Pub Date : 2023-03-19DOI: 10.1109/ICJECE.2023.3243888
Tao Wu
With rapid development and application of artificial intelligence and block chain, the requirement of information and data security is also increased, in which the public-key cryptography, such as Rivest-Shamir-Adleman (RSA) cryptography, plays a significant role. Modular exponentiation is fundamental in computer arithmetic and is widely applied in cryptography, such as ElGamal cryptography, Diffie–Hellman key exchange protocol, and RSA cryptography. The implementation of modular exponentiation in a residue number system leads to high parallelism in computation and has been applied in many hardware architectures. While most residue number system (RNS)-based architectures utilize RNS Montgomery algorithm with two residue number systems, the recent modular multiplication algorithm with sum residues performs modular reduction in only one residue number system with about the same parallelism. In this work, it is shown that the high-performance modular exponentiation and RSA cryptography can be implemented in RNS. Both the algorithm and architecture are improved to achieve high performance with extra area overheads, where a 1024-bit modular exponentiation can be completed in 0.567 ms in Xilinx XC6VLX195t-3 platform, costing 26489 slices, 87357 LUTs, 363 dedicated multipilers of $18 times 18$ bits, and 65 block RAMs.
{"title":"High-Performance RNS Modular Exponentiation by Sum-Residue Reduction","authors":"Tao Wu","doi":"10.1109/ICJECE.2023.3243888","DOIUrl":"https://doi.org/10.1109/ICJECE.2023.3243888","url":null,"abstract":"With rapid development and application of artificial intelligence and block chain, the requirement of information and data security is also increased, in which the public-key cryptography, such as Rivest-Shamir-Adleman (RSA) cryptography, plays a significant role. Modular exponentiation is fundamental in computer arithmetic and is widely applied in cryptography, such as ElGamal cryptography, Diffie–Hellman key exchange protocol, and RSA cryptography. The implementation of modular exponentiation in a residue number system leads to high parallelism in computation and has been applied in many hardware architectures. While most residue number system (RNS)-based architectures utilize RNS Montgomery algorithm with two residue number systems, the recent modular multiplication algorithm with sum residues performs modular reduction in only one residue number system with about the same parallelism. In this work, it is shown that the high-performance modular exponentiation and RSA cryptography can be implemented in RNS. Both the algorithm and architecture are improved to achieve high performance with extra area overheads, where a 1024-bit modular exponentiation can be completed in 0.567 ms in Xilinx XC6VLX195t-3 platform, costing 26489 slices, 87357 LUTs, 363 dedicated multipilers of \u0000<inline-formula> <tex-math>$18 times 18$ </tex-math></inline-formula>\u0000 bits, and 65 block RAMs.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 2","pages":"137-143"},"PeriodicalIF":0.0,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68014923","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 : 2023-03-16DOI: 10.1109/ICJECE.2022.3232213
Necati Aksoy;Istemihan Genc
Microgrids offer superiorities such as reducing energy costs and increasing the quality of energy, with the use of renewable energy sources and the effective use of energy storage unit created with innovative batteries. Furthermore, this structure, which helps to reduce the carbon footprint, will become undeniably critical to use in near future with the nanogrid and smart grid. As another development, an artificial intelligence (AI)-based control infrastructure brought to us by machine learning stands out as more beneficial than classical control methods. With this framework, which is called reinforcement learning (RL), it is promised that the system to be controlled can be more efficient. At this point, the thrifty use of energy storage unit, which is the most important tool that will increase the profitability of microgrids and enhance the proficiency of energy use, is associated with an RL-based energy control system. While this study focuses on an AI-based control infrastructure, it proposes a method utilizing an RL agent trained with a novel environmental model proposed specifically for the energy storage unit of microgrids. The advantages of this method demonstrated with the results are obtained, are shown and examined.
