Pub Date : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201729
Kashish Agarwal, G. Khanna, P. Kaushal
Normally-OFF (enhancement type) p-type Gallium Nitride (GaN) gate HEMT-on-Silicon Carbide (SiC) exhibiting a high breakdown voltage and large value of saturation current density is demonstrated in this paper. Benefiting from Aluminium Nitride (AIN) nucleation, Indium Nitride (InN) nucleation and Silcon Nitride (Si3N4) passivation layers with better handling of electric field lines on gate side and low drain leakage current, the structure with gate-to-drain length of 6 Mm shows a breakdown voltage (Vbr) of 840 V at 100 MA/mm drain current. The device shows a threshold voltage (V th) value 1.98 V at a drain current (Ids) of 100 MA/mm, an ON-current/OFF-current ratio (Ion/Ioff) of 1.7×109, a small specific ON-condition resistance (Ron) of 2.5 ohm.cm2, a high value of drain current density (0.316 A/mm) at gate voltage (V gs) of 8 V. A sub-threshold slope of 77 m V /dec is obtained. A high trans-conductance of 69 mS/mm is achieved. When Vgs is 8 V, the device exhibit low gate current (Igs) value (22.3 MA/mm). These results show huge potential of p-GaN gate structure HEMT-on-SiC for power application.
本文展示了一种常关(增强型)p型氮化镓栅极(hemt -on- SiC)具有高击穿电压和大的饱和电流密度值。得益于氮化铝(AIN)成核、氮化铟(InN)成核和氮化硅(Si3N4)钝化层对栅极侧电场线的处理效果较好，漏极漏电流小，栅极到漏极长度为6 Mm的结构在100 MA/ Mm漏极电流下击穿电压(Vbr)为840 V。在漏极电流(Ids)为100 MA/mm时，器件的阈值电压(V th)为1.98 V，通断电流比(Ion/Ioff)为1.7×109，比通状态电阻(Ron)很小，为2.5欧姆。在栅极电压为8v时，漏极电流密度高(0.316 a /mm)。得到了77 m V /dec的亚阈值斜率。实现了69 mS/mm的高跨导。当Vgs为8 V时，器件栅极电流(Igs)值较低(22.3 MA/mm)。这些结果显示了p-GaN栅极结构HEMT-on-SiC在功率应用方面的巨大潜力。
{"title":"p-GaN HEMT-on-SiC Structural Optimization for High Drain Current and High Threshold Voltage","authors":"Kashish Agarwal, G. Khanna, P. Kaushal","doi":"10.1109/APSIT58554.2023.10201729","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201729","url":null,"abstract":"Normally-OFF (enhancement type) p-type Gallium Nitride (GaN) gate HEMT-on-Silicon Carbide (SiC) exhibiting a high breakdown voltage and large value of saturation current density is demonstrated in this paper. Benefiting from Aluminium Nitride (AIN) nucleation, Indium Nitride (InN) nucleation and Silcon Nitride (Si3N4) passivation layers with better handling of electric field lines on gate side and low drain leakage current, the structure with gate-to-drain length of 6 Mm shows a breakdown voltage (Vbr) of 840 V at 100 MA/mm drain current. The device shows a threshold voltage (V th) value 1.98 V at a drain current (Ids) of 100 MA/mm, an ON-current/OFF-current ratio (Ion/Ioff) of 1.7×109, a small specific ON-condition resistance (Ron) of 2.5 ohm.cm2, a high value of drain current density (0.316 A/mm) at gate voltage (V gs) of 8 V. A sub-threshold slope of 77 m V /dec is obtained. A high trans-conductance of 69 mS/mm is achieved. When Vgs is 8 V, the device exhibit low gate current (Igs) value (22.3 MA/mm). These results show huge potential of p-GaN gate structure HEMT-on-SiC for power application.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128004997","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}
The ability of thermistor to exhibit linear electrical behaviours is crucial for minimising circuit design complexity. To create high performance electronic ceramics, phase formation modulation is crucial. By using a solid-state reaction technique, novel linear high-temperature thermistors based on BaWO4 ceramics were created, resulting in an internal conducting network and linear electrical characteristics. In the temperature range of 573 K to 773 K, the ceramics showed negative temperature coefficient (NTC) thermistor properties. They had an excellent linear resistance-temperature (R-T) combination. The process behind linear electrical behaviours has been analysed using a parallel conductive model in combination with a comprehensive impedance and dielectric study. This strategy might be applied more generally to create linear high-temperature thermistors with a large temperature range.
