which is an engineering reasonable percentage, and this encourages the authors to recommend this approach to determine more accurate transposition models for wider regions of the world. On the other hand, it showed that all models failed to achieve an acceptable deviation rate for high tilt angles especially vertical surfaces, which have great engineering applications. The authors advise researchers to take care when adopting a transposition model that has been validated at low tilt angles to apply it to high tilt angles and building façaades. The study is also reveal that, the reduction in total annual global solar irradiation is not exceed than 1% due to the offset of tilt angle from the optimum angle for all considered transposition models and for all sites.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"74 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76229033","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774192
Paulisimone Rasoavonjy, Tovondahiniriko Fanjirindratovo, O. Chau, Olga Ramiarinjanahary, Sylvain Dotti
In off-grid areas, successful use of intermittent renewable energy sources requires optimal management of power consumption. Our experimental site is the “Cirque de Mafate” on Reunion Island. Our laboratory has developed a mixed integer linear programming model which minimizes the electricity consumption of a cluster of houses. This model is deterministic. Our study focuses on the stochastic part, it aims to model, optimize and simulate the stochastic operation of an autonomous microgrid by mutualizing production and storage resources. A study for the solar resource forecasting is performed, using nonparametric methods for the estimation of probability density functions. Indeed, the prediction of the intermittent resource and the combination of production sources are the keys to the good functioning of a microgrid in autonomous mode. Three neighbouring houses are concerned. The experimentation at the scale of a house has already been performed and the results proved the performance of the system under random constraints. This paper presents the results of an experimentation for two houses. One of the strategies adopted is to aim for auto-consumption for three days if the solar forecast is pessimistic, a part of the energy is then reserved at the battery level for the following two days. The results allow to assess the performance of the system in front of random constraints and to make decisions.
{"title":"Stochastic simulations of the optimal control of a stand alone microgrid at the scale of two houses","authors":"Paulisimone Rasoavonjy, Tovondahiniriko Fanjirindratovo, O. Chau, Olga Ramiarinjanahary, Sylvain Dotti","doi":"10.1109/SGRE53517.2022.9774192","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774192","url":null,"abstract":"In off-grid areas, successful use of intermittent renewable energy sources requires optimal management of power consumption. Our experimental site is the “Cirque de Mafate” on Reunion Island. Our laboratory has developed a mixed integer linear programming model which minimizes the electricity consumption of a cluster of houses. This model is deterministic. Our study focuses on the stochastic part, it aims to model, optimize and simulate the stochastic operation of an autonomous microgrid by mutualizing production and storage resources. A study for the solar resource forecasting is performed, using nonparametric methods for the estimation of probability density functions. Indeed, the prediction of the intermittent resource and the combination of production sources are the keys to the good functioning of a microgrid in autonomous mode. Three neighbouring houses are concerned. The experimentation at the scale of a house has already been performed and the results proved the performance of the system under random constraints. This paper presents the results of an experimentation for two houses. One of the strategies adopted is to aim for auto-consumption for three days if the solar forecast is pessimistic, a part of the energy is then reserved at the battery level for the following two days. The results allow to assess the performance of the system in front of random constraints and to make decisions.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"8 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80124332","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774105
H. Maheri, D. Vinnikov, A. Chub
Focus is on the boundary conduction mode (BCM) operation of the quasi-Z-source isolated buck-boost converter (qZS-IBBC). BCM control is applied to the buck and boost modes independently and by different methods. The operating principle and control of the converter in both modes are analyzed. BCM control for the performance improvement of the converter is evaluated by theoretical analysis. It was found that the efficiency and performance of the converter can be improved in both modes. In the buck mode, BCM control improves the efficiency by reducing conduction losses; in the boost mode, the performance is enhanced by improving switching losses. Finally, a 300 W prototype is tested to validate the concept for effectiveness and correctness.
{"title":"Application of Boundary Conduction Mode Control in Galvanically Isolated Buck-Boost Converter","authors":"H. Maheri, D. Vinnikov, A. Chub","doi":"10.1109/SGRE53517.2022.9774105","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774105","url":null,"abstract":"Focus is on the boundary conduction mode (BCM) operation of the quasi-Z-source isolated buck-boost converter (qZS-IBBC). BCM control is applied to the buck and boost modes independently and by different methods. The operating principle and control of the converter in both modes are analyzed. BCM control for the performance improvement of the converter is evaluated by theoretical analysis. It was found that the efficiency and performance of the converter can be improved in both modes. In the buck mode, BCM control improves the efficiency by reducing conduction losses; in the boost mode, the performance is enhanced by improving switching losses. Finally, a 300 W prototype is tested to validate the concept for effectiveness and correctness.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"66 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85068680","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774117
Samantha Stephen, H. Shareef, R. Errouissi, K. Phani Kiranmai
This paper presents a disturbance observer-based control (DOBC) for three-phase inverters operating in autonomous mode. The controller design targets the regulation of the output voltage during transient conditions induced by internal uncertainties and external influences. The controller scheme combines Feedback Linearized (FL) controller with a Disturbance Observer (DO) to achieve dual objectives of disturbance attenuation and integral control action. The performance of the above controller is tested via simulation for scenarios such as abrupt load variations and parametric uncertainties. The test results have demonstrated excellent disturbance attenuation to achieve desired transient response under the tested scenarios. Furthermore, its performance when supplying non-linear loads is assessed. The controllercan produce a sinusoidal output voltage with reduced THD that complies with IEC62040 standards.