{"title":"Energy Storage Management for Microgrids Using n-Step Bootstrapping","authors":"Necati Aksoy;Istemihan Genc","doi":"10.1109/ICJECE.2022.3232213","DOIUrl":"https://doi.org/10.1109/ICJECE.2022.3232213","url":null,"abstract":"Microgrids offer superiorities such as reducing energy costs and increasing the quality of energy, with the use of renewable energy sources and the effective use of energy storage unit created with innovative batteries. Furthermore, this structure, which helps to reduce the carbon footprint, will become undeniably critical to use in near future with the nanogrid and smart grid. As another development, an artificial intelligence (AI)-based control infrastructure brought to us by machine learning stands out as more beneficial than classical control methods. With this framework, which is called reinforcement learning (RL), it is promised that the system to be controlled can be more efficient. At this point, the thrifty use of energy storage unit, which is the most important tool that will increase the profitability of microgrids and enhance the proficiency of energy use, is associated with an RL-based energy control system. While this study focuses on an AI-based control infrastructure, it proposes a method utilizing an RL agent trained with a novel environmental model proposed specifically for the energy storage unit of microgrids. The advantages of this method demonstrated with the results are obtained, are shown and examined.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 2","pages":"107-116"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68016404","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 : 2023-03-16DOI: 10.1109/ICJECE.2022.3228588
S. Immaculate Joy;K. Senthil Kumar;M. Palanivelan;D. Lakshmi
Artificial intelligence (AI) is that encompasses machine learning (ML) combined with human intelligence had begun to reform medical practices into a new dimension. Advancements and developments of AI molds improved diagnostics in the field of cardiology. Electrocardiogram (ECG) is a simple and cost-effective tool to identify cardiac disorder and which is its reason for being into practice till date. Increasing the population of ECG big data annually requires automatic analysis and immediate interpretation for improved diagnosis. Modern AI techniques like deep learning (DL)-based convolutional neural networks (CNNs) provide an improved way of cardiac disease management and diagnosis. This review throws a light over application of AI in ECG analysis and its necessity. Rich sets of clinical ECG data curated carefully as private and public access developed for various cardiac and extra-cardiac diseases management. Rather than human ECG interpretation, AI can move modern medicine toward more personalized patient care. The intention of this review article is to assess clinical and research possibilities, gaps, and jeopardies involved in cardiac anomalies detection using ECG measurement.
{"title":"Review on Advent of Artificial Intelligence in Electrocardiogram for the Detection of Extra-Cardiac and Cardiovascular Disease","authors":"S. Immaculate Joy;K. Senthil Kumar;M. Palanivelan;D. Lakshmi","doi":"10.1109/ICJECE.2022.3228588","DOIUrl":"https://doi.org/10.1109/ICJECE.2022.3228588","url":null,"abstract":"Artificial intelligence (AI) is that encompasses machine learning (ML) combined with human intelligence had begun to reform medical practices into a new dimension. Advancements and developments of AI molds improved diagnostics in the field of cardiology. Electrocardiogram (ECG) is a simple and cost-effective tool to identify cardiac disorder and which is its reason for being into practice till date. Increasing the population of ECG big data annually requires automatic analysis and immediate interpretation for improved diagnosis. Modern AI techniques like deep learning (DL)-based convolutional neural networks (CNNs) provide an improved way of cardiac disease management and diagnosis. This review throws a light over application of AI in ECG analysis and its necessity. Rich sets of clinical ECG data curated carefully as private and public access developed for various cardiac and extra-cardiac diseases management. Rather than human ECG interpretation, AI can move modern medicine toward more personalized patient care. The intention of this review article is to assess clinical and research possibilities, gaps, and jeopardies involved in cardiac anomalies detection using ECG measurement.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 2","pages":"99-106"},"PeriodicalIF":0.0,"publicationDate":"2023-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68016409","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}
A soft-computing-based novel design approach is proposed for the design of multifunctional antennas to be used in wireless consumer electronic devices. With the combined utilization of the particle swarm optimization (PSO) and the merits of the neural network (NN) technique, the developed formulation produces the design of multifrequency fractal antenna structure for specific multiple frequencies and handles the suitable feeding for these multiple frequencies. The role of the developed trained NN is to remove the need for an electromagnetic simulator that is embedded in the optimization loop of the PSO. The involvement of NN in PSO would eliminate the need for a hit-trial approach during parametric optimization for achieving the set goals as per designer’s requirement. However, as the response of the used soft-computing techniques is fast, the developed design formulation takes significantly less time (the order of seconds) in comparison to the design using simulators or other numerical/analytical methods. Different small size Sierpinski gaskets and Koch monopoles are designed and tested using the developed methodology. The effectiveness of the developed approach is cross-checked with simulation and experimental verifications.
