Pub Date : 2022-06-06DOI: 10.36548/jsws.2022.1.005
N. Krishnaraj
Network lifetime enhancement is one of the primary goals for all the Wireless Sensor Network (WSN) applications. Clustering process helps the WSNs to improve its lifetime by forming a group with nearby sensor nodes. A primary node called cluster head is elected from the group for managing the data transmission from the other clustering groups to the basic sensor nodes. Also, the cluster heads are placed to transfer the signal collected from its sensor nodes to the base stations. Identifying an optimum node for making it as a cluster head is a challengeable process for many WSN applications. The proposed work is employed with a neural network algorithm for electing a cluster head by analyzing the residual energy, base station distance and neighbor sensor counts. The experimental work carried out in the paper indicates a betterment on survival node time and energy consumption.
{"title":"Selection of Cluster Head in Wireless Sensor Network using Convolution Neural Network Algorithm","authors":"N. Krishnaraj","doi":"10.36548/jsws.2022.1.005","DOIUrl":"https://doi.org/10.36548/jsws.2022.1.005","url":null,"abstract":"Network lifetime enhancement is one of the primary goals for all the Wireless Sensor Network (WSN) applications. Clustering process helps the WSNs to improve its lifetime by forming a group with nearby sensor nodes. A primary node called cluster head is elected from the group for managing the data transmission from the other clustering groups to the basic sensor nodes. Also, the cluster heads are placed to transfer the signal collected from its sensor nodes to the base stations. Identifying an optimum node for making it as a cluster head is a challengeable process for many WSN applications. The proposed work is employed with a neural network algorithm for electing a cluster head by analyzing the residual energy, base station distance and neighbor sensor counts. The experimental work carried out in the paper indicates a betterment on survival node time and energy consumption.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79200403","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 : 2022-06-06DOI: 10.36548/jsws.2022.1.006
Dinesh Kumar Anguraj
Wireless sensor networks consists of nodes that are connected via wireless links and collaborate to self-organize into a network without utilizing any centralized infrastructure. Sensor networks encompass a wide range of paradigms and from that this research study focuses on the mobile networks, which recently significant potential for public/commercial environments and emergency disaster management services. Despite the hype, the wireless mobile networks are also experiencing the challenges such as communication failure, power consumption and network lifetime challenges. This paper presents a hybrid K-Means and Logistic Regression (LR) based algorithm to build a time sensitive multi hop communication to identify the shortest path to the base station and establish a flawless long distance communication. The proposed model metrics are defined to handle an emergency search and rescue operations in India. The NS2 simulator has been used to simulate the efficiency of the proposed model. The following metrics are utilized to analyse the performance: energy consumption, packet delivery ratio (PDR) and network lifetime.
{"title":"A Hybrid Wireless Sensor Network Protocol for Time-Sensitive Emergency Operations","authors":"Dinesh Kumar Anguraj","doi":"10.36548/jsws.2022.1.006","DOIUrl":"https://doi.org/10.36548/jsws.2022.1.006","url":null,"abstract":"Wireless sensor networks consists of nodes that are connected via wireless links and collaborate to self-organize into a network without utilizing any centralized infrastructure. Sensor networks encompass a wide range of paradigms and from that this research study focuses on the mobile networks, which recently significant potential for public/commercial environments and emergency disaster management services. Despite the hype, the wireless mobile networks are also experiencing the challenges such as communication failure, power consumption and network lifetime challenges. This paper presents a hybrid K-Means and Logistic Regression (LR) based algorithm to build a time sensitive multi hop communication to identify the shortest path to the base station and establish a flawless long distance communication. The proposed model metrics are defined to handle an emergency search and rescue operations in India. The NS2 simulator has been used to simulate the efficiency of the proposed model. The following metrics are utilized to analyse the performance: energy consumption, packet delivery ratio (PDR) and network lifetime.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"81 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91390416","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 : 2022-05-30DOI: 10.36548/jsws.2022.1.004
Kottilingam Kottursamy
Internet of Things (IoT) aims at being the quickest developing technology, with a huge effect on global life and manufacturing environment. The current mode of communication is either between humans or human and device; however, the concept IoT promises a bright future for the online platform where the mode of communication is machine-machine (M2M). Everything will be automated and smart, with a single tap. An effort has been made in this study to explore the key technologies, new innovative applications of IoT, as well as a comprehensive comparative literature survey. The survey helps in getting better knowledge on various real time applications and its impacts on the daily routine of human lives. The IoT tends to take numerous considerations from the commercial world and research community as a key advancement in the upcoming age of the Internet.