{"title":"Disturbance Observer-Based Feedback Linearization Control for Three-Phase Power Inverters in Autonomous Mode of Operation","authors":"Samantha Stephen, H. Shareef, R. Errouissi, K. Phani Kiranmai","doi":"10.1109/SGRE53517.2022.9774117","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774117","url":null,"abstract":"This paper presents a disturbance observer-based control (DOBC) for three-phase inverters operating in autonomous mode. The controller design targets the regulation of the output voltage during transient conditions induced by internal uncertainties and external influences. The controller scheme combines Feedback Linearized (FL) controller with a Disturbance Observer (DO) to achieve dual objectives of disturbance attenuation and integral control action. The performance of the above controller is tested via simulation for scenarios such as abrupt load variations and parametric uncertainties. The test results have demonstrated excellent disturbance attenuation to achieve desired transient response under the tested scenarios. Furthermore, its performance when supplying non-linear loads is assessed. The controllercan produce a sinusoidal output voltage with reduced THD that complies with IEC62040 standards.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"18 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83468468","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774206
Elis Nycander, G. Morales-España, L. Söder
This paper presents power-based unit commitment (UC) formulations with N-l security constraints. Two different formulations are proposed, one with constant reserves within the hour and one with time-varying reserves. The formulations are compared to a conventional energy-based UC formulation using different examples. We show that the energy-based formulation does not ensure N-l security at all times within the hour, since it does not account for the power profile of units. In contrast, the proposed power-based formulations guarantee N-l security within the whole hour for a piecewise linear demand profile. The formulations are also evaluated using a 5-min economic dispatch based on a real load profile, simulating the real-time operation of the power system, showing that the power-based formulations also provide increased security in this case. Compared to using a power-based formulation with constant reserves, using time-varying reserves decreases the reserve cost while ensuring a similar level of security.
{"title":"Reserve Formulations for Power-Based Unit Commitment with N-1 Security","authors":"Elis Nycander, G. Morales-España, L. Söder","doi":"10.1109/SGRE53517.2022.9774206","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774206","url":null,"abstract":"This paper presents power-based unit commitment (UC) formulations with N-l security constraints. Two different formulations are proposed, one with constant reserves within the hour and one with time-varying reserves. The formulations are compared to a conventional energy-based UC formulation using different examples. We show that the energy-based formulation does not ensure N-l security at all times within the hour, since it does not account for the power profile of units. In contrast, the proposed power-based formulations guarantee N-l security within the whole hour for a piecewise linear demand profile. The formulations are also evaluated using a 5-min economic dispatch based on a real load profile, simulating the real-time operation of the power system, showing that the power-based formulations also provide increased security in this case. Compared to using a power-based formulation with constant reserves, using time-varying reserves decreases the reserve cost while ensuring a similar level of security.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"35 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83800564","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774050
Maymouna Ezeddin, A. Albaseer, M. Abdallah, S. Bayhan, M. Qaraqe, S. Al-Kuwari
This paper investigates the problem of electricity theft attacks in the generation domain. In this attack, the adversaries aim to manipulate readings to claim higher energy injected into the grid for overcharging utility companies by hacking smart meters monitoring renewable-based distributed generation. In prior research, deep learning (DL) based detectors were developed to detect such behavior, though they relied on different data sources and overlooked the critical impact of small perturbations which an attacker could integrate into its reported energy. This paper takes advantage of addressing this gap by proposing an efficient DL-based detector that can offer much higher accuracy and detection rate using only a single source of data by adding two features to enhance the performance. Subsequently, the proposed detector is further extended to cope with the small perturbations that attackers can add. We carry out extensive simulation using realistic data sets, and the results show that the proposed models detect the adversaries with higher rate detection even with small perturbations.