{"title":"Multifunctional Antenna Design for Wireless Consumer Electronic Devices: A Soft-Computing Approach","authors":"Anuradha Sonker;Anil Kumar Nayak;Tushar Goel;Amalendu Patnaik","doi":"10.1109/ICJECE.2023.3243994","DOIUrl":"https://doi.org/10.1109/ICJECE.2023.3243994","url":null,"abstract":"A soft-computing-based novel design approach is proposed for the design of multifunctional antennas to be used in wireless consumer electronic devices. With the combined utilization of the particle swarm optimization (PSO) and the merits of the neural network (NN) technique, the developed formulation produces the design of multifrequency fractal antenna structure for specific multiple frequencies and handles the suitable feeding for these multiple frequencies. The role of the developed trained NN is to remove the need for an electromagnetic simulator that is embedded in the optimization loop of the PSO. The involvement of NN in PSO would eliminate the need for a hit-trial approach during parametric optimization for achieving the set goals as per designer’s requirement. However, as the response of the used soft-computing techniques is fast, the developed design formulation takes significantly less time (the order of seconds) in comparison to the design using simulators or other numerical/analytical methods. Different small size Sierpinski gaskets and Koch monopoles are designed and tested using the developed methodology. The effectiveness of the developed approach is cross-checked with simulation and experimental verifications.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 2","pages":"144-156"},"PeriodicalIF":0.0,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68014922","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 : 2023-03-11DOI: 10.1109/ICJECE.2022.3233840
K. Suresh;E. Parimalasundar;M. S. Sujatha;N. M. G. Kumar
This article proposes a bidirectional single-phase dc–ac converter with triple port converter (T-PC) for application of energy storage. This proposed converter provides three ports such as ac port, dc port, and dc bus port to achieve three power interfacing ports. For the direct conversion process, dc port is directly connected to T-PC, and direct power will be exchanged between energy storage device (ESD) and grid when the ESD voltage peak amplitude is lower than the ac voltage. Thus, a dc–dc converter downstream power process gets reduced, and power loss is decreased considerably. Due to multilevel characteristics, switching losses in the T-PC can be reduced. The efficiency of the overall bidirectional dc–ac conversion process can be increased significantly. The circuit model, working principle, and modulation control of T-PC-based bidirectional dc–ac conversion concepts are analyzed. A 1.5-kW test-bench model is developed and its effectiveness is verified to find the merits of suggested conversion.
{"title":"Design and Implementation Bidirectional DC–AC Converter for Energy Storage System","authors":"K. Suresh;E. Parimalasundar;M. S. Sujatha;N. M. G. Kumar","doi":"10.1109/ICJECE.2022.3233840","DOIUrl":"https://doi.org/10.1109/ICJECE.2022.3233840","url":null,"abstract":"This article proposes a bidirectional single-phase dc–ac converter with triple port converter (T-PC) for application of energy storage. This proposed converter provides three ports such as ac port, dc port, and dc bus port to achieve three power interfacing ports. For the direct conversion process, dc port is directly connected to T-PC, and direct power will be exchanged between energy storage device (ESD) and grid when the ESD voltage peak amplitude is lower than the ac voltage. Thus, a dc–dc converter downstream power process gets reduced, and power loss is decreased considerably. Due to multilevel characteristics, switching losses in the T-PC can be reduced. The efficiency of the overall bidirectional dc–ac conversion process can be increased significantly. The circuit model, working principle, and modulation control of T-PC-based bidirectional dc–ac conversion concepts are analyzed. A 1.5-kW test-bench model is developed and its effectiveness is verified to find the merits of suggested conversion.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 2","pages":"130-136"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68014920","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 : 2023-03-02DOI: 10.1109/ICJECE.2022.3224090
Rashedul Hoque;Sébastien Roy;Jean Lavoie
The structural health monitoring (SHM) of bridges with wireless sensor networks (WSNs) is addressed by leveraging two distinct but interrelated aspects: GaAs-based solar energy harvesting and switched-beam antenna strategies in combination with asynchronous media access control (MAC) protocols. The joint optimization of solar energy harvesting and switched-beam directional antennas at the nodes is considered and compared with an equivalent omnidirectional antenna network. To address the limited energy budget in battery-based sensor nodes which is a serious limitation in long-lived applications such as bridge SHM, an efficient solar harvesting solution is put forth based on the good performance of GaAs cells even under low-light conditions. Given the current state of the art in GaAs cells, single-junction cells were selected due to the cost of double- or triple-junction versions. The simulation model includes the residual energy capacity with GaAs-based solar energy harvesting of actual selected components (microcontroller, radio interface chip). The model was implemented on top of the Omnet++ and Silvaco Atlas simulator. The comparative study in this article provides insights into realistic bridge SHM sensor networks, leveraging solar energy harvesting and switched-beam antennas.