{"title":"Analysis of IoT Enabled Architecture in Various Sectors and their Challenges","authors":"Kottilingam Kottursamy","doi":"10.36548/jsws.2022.1.004","DOIUrl":"https://doi.org/10.36548/jsws.2022.1.004","url":null,"abstract":"Internet of Things (IoT) aims at being the quickest developing technology, with a huge effect on global life and manufacturing environment. The current mode of communication is either between humans or human and device; however, the concept IoT promises a bright future for the online platform where the mode of communication is machine-machine (M2M). Everything will be automated and smart, with a single tap. An effort has been made in this study to explore the key technologies, new innovative applications of IoT, as well as a comprehensive comparative literature survey. The survey helps in getting better knowledge on various real time applications and its impacts on the daily routine of human lives. The IoT tends to take numerous considerations from the commercial world and research community as a key advancement in the upcoming age of the Internet.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"33 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77868472","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 : 2022-05-30DOI: 10.36548/jsws.2022.1.003
K. Rahimunnisa
The rise of the Internet of Things (IoT) driven smart cities is progressively revolutionizing different aspects of human life, including transportation, communication, health, automotive and security. Several IoT initiatives and experimental setting have been proposed in recent years to establish digital and smart infrastructures. Despite the hype, the COVID-19 pandemic still has an impact on many aspects of urban life, raising concerns about the viability of past and contemporary patterns of urban design and growth. The COVID-19 epidemic has significantly altered everyday lives, damaged the economy of several countries, affected global economic goals, and so on. In such cases, it is highly required to initiate a research discussion on the influence of COVID-19 in smart cities. Several researchers and policymakers have previously recognized the need for improved smart city infrastructure. This research study reviews the multiple research discussions that design and develop new urban planning and smart city design paradigms and models in the post-COVID period that reflect the insights gained from the pandemic. The study also discussed how smart cities innovation, operations, and preventive maintenance will be influenced after COVID-19. Finally, the proposed study concluded that the smarter cities equipped with IoT driven technologies will be able to prevent pandemics in the near future.
{"title":"Internet of Things Driven Smart Cities in Post Pandemic Era","authors":"K. Rahimunnisa","doi":"10.36548/jsws.2022.1.003","DOIUrl":"https://doi.org/10.36548/jsws.2022.1.003","url":null,"abstract":"The rise of the Internet of Things (IoT) driven smart cities is progressively revolutionizing different aspects of human life, including transportation, communication, health, automotive and security. Several IoT initiatives and experimental setting have been proposed in recent years to establish digital and smart infrastructures. Despite the hype, the COVID-19 pandemic still has an impact on many aspects of urban life, raising concerns about the viability of past and contemporary patterns of urban design and growth. The COVID-19 epidemic has significantly altered everyday lives, damaged the economy of several countries, affected global economic goals, and so on. In such cases, it is highly required to initiate a research discussion on the influence of COVID-19 in smart cities. Several researchers and policymakers have previously recognized the need for improved smart city infrastructure. This research study reviews the multiple research discussions that design and develop new urban planning and smart city design paradigms and models in the post-COVID period that reflect the insights gained from the pandemic. The study also discussed how smart cities innovation, operations, and preventive maintenance will be influenced after COVID-19. Finally, the proposed study concluded that the smarter cities equipped with IoT driven technologies will be able to prevent pandemics in the near future.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74767380","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 : 2022-05-26DOI: 10.36548/jtcsst.2022.1.006
S. Lavanya, Philip Naveen
The most common disease that is found among people across the world is Diabetes and it is predicted to increase more in the upcoming years by The World Health Organization (WHO). People who are diabetic for a longer period are more likely to have Diabetic Retinopathy (DR), an eye disease which can lead to blindness and this cannot be reversed. One of the severe stage problems of DR is Retinal Neovascularization (RN), i.e., outburst of retinal blood vessels. Residual Network (ResNet) has an effective technique called Skip or Residual Connections which solves the problem of vanishing gradient during backpropagation. ResNet50 has 50 layers which is a deep network that omits signal representations and learns from residual representations leading to predict RN with 88.97% accuracy.