{"title":"Efficient Deep Learning Based Detector for Electricity Theft Generation System Attacks in Smart Grid","authors":"Maymouna Ezeddin, A. Albaseer, M. Abdallah, S. Bayhan, M. Qaraqe, S. Al-Kuwari","doi":"10.1109/SGRE53517.2022.9774050","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774050","url":null,"abstract":"This paper investigates the problem of electricity theft attacks in the generation domain. In this attack, the adversaries aim to manipulate readings to claim higher energy injected into the grid for overcharging utility companies by hacking smart meters monitoring renewable-based distributed generation. In prior research, deep learning (DL) based detectors were developed to detect such behavior, though they relied on different data sources and overlooked the critical impact of small perturbations which an attacker could integrate into its reported energy. This paper takes advantage of addressing this gap by proposing an efficient DL-based detector that can offer much higher accuracy and detection rate using only a single source of data by adding two features to enhance the performance. Subsequently, the proposed detector is further extended to cope with the small perturbations that attackers can add. We carry out extensive simulation using realistic data sets, and the results show that the proposed models detect the adversaries with higher rate detection even with small perturbations.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"114 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88122842","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774128
Elie Hleihel, M. Fadel, H. Kanaan
Nowadays, microgrid applications are proliferate all around the world. Owing to many grounds, such the ease of control, the high efficiency and reliability, the improvement of power electronics devices, the rise of DC type loads and sources, etc. researchers’ interest was diverted from AC to DC microgrids. Yet, on a global control and management level, several challenges are confronted. A variety of objectives can be achieved by controlling the power flow of each of the distributed energy sources. By means of this, an optimization problem is formulated and solved using heuristic methods such the genetic algorithm (GA), the particle swarm optimization (PSO), the pattern search (PS), etc. However, other techniques were exploited in the literature such the dynamic programming (DP) which is a stepby-step optimization algorithm. In this paper, a (DP) technique is applied to solve a multi-objective optimization problem. Two objectives are set: DC microgrid operation cost minimization, and pollutant gas emissions reduction. A sole cost function is established, and weights are assigned to each of the predefined goals. Besides, each objective function is detailed apart, and several constrains are set. Two simulations tests are performed to prove the convergence, and the viability of the applied (DP) technique. Finally, different weights are selected in each of simulation tests to validate the effectiveness, and robustness of the (DP) in solving such problems.
{"title":"Multi-objective Optimization of a DC Microgrid with a Back-up Diesel Generator","authors":"Elie Hleihel, M. Fadel, H. Kanaan","doi":"10.1109/SGRE53517.2022.9774128","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774128","url":null,"abstract":"Nowadays, microgrid applications are proliferate all around the world. Owing to many grounds, such the ease of control, the high efficiency and reliability, the improvement of power electronics devices, the rise of DC type loads and sources, etc. researchers’ interest was diverted from AC to DC microgrids. Yet, on a global control and management level, several challenges are confronted. A variety of objectives can be achieved by controlling the power flow of each of the distributed energy sources. By means of this, an optimization problem is formulated and solved using heuristic methods such the genetic algorithm (GA), the particle swarm optimization (PSO), the pattern search (PS), etc. However, other techniques were exploited in the literature such the dynamic programming (DP) which is a stepby-step optimization algorithm. In this paper, a (DP) technique is applied to solve a multi-objective optimization problem. Two objectives are set: DC microgrid operation cost minimization, and pollutant gas emissions reduction. A sole cost function is established, and weights are assigned to each of the predefined goals. Besides, each objective function is detailed apart, and several constrains are set. Two simulations tests are performed to prove the convergence, and the viability of the applied (DP) technique. Finally, different weights are selected in each of simulation tests to validate the effectiveness, and robustness of the (DP) in solving such problems.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"43 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88418371","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774119
K. Scott, S. Khatri, A. Ghrayeb
In a smart grid, there is much sensitive data that must be transmitted continually. This requires secure communication protocols that are well-suited for use in a smart grid context. A typical smart grid is composed of many agents - like smart meters and control centers - and hence it is necessary that its communication protocols not only are cryptographically secure, but also fast and lightweight. In this paper, we perform formal verification on a novel secure communication protocol to be used in a smart grid. In each protocol iteration, the two parties that wish to communicate will exchange authentication tokens to establish trust and generate session keys. The authentication tokens have three key features: (1) each token is constructed using multiple factors, preventing a single point of failure, (2) the factors are updated dynamically during every protocol iteration, ensuring that authentication keys potentially snooped by an attacker are never reused, and (3) factor updates utilize a True Random Number Generator (TRNG), and therefore cannot be deterministically or algorithmically predicted. This paper describes the protocol as implemented between two arbitrary agents in a smart grid. We realize the protocol in software, and formally verify the protocol using ProVerif. Our results demonstrate that our protocol is a secure and lightweight communication protocol that would be suitable for use in a smart grid.