{"title":"Switch-Beam Antenna Techniques for Bridge Structural Health Monitoring With GaAs-Based Solar Energy Harvesting","authors":"Rashedul Hoque;Sébastien Roy;Jean Lavoie","doi":"10.1109/ICJECE.2022.3224090","DOIUrl":"https://doi.org/10.1109/ICJECE.2022.3224090","url":null,"abstract":"The structural health monitoring (SHM) of bridges with wireless sensor networks (WSNs) is addressed by leveraging two distinct but interrelated aspects: GaAs-based solar energy harvesting and switched-beam antenna strategies in combination with asynchronous media access control (MAC) protocols. The joint optimization of solar energy harvesting and switched-beam directional antennas at the nodes is considered and compared with an equivalent omnidirectional antenna network. To address the limited energy budget in battery-based sensor nodes which is a serious limitation in long-lived applications such as bridge SHM, an efficient solar harvesting solution is put forth based on the good performance of GaAs cells even under low-light conditions. Given the current state of the art in GaAs cells, single-junction cells were selected due to the cost of double- or triple-junction versions. The simulation model includes the residual energy capacity with GaAs-based solar energy harvesting of actual selected components (microcontroller, radio interface chip). The model was implemented on top of the Omnet++ and Silvaco Atlas simulator. The comparative study in this article provides insights into realistic bridge SHM sensor networks, leveraging solar energy harvesting and switched-beam antennas.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 1","pages":"90-98"},"PeriodicalIF":0.0,"publicationDate":"2023-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68038520","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 : 2023-03-01DOI: 10.1109/ICJECE.2022.3218929
Tan Sang Le;Thanh Phuong Nguyen;Hung Nguyen;Ha Quang Thinh Ngo
In multi-automated guided vehicle (AGV) control, optimization and collision avoidance are two of the key issues. To deal with these problems of the AGV fleet, motion planning is a good solution. This method usually comprises two steps as follows: routing and scheduling that are always separately executed in conventional routine. This scheme still exists some drawbacks, such as limitation of candidate paths or lack of flexibility in handling collisions. Besides, with a specific layout, the algorithm needs to be modified to be proper with that application. The warehouse with grid-based layout employed popularly in logistics and supply chain is our concern. To overcome this theme, a time-frame-based routing and scheduling (TFRS) algorithm for motion planning of vehicles is proposed for this warehouse application. In detail, TFRS can also be called an enhanced Dijkstra’s algorithm (EDA) with adaptive weights for every segment and node. It was designed to gain several benefits of time due to the shortest path, free collision, and proper for chessboard layout. The main idea is that while conducting path routing, certain circumstances of potential accidents are detected and dealt by scheduling in every loop. Due to simultaneous policies of routing and scheduling, the optimization and secure operation could be achieved in the AGV system. Numerous situations in danger of collision are experimented to verify the effectiveness, flexibility, and correctness of the proposed algorithm.