{"title":"Sensitivity and Accuracy of Dielectric Measurements of Significantly Improved Coupled Capacitive-Dependent scheelite crystal","authors":"Sudhansu Sekhar Hota, Debasish Panda, Ram Naresh Prasad Choudhary","doi":"10.1109/APSIT58554.2023.10201719","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201719","url":null,"abstract":"The ability of thermistor to exhibit linear electrical behaviours is crucial for minimising circuit design complexity. To create high performance electronic ceramics, phase formation modulation is crucial. By using a solid-state reaction technique, novel linear high-temperature thermistors based on BaWO4 ceramics were created, resulting in an internal conducting network and linear electrical characteristics. In the temperature range of 573 K to 773 K, the ceramics showed negative temperature coefficient (NTC) thermistor properties. They had an excellent linear resistance-temperature (R-T) combination. The process behind linear electrical behaviours has been analysed using a parallel conductive model in combination with a comprehensive impedance and dielectric study. This strategy might be applied more generally to create linear high-temperature thermistors with a large temperature range.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130075395","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201736
Swarnendra Kumar Behera, Saroja Kumar Rout, R. Tiwari
The most significant constraint in cloud computing infrastructure is job/task scheduling which affords the vital role of efficiency of the entire cloud computing services and offerings. Job/ task scheduling in cloud infrastructure means that to assign the best appropriate cloud resources for the given job/task by considering different factors: execution time and cost, infrastructure scalability and reliability, platform availability and throughput, resource utilization, and make span. The proposed enhanced task scheduling algorithm using particle swarm optimization considers the optimization of makes pan and scheduling time. We propose the proposed model by using dynamic adjustment of parameters with discrete positioning (DAPDP) based algorithm to schedule and allocate cloud jobs/tasks that ensure optimized makes pan and scheduling time. DAPDP can witness a substantial role in attaining reliability by seeing the available, scheduled, and allocated cloud resources. Our approach DAPDP compared with other existing particle swarm and optimization job/task scheduling algorithms to prove that DAPDP can save in makes pan, scheduling, and execution time.
{"title":"TSPSO: Enhanced Task Scheduling using Optimized Particle Swarm Algorithm in Cloud Computing Environment","authors":"Swarnendra Kumar Behera, Saroja Kumar Rout, R. Tiwari","doi":"10.1109/APSIT58554.2023.10201736","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201736","url":null,"abstract":"The most significant constraint in cloud computing infrastructure is job/task scheduling which affords the vital role of efficiency of the entire cloud computing services and offerings. Job/ task scheduling in cloud infrastructure means that to assign the best appropriate cloud resources for the given job/task by considering different factors: execution time and cost, infrastructure scalability and reliability, platform availability and throughput, resource utilization, and make span. The proposed enhanced task scheduling algorithm using particle swarm optimization considers the optimization of makes pan and scheduling time. We propose the proposed model by using dynamic adjustment of parameters with discrete positioning (DAPDP) based algorithm to schedule and allocate cloud jobs/tasks that ensure optimized makes pan and scheduling time. DAPDP can witness a substantial role in attaining reliability by seeing the available, scheduled, and allocated cloud resources. Our approach DAPDP compared with other existing particle swarm and optimization job/task scheduling algorithms to prove that DAPDP can save in makes pan, scheduling, and execution time.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126776569","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}
Analyzing medical images and deciding on health issues require a hybrid intelligence system. Today, cancer is the illness that kills the most people worldwide. The most common type of tumor sickness is breast cancer. The previously employed algorithms for detecting and classifying breast tumors kept getting better until they produced successful results. Machine learning techniques for detecting and classifying breast tumors have been the subject of numerous studies. For breast tumor identification and classification, we proposed the Artificial Bee Colony Extreme Learning Machine (ABC-ELM) algorithm. We aim to improve the breast tumor identification and classification algorithm using the Morlet wavelet transform for feature extraction and tumor segmentation. Breast images are classified as malignant or non-cancerous by extracting pertinent features and improving the ELM classifier's parameters using the ABC algorithm. As a result, the proposed method performs best compared to earlier comparative research, achieving an accuracy of 98.2%, Sensitivity is 98.5%, and precision 98.5%.