{"title":"Formal Verification of a Dynamic Multi-factor Secure Communication Protocol","authors":"K. Scott, S. Khatri, A. Ghrayeb","doi":"10.1109/SGRE53517.2022.9774119","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774119","url":null,"abstract":"In a smart grid, there is much sensitive data that must be transmitted continually. This requires secure communication protocols that are well-suited for use in a smart grid context. A typical smart grid is composed of many agents - like smart meters and control centers - and hence it is necessary that its communication protocols not only are cryptographically secure, but also fast and lightweight. In this paper, we perform formal verification on a novel secure communication protocol to be used in a smart grid. In each protocol iteration, the two parties that wish to communicate will exchange authentication tokens to establish trust and generate session keys. The authentication tokens have three key features: (1) each token is constructed using multiple factors, preventing a single point of failure, (2) the factors are updated dynamically during every protocol iteration, ensuring that authentication keys potentially snooped by an attacker are never reused, and (3) factor updates utilize a True Random Number Generator (TRNG), and therefore cannot be deterministically or algorithmically predicted. This paper describes the protocol as implemented between two arbitrary agents in a smart grid. We realize the protocol in software, and formally verify the protocol using ProVerif. Our results demonstrate that our protocol is a secure and lightweight communication protocol that would be suitable for use in a smart grid.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"4 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75862089","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774113
M. Saleh, S. Refaat, S. Khatri, A. Ghrayeb
Due to high electric stresses in power equipment, insulation degradation has been prevalent as a result of increased PD exposure. In this paper, we study different machine learning (ML) methods for the detection and classification of partial discharges (PDs) for assessing the reliability of insulation systems. We introduce and examine a set of features using selected machine learning-based algorithms. The aim is to detect and classify PDs transpiring within insulation systems. Therefore, this paper presents tools to detect defects using suitable PD sensors and Machine Learning algorithms to facilitate diagnostics and enhance isolation system design. Experiments are being conducted on several voids in the insulator with varying shapes and sizes. A PD sensor is used for detecting the PDs taking place. Due to the presence of noise and other external interferences, appropriate filters and denoising methods are implemented. After that, the relevant PD features, such as the PD magnitude, PD repetition rate, statistical features, wavelet features, etc., are extracted. This study attempts to emphasize the importance of classifying the type of defect, as this will allow engineers to determine the severity of the fault taking place, and take the proper countermeasures.
{"title":"Detection and Classification of Defects in XLPE Power Cable Insulation via Machine Learning Algorithms","authors":"M. Saleh, S. Refaat, S. Khatri, A. Ghrayeb","doi":"10.1109/SGRE53517.2022.9774113","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774113","url":null,"abstract":"Due to high electric stresses in power equipment, insulation degradation has been prevalent as a result of increased PD exposure. In this paper, we study different machine learning (ML) methods for the detection and classification of partial discharges (PDs) for assessing the reliability of insulation systems. We introduce and examine a set of features using selected machine learning-based algorithms. The aim is to detect and classify PDs transpiring within insulation systems. Therefore, this paper presents tools to detect defects using suitable PD sensors and Machine Learning algorithms to facilitate diagnostics and enhance isolation system design. Experiments are being conducted on several voids in the insulator with varying shapes and sizes. A PD sensor is used for detecting the PDs taking place. Due to the presence of noise and other external interferences, appropriate filters and denoising methods are implemented. After that, the relevant PD features, such as the PD magnitude, PD repetition rate, statistical features, wavelet features, etc., are extracted. This study attempts to emphasize the importance of classifying the type of defect, as this will allow engineers to determine the severity of the fault taking place, and take the proper countermeasures.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"56 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79258542","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774038
Amira Mohammed, Gibin George
Smart grid (SG) is considered the next generation of the traditional power grid. It is mainly divided into three main infrastructures: power system, information and communication infrastructures. Cybersecurity is imperative for information infrastructure and the secure, reliable, and efficient operation of the smart grid. Cybersecurity or a lack of proper implementation thereof poses a considerable challenge to the deployment of SG. Therefore, in this paper, A comprehensive survey of cyber security is presented in the smart grid context. Cybersecurity-related information infrastructure is clarified. The impact of adopting cybersecurity on control and management systems has been discussed. Also, the paper highlights the cybersecurity issues and challenges associated with the control decisions in the smart grid.
{"title":"Vulnerabilities and Strategies of Cybersecurity in Smart Grid - Evaluation and Review","authors":"Amira Mohammed, Gibin George","doi":"10.1109/SGRE53517.2022.9774038","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774038","url":null,"abstract":"Smart grid (SG) is considered the next generation of the traditional power grid. It is mainly divided into three main infrastructures: power system, information and communication infrastructures. Cybersecurity is imperative for information infrastructure and the secure, reliable, and efficient operation of the smart grid. Cybersecurity or a lack of proper implementation thereof poses a considerable challenge to the deployment of SG. Therefore, in this paper, A comprehensive survey of cyber security is presented in the smart grid context. Cybersecurity-related information infrastructure is clarified. The impact of adopting cybersecurity on control and management systems has been discussed. Also, the paper highlights the cybersecurity issues and challenges associated with the control decisions in the smart grid.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"63 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80756550","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：