{"title":"Integrating Both Routing and Scheduling Into Motion Planner for Multivehicle System","authors":"Tan Sang Le;Thanh Phuong Nguyen;Hung Nguyen;Ha Quang Thinh Ngo","doi":"10.1109/ICJECE.2022.3218929","DOIUrl":"https://doi.org/10.1109/ICJECE.2022.3218929","url":null,"abstract":"In multi-automated guided vehicle (AGV) control, optimization and collision avoidance are two of the key issues. To deal with these problems of the AGV fleet, motion planning is a good solution. This method usually comprises two steps as follows: routing and scheduling that are always separately executed in conventional routine. This scheme still exists some drawbacks, such as limitation of candidate paths or lack of flexibility in handling collisions. Besides, with a specific layout, the algorithm needs to be modified to be proper with that application. The warehouse with grid-based layout employed popularly in logistics and supply chain is our concern. To overcome this theme, a time-frame-based routing and scheduling (TFRS) algorithm for motion planning of vehicles is proposed for this warehouse application. In detail, TFRS can also be called an enhanced Dijkstra’s algorithm (EDA) with adaptive weights for every segment and node. It was designed to gain several benefits of time due to the shortest path, free collision, and proper for chessboard layout. The main idea is that while conducting path routing, certain circumstances of potential accidents are detected and dealt by scheduling in every loop. Due to simultaneous policies of routing and scheduling, the optimization and secure operation could be achieved in the AGV system. Numerous situations in danger of collision are experimented to verify the effectiveness, flexibility, and correctness of the proposed algorithm.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 1","pages":"56-68"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68038578","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 : 2023-02-27DOI: 10.1109/ICJECE.2022.3228337
Muhammad Qasim Khan;Muhammad Mansoor Khan;Arshad Nawaz;Xu Yi;Haibing Wang;Chengmin Wang
The power flow control in high-voltage direct current (HVDC) grids can be improved by employing the interline dc power flow controller (IDCPFC). This article presents an improved control scheme using IDCPFC to balance power flow in the dc networks. In this work, a differential-mode transformer (DMT) is used in combination with a bidirectional buck converter to form a variable DMT. In comparison to the existing methods, the proposed system is scalable to higher voltages and powers, which makes it suitable for high-voltage dc transmission systems. Analysis of a small-signal model of the proposed method and design of compensator for improvement of transient behavior is performed. A simulation is performed with independent feed-forward and feedback control to show the effectiveness of the proposed method. The proposed method is also validated through a 600-W experimental prototype. The experimental results show that the current flow between lines is controlled for unbalance load conditions.
{"title":"Stability Analysis and Control Design for Multiterminal HVDC Network With Power Flow Controller","authors":"Muhammad Qasim Khan;Muhammad Mansoor Khan;Arshad Nawaz;Xu Yi;Haibing Wang;Chengmin Wang","doi":"10.1109/ICJECE.2022.3228337","DOIUrl":"https://doi.org/10.1109/ICJECE.2022.3228337","url":null,"abstract":"The power flow control in high-voltage direct current (HVDC) grids can be improved by employing the interline dc power flow controller (IDCPFC). This article presents an improved control scheme using IDCPFC to balance power flow in the dc networks. In this work, a differential-mode transformer (DMT) is used in combination with a bidirectional buck converter to form a variable DMT. In comparison to the existing methods, the proposed system is scalable to higher voltages and powers, which makes it suitable for high-voltage dc transmission systems. Analysis of a small-signal model of the proposed method and design of compensator for improvement of transient behavior is performed. A simulation is performed with independent feed-forward and feedback control to show the effectiveness of the proposed method. The proposed method is also validated through a 600-W experimental prototype. The experimental results show that the current flow between lines is controlled for unbalance load conditions.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 1","pages":"44-55"},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68038579","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 : 2023-02-27DOI: 10.1109/ICJECE.2022.3223294
Anuradha Tomar
In this article, the conceptualization, design, development, and real-field validation of a photovoltaic (PV)-based single-phase microinverter (SP $mu text{I}$ ) to address three major challenges of rural standalone PV-based electrical systems: 1) to perform efficiently over a wide range of input voltage variations/irradiance; 2) maintains system efficiency within a satisfactory limit even under lightly loaded conditions; and 3) robust and stable operation under harsh/outdoor operating environments has been done. The developed novel dual-stage SP $mu text{I}$ adapts the benefits of the interleaved dc–dc boost converter for 180° phase-shifted harmonic cancellation and integration of voltage doubler circuit benefits in lessened transformer’s turn ratio with decreased flux leakage, thus resulting in improved energy conversion efficiency at a reduced magnetic size and Si-GaN. Furthermore, adapted high- and low-frequency switching at the first and second legs of the full-bridge converter, respectively, ensures minimized switching losses even at lightly loaded conditions. Based on a per watt comparison to a 500-W inverter, the proposed SP $mu text{I}$ achieves 6.16% and 8.5% higher efficiency at 100% and 10% loading, respectively, at a reduced cost of 9.33% and an increased return on investment (ROI) of 12.23%.
