Pub Date : 2022-01-01DOI: 10.5455/jjee.204-1653115709
A. Sezavar, H. Farsi, S. Mohamadzadeh
Detecting same people in different surveillance cameras, named person re-identification, has become a challenging and critical task in image processing. Since surveillance images usually have low resolution and different viewpoints, matching persons on them is still difficult. In this paper, a proposed method for person re-identification is introduced based on exploring similarity in different depth layers of convolutional neural network (CNN). To this end, after determining each person as a category for training CNN, optimum filters are obtained to find the best discriminative feature maps based on them. Smoothed discriminative features (SDF) are defined to compute similarity between persons. Experimental results, performed on CUHK01 database, demonstrate that the proposed method outperforms state-of-the-art feature extraction methods for person re-identification.
{"title":"Multi-Depth Deep Similarity Learning for Person Re-Identification","authors":"A. Sezavar, H. Farsi, S. Mohamadzadeh","doi":"10.5455/jjee.204-1653115709","DOIUrl":"https://doi.org/10.5455/jjee.204-1653115709","url":null,"abstract":"Detecting same people in different surveillance cameras, named person re-identification, has become a challenging and critical task in image processing. Since surveillance images usually have low resolution and different viewpoints, matching persons on them is still difficult. In this paper, a proposed method for person re-identification is introduced based on exploring similarity in different depth layers of convolutional neural network (CNN). To this end, after determining each person as a category for training CNN, optimum filters are obtained to find the best discriminative feature maps based on them. Smoothed discriminative features (SDF) are defined to compute similarity between persons. Experimental results, performed on CUHK01 database, demonstrate that the proposed method outperforms state-of-the-art feature extraction methods for person re-identification.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822189","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 : 2022-01-01DOI: 10.5455/jjee.204-1636958206
A. Jawahar, K. Ramakrishnan
Open channel communication is a major prerequisite for next generation power networks in which time delays are inevitable. Due to unforeseen variations in the load demand, the mismatch between power generation and demand occurs. If this situation is not properly tackled, it may induce some unintended consequences like fluctuations in the tie-line power and system frequency which are highly undesirable. To ensure grid reliability, the frequency should always stay within its stipulated range. This is accomplished by load frequency control (LFC) technique. In networked LFC systems, load frequency regulation signals are transferred via communication networks, causing time delays in the feedback paths that can destabilize the power grid. As a consequence, for ensuring stability, the stable delay margin must, therefore, be determined. In this paper, the delay-dependent stability problem of two area LFC systems combined with electric vehicle aggregator (EVA) is addressed. The conducted Lyapunov based analysis yields a stable delay margin within which the closed loop system remains asymptotically stable. Moreover, the analytical delay margin values are validated using the simulation studies. In the sequel, the effect of participating factors on the system stability is also investigated.
{"title":"Impact of Time Delay Margin on the Stability of Load Frequency Systems with Electric Vehicle Aggregator","authors":"A. Jawahar, K. Ramakrishnan","doi":"10.5455/jjee.204-1636958206","DOIUrl":"https://doi.org/10.5455/jjee.204-1636958206","url":null,"abstract":"Open channel communication is a major prerequisite for next generation power networks in which time delays are inevitable. Due to unforeseen variations in the load demand, the mismatch between power generation and demand occurs. If this situation is not properly tackled, it may induce some unintended consequences like fluctuations in the tie-line power and system frequency which are highly undesirable. To ensure grid reliability, the frequency should always stay within its stipulated range. This is accomplished by load frequency control (LFC) technique. In networked LFC systems, load frequency regulation signals are transferred via communication networks, causing time delays in the feedback paths that can destabilize the power grid. As a consequence, for ensuring stability, the stable delay margin must, therefore, be determined. In this paper, the delay-dependent stability problem of two area LFC systems combined with electric vehicle aggregator (EVA) is addressed. The conducted Lyapunov based analysis yields a stable delay margin within which the closed loop system remains asymptotically stable. Moreover, the analytical delay margin values are validated using the simulation studies. In the sequel, the effect of participating factors on the system stability is also investigated.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821967","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 : 2022-01-01DOI: 10.5455/jjee.204-1642106587