{"title":"Breast Tumor Detection and Classification Using ABC-ELM Algorithm","authors":"Haymanot Derebe Bizuneh, Satyasis Mishra, Workineh Geleta Negassa","doi":"10.1109/APSIT58554.2023.10201776","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201776","url":null,"abstract":"Analyzing medical images and deciding on health issues require a hybrid intelligence system. Today, cancer is the illness that kills the most people worldwide. The most common type of tumor sickness is breast cancer. The previously employed algorithms for detecting and classifying breast tumors kept getting better until they produced successful results. Machine learning techniques for detecting and classifying breast tumors have been the subject of numerous studies. For breast tumor identification and classification, we proposed the Artificial Bee Colony Extreme Learning Machine (ABC-ELM) algorithm. We aim to improve the breast tumor identification and classification algorithm using the Morlet wavelet transform for feature extraction and tumor segmentation. Breast images are classified as malignant or non-cancerous by extracting pertinent features and improving the ELM classifier's parameters using the ABC algorithm. As a result, the proposed method performs best compared to earlier comparative research, achieving an accuracy of 98.2%, Sensitivity is 98.5%, and precision 98.5%.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132713172","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201714
A. K. Parida, A. Mohapatra, Rudra Narayan Das, Chidurala Saiprakash, Shibanika Panda, Khadija Sajda Khanam
In recent years, there have been several proposed solutions to mitigate the negative impact of Partial shading (PS) on the performance of photovoltaic (PV) systems. Achieving maximum energy harvesting is crucial for increasing solar unit efficiency, but this is influenced by several factors such as power electronic device configuration, climate change, and unit size. Various configurations like series, parallels, series-parallel, total-cross-tied, bridge-linked, and honeycomb can be helpful, but they may also have drawbacks such as low shade dispersion, mismatch, and line losses. To address these issues, array reconfiguration has been successful, and this paper examines the current scenario and improvements in PV system reconfiguration. A new technique called Shifting Arrangement (SA) reconfiguration is proposed here to enhance the output performance of photovoltaic solar panels. A comparison is made between the performance of the proposed physical reconfiguration and conventional array configurations, analyzing their Fill Factor (FF), Mismatch Loss (ML), and Global Maximum Power (GMP).
{"title":"Maximizing Solar Array Output Power Under PS Using Shifting Arrangement Reconfiguration","authors":"A. K. Parida, A. Mohapatra, Rudra Narayan Das, Chidurala Saiprakash, Shibanika Panda, Khadija Sajda Khanam","doi":"10.1109/APSIT58554.2023.10201714","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201714","url":null,"abstract":"In recent years, there have been several proposed solutions to mitigate the negative impact of Partial shading (PS) on the performance of photovoltaic (PV) systems. Achieving maximum energy harvesting is crucial for increasing solar unit efficiency, but this is influenced by several factors such as power electronic device configuration, climate change, and unit size. Various configurations like series, parallels, series-parallel, total-cross-tied, bridge-linked, and honeycomb can be helpful, but they may also have drawbacks such as low shade dispersion, mismatch, and line losses. To address these issues, array reconfiguration has been successful, and this paper examines the current scenario and improvements in PV system reconfiguration. A new technique called Shifting Arrangement (SA) reconfiguration is proposed here to enhance the output performance of photovoltaic solar panels. A comparison is made between the performance of the proposed physical reconfiguration and conventional array configurations, analyzing their Fill Factor (FF), Mismatch Loss (ML), and Global Maximum Power (GMP).","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133332271","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201721
O. Shah, Shivangi Bansal, Prashant Kumar Mavi, A. Yadav, Satvik Vats, Zaiba Ishrat
The article summarizes the outcomes of extensive research carried out on dual-edge triggered flip-flops (DETFFs) and sense amplifier based flip-flops (SAFFs) in relation to their power consumption, delay measurements and area requirements. The research focused on four of the most advanced flip-flops (FFs) currently available, and simulations were conducted in SPICE using 32 nm CMOS technology. The results showed that Lee's FF had better power efficiency at data activities of greater than 25% whereas Lapshev's FF could be used for circuits with less data activity. Jeong's FF had better speed efficiency at higher voltages. Lee's FF also had the best power delay product (PDP) followed closely by Jeong's FF at nominal conditions. Additionally, Jeong's FF outperformed other designs in terms of area overhead.