{"title":"Efficient PV-Based Microinverter With Enhanced ROI for Lower Economic Zone Habitants","authors":"Anuradha Tomar","doi":"10.1109/ICJECE.2022.3223294","DOIUrl":"https://doi.org/10.1109/ICJECE.2022.3223294","url":null,"abstract":"In this article, the conceptualization, design, development, and real-field validation of a photovoltaic (PV)-based single-phase microinverter (SP\u0000<inline-formula> <tex-math>$mu text{I}$ </tex-math></inline-formula>\u0000) to address three major challenges of rural standalone PV-based electrical systems: 1) to perform efficiently over a wide range of input voltage variations/irradiance; 2) maintains system efficiency within a satisfactory limit even under lightly loaded conditions; and 3) robust and stable operation under harsh/outdoor operating environments has been done. The developed novel dual-stage SP\u0000<inline-formula> <tex-math>$mu text{I}$ </tex-math></inline-formula>\u0000 adapts the benefits of the interleaved dc–dc boost converter for 180° phase-shifted harmonic cancellation and integration of voltage doubler circuit benefits in lessened transformer’s turn ratio with decreased flux leakage, thus resulting in improved energy conversion efficiency at a reduced magnetic size and Si-GaN. Furthermore, adapted high- and low-frequency switching at the first and second legs of the full-bridge converter, respectively, ensures minimized switching losses even at lightly loaded conditions. Based on a per watt comparison to a 500-W inverter, the proposed SP\u0000<inline-formula> <tex-math>$mu text{I}$ </tex-math></inline-formula>\u0000 achieves 6.16% and 8.5% higher efficiency at 100% and 10% loading, respectively, at a reduced cost of 9.33% and an increased return on investment (ROI) of 12.23%.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 1","pages":"24-34"},"PeriodicalIF":0.0,"publicationDate":"2023-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68035946","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This article describes a modified structure 9-level inverter (MS9LI) with a dual dc link and eight switches. The dual dc links are different dc voltage sources with a 1:3 ratio. To generate high-quality nine-level output, the alternative phase opposition and disposition pulsewidth modulation (APODPWM) technique has been used. Most reported reduced device multilevel inverters (MLIs) include several underutilized dc sources and much more active switches. The designed MS9LI is more efficient since it uses fewer conducting switches. The proposed configuration furthermore does not need a backend H-bridge, and voltage stress is not more than the input dc voltage. A series connection of the proposed configuration can also be used to extend the topology. To prove the superior performance of the proposed MS9LI configuration, a detailed comparison with the foremost configurations in terms of the essential number of sources, switches, and drivers is made. In order to confirm the viability and functionality of the MS9LI configuration, various simulation and experimental findings are presented.
{"title":"Modified Structure 9-Level Inverter (MS9LI) With Reduced On-State Switches","authors":"Vijayakumar Arun;Sundaramoorthy Prabhu;Natarajan Prabaharan;Balashanmugham Shanthi","doi":"10.1109/ICJECE.2022.3222215","DOIUrl":"https://doi.org/10.1109/ICJECE.2022.3222215","url":null,"abstract":"This article describes a modified structure 9-level inverter (MS9LI) with a dual dc link and eight switches. The dual dc links are different dc voltage sources with a 1:3 ratio. To generate high-quality nine-level output, the alternative phase opposition and disposition pulsewidth modulation (APODPWM) technique has been used. Most reported reduced device multilevel inverters (MLIs) include several underutilized dc sources and much more active switches. The designed MS9LI is more efficient since it uses fewer conducting switches. The proposed configuration furthermore does not need a backend H-bridge, and voltage stress is not more than the input dc voltage. A series connection of the proposed configuration can also be used to extend the topology. To prove the superior performance of the proposed MS9LI configuration, a detailed comparison with the foremost configurations in terms of the essential number of sources, switches, and drivers is made. In order to confirm the viability and functionality of the MS9LI configuration, various simulation and experimental findings are presented.","PeriodicalId":100619,"journal":{"name":"IEEE Canadian Journal of Electrical and Computer Engineering","volume":"46 1","pages":"15-23"},"PeriodicalIF":0.0,"publicationDate":"2023-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68035947","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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