Hosein Rayat, R. Dastanian
In this work, a fully MOSFET voltage reference (FMVR) circuit with a current consumption of 7.6 nA and a supply voltage of 1 V is proposed. To generate the complementary to absolute temperature (CTAT) voltage, the voltage of a PN junction generated by a PMOS transistor - which is part of the bias circuit - is used. Generation of proportional to absolute temperature (PTAT) voltage is carried-out by utilizing three stages of self-cascode transistors biased in the sub-threshold region. A fraction of the CTAT voltage is added to the PTAT voltage without using an additional circuit to enable acquiring an output reference voltage of about 0.648 V with minimal temperature dependence. The proposed voltage reference is simulated in 0.18 μm of CMOS process and its area occupation is 0.0023 mm2. The obtained post-layout simulation results demonstrate that the proposed FMVR has a temperature coefficient equivalent to 12.9 ppm/°C under the temperature variation from -25 °C to 120 °C. Moreover, the line regulation under supply voltage variation from 0.9 V to 2 V is found to be equal to 0.02 %/V, and a power supply rejection ratio of 44 dB is acquired. Comparing the main parameters of the proposed FMVR - to the state-of-the-art circuits - shows that it has higher efficiency with smaller area and lower power consumption.
{"title":"A Fully MOSFET Voltage Reference with Low Power Consumption and High Power Supply Rejection Ratio for IoT Microsystems","authors":"Hosein Rayat, R. Dastanian","doi":"10.5455/jjee.204-1642106587","DOIUrl":"https://doi.org/10.5455/jjee.204-1642106587","url":null,"abstract":"In this work, a fully MOSFET voltage reference (FMVR) circuit with a current consumption of 7.6 nA and a supply voltage of 1 V is proposed. To generate the complementary to absolute temperature (CTAT) voltage, the voltage of a PN junction generated by a PMOS transistor - which is part of the bias circuit - is used. Generation of proportional to absolute temperature (PTAT) voltage is carried-out by utilizing three stages of self-cascode transistors biased in the sub-threshold region. A fraction of the CTAT voltage is added to the PTAT voltage without using an additional circuit to enable acquiring an output reference voltage of about 0.648 V with minimal temperature dependence. The proposed voltage reference is simulated in 0.18 μm of CMOS process and its area occupation is 0.0023 mm2. The obtained post-layout simulation results demonstrate that the proposed FMVR has a temperature coefficient equivalent to 12.9 ppm/°C under the temperature variation from -25 °C to 120 °C. Moreover, the line regulation under supply voltage variation from 0.9 V to 2 V is found to be equal to 0.02 %/V, and a power supply rejection ratio of 44 dB is acquired. Comparing the main parameters of the proposed FMVR - to the state-of-the-art circuits - shows that it has higher efficiency with smaller area and lower power consumption.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822015","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 : 2022-01-01DOI: 10.5455/jjee.204-1644676329
Luqman Ahsan, M. Iqbal
This paper presents the optimized design, economic feasibility and dynamic modeling of a grid-tied captive hybrid renewable energy power plant for a Pakistani industrial area. Since the proposed plant, encompasses a photovoltaic (PV) array - as its main component - and for an efficient and reliable operation many issues - including industrial load variations and expected dynamics - should be investigated before its implementation. In this context, Homer Pro software is utilized in the design and economic optimized sizing of the PV array, and the PVWatts is used in land requirement analysis. The designed grid-tied plant is modeled in the MATLAB/Simulink using Simscape blocksets to investigate the plant’s dynamic behavior due to typical practical disturbances. The obtained results reveal that the plant has a low per-unit energy cost and provides significant savings. Results of dynamic simulation show that the plant can respond to the ramp-up and ramp-down load variations in industrial settings. Moreover, the plant has a fast response to step changes in irradiance; proving that the proposed plant is reliable and suitable candidate for fulfilling the designated load.