{"title":"Comparative Analysis of Dual-edge Triggered and Sense Amplifier Based Flip-flops in 32 nm CMOS Regime","authors":"O. Shah, Shivangi Bansal, Prashant Kumar Mavi, A. Yadav, Satvik Vats, Zaiba Ishrat","doi":"10.1109/APSIT58554.2023.10201721","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201721","url":null,"abstract":"The article summarizes the outcomes of extensive research carried out on dual-edge triggered flip-flops (DETFFs) and sense amplifier based flip-flops (SAFFs) in relation to their power consumption, delay measurements and area requirements. The research focused on four of the most advanced flip-flops (FFs) currently available, and simulations were conducted in SPICE using 32 nm CMOS technology. The results showed that Lee's FF had better power efficiency at data activities of greater than 25% whereas Lapshev's FF could be used for circuits with less data activity. Jeong's FF had better speed efficiency at higher voltages. Lee's FF also had the best power delay product (PDP) followed closely by Jeong's FF at nominal conditions. Additionally, Jeong's FF outperformed other designs in terms of area overhead.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114081586","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201755
Shubham Dadaso Patil, A. Patil, Megharani Dharme, R. Jarial
The power transformer is one of the most ubiquitous and crucial parts of the energy infrastructure. The use of Dissolved Gas Analysis (DGA) to clarify transformer incipient faults via machine learning algorithms is an intriguing engineering strategy. In the interest of discovering more about the fault classification capacity and suitability of multiple Machine learning algorithms, this article makes use of a wide range of numerous and diverse DGA data sets. This research focuses on detecting faults in power transformers by analyzing gases that are dissolved in mineral oil insulation using Machine-Learning algorithms such as the K-nearest neighbors (KNN) classifier, Logistic Regression, Naive Bayes classifier, Decision Tree Classifier, and Ensemble learning algorithm. This research also addresses performance indicators and assesses multiple algorithms to validate the best class algorithms. In addition, a top-performing algorithm is chosen using a collection of effectiveness criteria. This method will be useful for condition monitoring engineers mostly in the diagnosis of transformer insulation, the implementation of monitoring devices for large transformer fleets, and the comprehension of the behavior of insulation oil over the course of years to prevent catastrophic failure.
{"title":"DGA Based Ensemble Learning Approach for Power Transformer Fault Diagnosis","authors":"Shubham Dadaso Patil, A. Patil, Megharani Dharme, R. Jarial","doi":"10.1109/APSIT58554.2023.10201755","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201755","url":null,"abstract":"The power transformer is one of the most ubiquitous and crucial parts of the energy infrastructure. The use of Dissolved Gas Analysis (DGA) to clarify transformer incipient faults via machine learning algorithms is an intriguing engineering strategy. In the interest of discovering more about the fault classification capacity and suitability of multiple Machine learning algorithms, this article makes use of a wide range of numerous and diverse DGA data sets. This research focuses on detecting faults in power transformers by analyzing gases that are dissolved in mineral oil insulation using Machine-Learning algorithms such as the K-nearest neighbors (KNN) classifier, Logistic Regression, Naive Bayes classifier, Decision Tree Classifier, and Ensemble learning algorithm. This research also addresses performance indicators and assesses multiple algorithms to validate the best class algorithms. In addition, a top-performing algorithm is chosen using a collection of effectiveness criteria. This method will be useful for condition monitoring engineers mostly in the diagnosis of transformer insulation, the implementation of monitoring devices for large transformer fleets, and the comprehension of the behavior of insulation oil over the course of years to prevent catastrophic failure.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113997123","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201711
Pankaj Gupta, Ananya Pandey, Ajeet Kumar, D. Vishwakarma
Multimodal aspect-based sentiment recognition (MABSR) is a recently developed task in sentiment recognition that tries to assess the sentiment associated with text and image pairings by generally extracting the polarity terms from the pairs. Both the pipeline and the unified transformer based technique, which employs the cross-attention only mechanism, have been widely utilized in recent works. However, the alignment between text and picture is not openly and reliably included in these approaches. There is still a minimum threshold of aligned image-text pairings needed for supervised fine-tuning of said universal transformers for MABSR. Motivated by this observation and inspired by the various attention-only mechanisms, we analyze MABSR and propose an attention-free encoder-based transformer architecture. Dual attention-free based backbone encoder models with cross-modal symmetry are utilized in this work. To improve cross-modal performance, we include two new subtasks: aspect-only extraction and polarity feature representation alignment. This motivates both encoders to provide more precise depictions of multiple modalities.