{"title":"Dynamic Modeling of an Optimal Hybrid Power System for a Captive Power Plant in Pakistan","authors":"Luqman Ahsan, M. Iqbal","doi":"10.5455/jjee.204-1644676329","DOIUrl":"https://doi.org/10.5455/jjee.204-1644676329","url":null,"abstract":"This paper presents the optimized design, economic feasibility and dynamic modeling of a grid-tied captive hybrid renewable energy power plant for a Pakistani industrial area. Since the proposed plant, encompasses a photovoltaic (PV) array - as its main component - and for an efficient and reliable operation many issues - including industrial load variations and expected dynamics - should be investigated before its implementation. In this context, Homer Pro software is utilized in the design and economic optimized sizing of the PV array, and the PVWatts is used in land requirement analysis. The designed grid-tied plant is modeled in the MATLAB/Simulink using Simscape blocksets to investigate the plant’s dynamic behavior due to typical practical disturbances. The obtained results reveal that the plant has a low per-unit energy cost and provides significant savings. Results of dynamic simulation show that the plant can respond to the ramp-up and ramp-down load variations in industrial settings. Moreover, the plant has a fast response to step changes in irradiance; proving that the proposed plant is reliable and suitable candidate for fulfilling the designated load.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822111","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 : 2022-01-01DOI: 10.5455/jjee.204-1664025424
S. Abdulla
A comparative study and performance analysis of three different controllers - namely proportional-integral-derivative (PID), PD-like fuzzy logic and adaptive neuro fuzzy inference system (ANFIS) - utilized to control the output voltage of an automatic voltage regulator (AVR) of a power system are carried out. The obtained results show that the PID controller is capable of rejecting simultaneous disturbance signals effectively with zero steady-state error (SSE). However, it is not robust to unexpected parameter changes of the system. On the other hand, the fuzzy logic controller shows the ability to resist changes in the system parameters. Nonetheless, it exhibits both an increase of 12.5% in the SSE and fluctuations in disturbance rejection test. On the contrary, the ANFIS controller shows: i) superior performance and ii) robustness to disturbance signals and changes in the system parameters compared to the other two controllers. For these reasons, we believe that utilization of an ANFIS controller will not only promote safety, but also reliability of the AVR in power systems.
{"title":"Comparative Assessment of PID, Fuzzy Logic and ANFIS Controllers in an Automatic Voltage Regulator of A Power System","authors":"S. Abdulla","doi":"10.5455/jjee.204-1664025424","DOIUrl":"https://doi.org/10.5455/jjee.204-1664025424","url":null,"abstract":"A comparative study and performance analysis of three different controllers - namely proportional-integral-derivative (PID), PD-like fuzzy logic and adaptive neuro fuzzy inference system (ANFIS) - utilized to control the output voltage of an automatic voltage regulator (AVR) of a power system are carried out. The obtained results show that the PID controller is capable of rejecting simultaneous disturbance signals effectively with zero steady-state error (SSE). However, it is not robust to unexpected parameter changes of the system. On the other hand, the fuzzy logic controller shows the ability to resist changes in the system parameters. Nonetheless, it exhibits both an increase of 12.5% in the SSE and fluctuations in disturbance rejection test. On the contrary, the ANFIS controller shows: i) superior performance and ii) robustness to disturbance signals and changes in the system parameters compared to the other two controllers. For these reasons, we believe that utilization of an ANFIS controller will not only promote safety, but also reliability of the AVR in power systems.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822495","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 : 2022-01-01DOI: 10.5455/jjee.204-1659340463
A. Azmi, Muhammad Noor, Mohd. Ibrahim, F. Ahmad
This paper investigates the performance of a planar n-i-p perovskite solar cells (PSC) with lead-free perovskite absorber for three different metal oxides serving as the electron transport layer (ETL). A tin (Sn) based PSCs - with i) zinc oxide (ZnO), ii) titanium oxide (TiO2) and iii) tin oxide (SnO2) as the ETL, and spiro-MeOTAD as the hole transport layer (HTL) - are modeled and simulated using a 1-dimensional numerical software (SCAPS 1-D). Thicknesses of both the methylammonium tin iodide (CH3NH3SnI3) absorber and the ETL are varied for the purpose of achieving the optimum power conversion efficiency (PCE). For all metal oxide candidates, thickness of lead-free perovskite absorber layer is varied from 400 nm to 1500 nm. The obtained results show that the optimum recorded PCE is achieved at 900 nm. Moreover, the highest PCE value of 8.10% is observed for 80 nm thickness of SnO2 compared to 8.05% for ZnO and 7.99% for TiO2. Additionally, the results unveil that for a constant HTL thickness of 80 nm and ETL thickness increment up to 300 nm, the PCE is slightly reduced between 0.12% and 0.99% for all ETLs. We believe that this is the first simulation effort that evaluates the effect of transport layer thickness on the performance of lead-free PSC, hoping that the findings will be useful for the research community, particularly for those working in the field of solar cells fabrication and development.
{"title":"A Numerical Simulation of Transport Layer Thickness Effect in Tin-Based Perovskite Solar Cell","authors":"A. Azmi, Muhammad Noor, Mohd. Ibrahim, F. Ahmad","doi":"10.5455/jjee.204-1659340463","DOIUrl":"https://doi.org/10.5455/jjee.204-1659340463","url":null,"abstract":"This paper investigates the performance of a planar n-i-p perovskite solar cells (PSC) with lead-free perovskite absorber for three different metal oxides serving as the electron transport layer (ETL). A tin (Sn) based PSCs - with i) zinc oxide (ZnO), ii) titanium oxide (TiO2) and iii) tin oxide (SnO2) as the ETL, and spiro-MeOTAD as the hole transport layer (HTL) - are modeled and simulated using a 1-dimensional numerical software (SCAPS 1-D). Thicknesses of both the methylammonium tin iodide (CH3NH3SnI3) absorber and the ETL are varied for the purpose of achieving the optimum power conversion efficiency (PCE). For all metal oxide candidates, thickness of lead-free perovskite absorber layer is varied from 400 nm to 1500 nm. The obtained results show that the optimum recorded PCE is achieved at 900 nm. Moreover, the highest PCE value of 8.10% is observed for 80 nm thickness of SnO2 compared to 8.05% for ZnO and 7.99% for TiO2. Additionally, the results unveil that for a constant HTL thickness of 80 nm and ETL thickness increment up to 300 nm, the PCE is slightly reduced between 0.12% and 0.99% for all ETLs. We believe that this is the first simulation effort that evaluates the effect of transport layer thickness on the performance of lead-free PSC, hoping that the findings will be useful for the research community, particularly for those working in the field of solar cells fabrication and development.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822790","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 : 2022-01-01DOI: 10.5455/jjee.204-1633847533
Hasan Farahneh, Dia Abualnadi
{"title":"An Outdoor Multipath Channel Model for Vehicular Visible Light Communication Systems","authors":"Hasan Farahneh, Dia Abualnadi","doi":"10.5455/jjee.204-1633847533","DOIUrl":"https://doi.org/10.5455/jjee.204-1633847533","url":null,"abstract":"","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821906","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 : 2022-01-01DOI: 10.5455/jjee.204-1625509656
J. Ozogbuda, M. Iqbal
,
，
{"title":"Sizing and Analysis of an Off-Grid Photovoltaic System for a House in Remote Nigeria","authors":"J. Ozogbuda, M. Iqbal","doi":"10.5455/jjee.204-1625509656","DOIUrl":"https://doi.org/10.5455/jjee.204-1625509656","url":null,"abstract":",","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70821464","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 : 2022-01-01DOI: 10.5455/jjee.204-1638861465
Z. Dorrani, H. Farsi, S. Mohamadzadeh
Vehicle detection is still a challenge in object detection. Although there are many related research achievements, there is still a room for improvement. In this context, this paper presents a method that utilizes the ResUNet-a architecture – that is characterized by its high accuracy - to extract features for improved vehicle detection performance. Edge detection is used on these features to reduce the number of calculations. The removal of shadows by combining color and contour features - for increased detection accuracy - is one of the advantages of the proposed method and it is a critical step in improving vehicle detection. The obtained results show that the proposed method can detect vehicles with an accuracy of 92.3%. This - in addition to the obtained F-measure and η values of 0.9264 and 0.8854, respectively - clearly state that the proposed method - which is based on deep learning and edge detection - creates a reasonable balance between speed and accuracy.