{"title":"Attention-free based dual-encoder mechanism for Aspect-based Multimodal Sentiment Recognition","authors":"Pankaj Gupta, Ananya Pandey, Ajeet Kumar, D. Vishwakarma","doi":"10.1109/APSIT58554.2023.10201711","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201711","url":null,"abstract":"Multimodal aspect-based sentiment recognition (MABSR) is a recently developed task in sentiment recognition that tries to assess the sentiment associated with text and image pairings by generally extracting the polarity terms from the pairs. Both the pipeline and the unified transformer based technique, which employs the cross-attention only mechanism, have been widely utilized in recent works. However, the alignment between text and picture is not openly and reliably included in these approaches. There is still a minimum threshold of aligned image-text pairings needed for supervised fine-tuning of said universal transformers for MABSR. Motivated by this observation and inspired by the various attention-only mechanisms, we analyze MABSR and propose an attention-free encoder-based transformer architecture. Dual attention-free based backbone encoder models with cross-modal symmetry are utilized in this work. To improve cross-modal performance, we include two new subtasks: aspect-only extraction and polarity feature representation alignment. This motivates both encoders to provide more precise depictions of multiple modalities.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123869188","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201791
Indurekha Shial, Rajat Kanti Samal, Chinmaya Bhuyan
The integrated form of distributed energy resources make a small-scale power grid called microgrid. Based on the production of electrical energy renewable energy sources are integrated especially wind energy which gives various features to the power system. Here a grid-connected mode of microgrid with wind energy resources is used which offers a positive impact on quality of life, climate change and energy efficiency. In this paper an integrated scheduling model is used to find an optimal solution of distributed energy resource network and depository devices in such a way that both cost and emission are reduced by using General Algebraic Modelling System(GAMS). The results show that this system can efficiently synchronize the power generation of distributed energy system and the fluctuations of wind power production is reduced due to the presence of Energy Storage System (ESS). Such that the system is handling uncertainties correctly in electrical microgrid.
{"title":"Generation Scheduling of Grid Connected Microgrid using GAMS","authors":"Indurekha Shial, Rajat Kanti Samal, Chinmaya Bhuyan","doi":"10.1109/APSIT58554.2023.10201791","DOIUrl":"https://doi.org/10.1109/APSIT58554.2023.10201791","url":null,"abstract":"The integrated form of distributed energy resources make a small-scale power grid called microgrid. Based on the production of electrical energy renewable energy sources are integrated especially wind energy which gives various features to the power system. Here a grid-connected mode of microgrid with wind energy resources is used which offers a positive impact on quality of life, climate change and energy efficiency. In this paper an integrated scheduling model is used to find an optimal solution of distributed energy resource network and depository devices in such a way that both cost and emission are reduced by using General Algebraic Modelling System(GAMS). The results show that this system can efficiently synchronize the power generation of distributed energy system and the fluctuations of wind power production is reduced due to the presence of Energy Storage System (ESS). Such that the system is handling uncertainties correctly in electrical microgrid.","PeriodicalId":170044,"journal":{"name":"2023 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127876637","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 : 2023-06-09DOI: 10.1109/APSIT58554.2023.10201701
S. Ibrahim, Y. Mohamed
In recent years, IP networks have come to rely heavily on network mobility. In spite of the system's adaptability, it ensures constant connectivity to the internet. NEMO Basic Support Protocol (BSP) was suggested by the Internet Engineering Task Force (IETF) to deal with the problem of mobile systems; however, it has a few drawbacks, including high overhead, high inactivity during handoff, and bundle delay. The topic of wasteful NEMO direction turns out to be an interesting research area, especially for the more commonplace, established portable systems. In a simple setting, a number of portable systems gradually include a large number of movable switches. When the mobile device is out of range, all communications to and from the Mobile Networks Nodes must go via the Mobile Router and Home Agent (MR,HA) tunnel. As a result, the package route will be sped up and the bundle delivery time will increase. Route optimization in a layered mobile network was explored in an Internet Engineering Task Force Request for Comment (IETF RFC 4889) as a means to circumvent such limits. This study proposes a novel paradigm to improve the functionality of layered networks. The approach is built on polling a subset of routers to determine which will be in charge of the routing process, and then directing all communications via those routers rather than using the more complex higher-level mobile networks. The proposed model has less end-to-end latency than NEMO BSP. This model was run with OPNET v14.5, an optimization tool for network simulations. Top-level nested simulations resulted in a 5% reduction in end-to-end latency. Nesting at the intermediate level reduced end-to-end latency by 10%. At the third level of nesting, a 14% reduction in end-to-end latency was realized. All this considering just three levels of nesting, thus, when the nesting depth is raised, the results improve. Using smarter routers, this model may be improved to achieve best-case outcomes, making it one of the best suggested solutions for the routing constraints of layered mobile networks.
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