{"title":"Deep Learning in Vehicle Detection Using ResUNet-a Architecture","authors":"Z. Dorrani, H. Farsi, S. Mohamadzadeh","doi":"10.5455/jjee.204-1638861465","DOIUrl":"https://doi.org/10.5455/jjee.204-1638861465","url":null,"abstract":"Vehicle detection is still a challenge in object detection. Although there are many related research achievements, there is still a room for improvement. In this context, this paper presents a method that utilizes the ResUNet-a architecture – that is characterized by its high accuracy - to extract features for improved vehicle detection performance. Edge detection is used on these features to reduce the number of calculations. The removal of shadows by combining color and contour features - for increased detection accuracy - is one of the advantages of the proposed method and it is a critical step in improving vehicle detection. The obtained results show that the proposed method can detect vehicles with an accuracy of 92.3%. This - in addition to the obtained F-measure and η values of 0.9264 and 0.8854, respectively - clearly state that the proposed method - which is based on deep learning and edge detection - creates a reasonable balance between speed and accuracy.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822005","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 : 2022-01-01DOI: 10.5455/jjee.204-1656498918
A. Abdullateef, A. Sulaiman, A. Issa, S. Zakariyya
Electricity theft is one of the problems - encountered by the utilities - that leads to losses of revenue. Manual monitoring of the consumers’ activities which shows the energy data consumed on the conventional grid has largely contributed to electricity theft on the grid. Significantly, the energy meter deployed to monitor the load cannot store and transmit energy data in real-time. This has made electricity theft on the grid unnoticed. This paper presents the development of a monitoring scheme for an electronic meter on the conventional grid with the capability to monitor, store and transmit consumers’ energy data to the cloud. It consists of two units: the indoor and the outdoor unit. Energy data is transferred wirelessly between the units via the Wi-Fi modules. The outdoor unit compares the data and transfers the outcome to the ThinkSpeak cloud server. The transferred energy data can be accessed in real-time from the cloud or downloaded in comma-separated values format for further use. In order to verify the functionality of the proposed scheme, two scenarios of electricity theft - partial bypassing and full bypassing - are carried out. The obtained results show that the scheme can detect the theft and log the data to the cloud successfully.
{"title":"Design and Implementation of a Cloud-Based Load Monitoring Scheme for Electricity Theft Detection on a Conventional Grid","authors":"A. Abdullateef, A. Sulaiman, A. Issa, S. Zakariyya","doi":"10.5455/jjee.204-1656498918","DOIUrl":"https://doi.org/10.5455/jjee.204-1656498918","url":null,"abstract":"Electricity theft is one of the problems - encountered by the utilities - that leads to losses of revenue. Manual monitoring of the consumers’ activities which shows the energy data consumed on the conventional grid has largely contributed to electricity theft on the grid. Significantly, the energy meter deployed to monitor the load cannot store and transmit energy data in real-time. This has made electricity theft on the grid unnoticed. This paper presents the development of a monitoring scheme for an electronic meter on the conventional grid with the capability to monitor, store and transmit consumers’ energy data to the cloud. It consists of two units: the indoor and the outdoor unit. Energy data is transferred wirelessly between the units via the Wi-Fi modules. The outdoor unit compares the data and transfers the outcome to the ThinkSpeak cloud server. The transferred energy data can be accessed in real-time from the cloud or downloaded in comma-separated values format for further use. In order to verify the functionality of the proposed scheme, two scenarios of electricity theft - partial bypassing and full bypassing - are carried out. The obtained results show that the scheme can detect the theft and log the data to the cloud successfully.","PeriodicalId":29729,"journal":{"name":"Jordan Journal of Electrical Engineering","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70822052","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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