{"title":"Detection of Retinal Neovascularization Using Optimized Deep Convolutional Neural Networks","authors":"S. Lavanya, Philip Naveen","doi":"10.36548/jtcsst.2022.1.006","DOIUrl":"https://doi.org/10.36548/jtcsst.2022.1.006","url":null,"abstract":"The most common disease that is found among people across the world is Diabetes and it is predicted to increase more in the upcoming years by The World Health Organization (WHO). People who are diabetic for a longer period are more likely to have Diabetic Retinopathy (DR), an eye disease which can lead to blindness and this cannot be reversed. One of the severe stage problems of DR is Retinal Neovascularization (RN), i.e., outburst of retinal blood vessels. Residual Network (ResNet) has an effective technique called Skip or Residual Connections which solves the problem of vanishing gradient during backpropagation. ResNet50 has 50 layers which is a deep network that omits signal representations and learns from residual representations leading to predict RN with 88.97% accuracy.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81619951","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 : 2022-05-26DOI: 10.36548/jitdw.2022.1.006
K. Vidya, S. Janani
For assessing customer sentiment in Amazon product reviews, this article compares two machine learning algorithms and a deep learning method, BERT (Bidirectional Encoder Representations from Transformer). Machine learning is the most practical approach in the current era of artificial intelligence for training a neural network to handle the majority of real-world issues. In this paper, the real-world scenario of sentiment analysis is considered, ideally the classification problem. Firstly, the data is provided into a model, which evaluates the feature that uses the Term Frequency (TF) and Inverse Document Frequency (IDF) pre-processing methods. Secondly, the algorithms, Naive Bayes classifier and Support Vector Machine are used to analyze the sentiment of the consumer comments and compute metrics like F1 score. Finally, the input data is fed for BERT to process and compute the F1 score. To summarize, this study is to provide a detailed comparative analysis of machine learning techniques and deep learning algorithms.
{"title":"Analogy of Machine Learning Approaches and BERT for Sentiment Analysis","authors":"K. Vidya, S. Janani","doi":"10.36548/jitdw.2022.1.006","DOIUrl":"https://doi.org/10.36548/jitdw.2022.1.006","url":null,"abstract":"For assessing customer sentiment in Amazon product reviews, this article compares two machine learning algorithms and a deep learning method, BERT (Bidirectional Encoder Representations from Transformer). Machine learning is the most practical approach in the current era of artificial intelligence for training a neural network to handle the majority of real-world issues. In this paper, the real-world scenario of sentiment analysis is considered, ideally the classification problem. Firstly, the data is provided into a model, which evaluates the feature that uses the Term Frequency (TF) and Inverse Document Frequency (IDF) pre-processing methods. Secondly, the algorithms, Naive Bayes classifier and Support Vector Machine are used to analyze the sentiment of the consumer comments and compute metrics like F1 score. Finally, the input data is fed for BERT to process and compute the F1 score. To summarize, this study is to provide a detailed comparative analysis of machine learning techniques and deep learning algorithms.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"121 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91453923","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 : 2022-05-25DOI: 10.36548/jitdw.2022.1.005
R. Shobha, S. Suntrakanesh, N. Narmadhai
Global warming alerts the world to switch over to using Electric Vehicle (EV) and Hybrid Electric Vehicles (HEV). The Bidirectional DC-DC Converter (BDC) plays a significant role in controlling the energy flow for the Battery Ultra-capacitor Energy Storage System (BUESS) which is used for storing energy in EV or HEV. The bidirectional DC-DC converter (BDC) plays a vital role in controlling the energy flow for BUESS. The bidirectional DC-DC converter performs the step-up and step-down operation at zero voltage switching, as it operates in buck and boost modes. Due to the uncertain nature of renewable energy resources they pose to be not suitable for standalone applications as the only source of power. This problem can be overcome with the aid of batteries and supercapacitors for storing energy. Fast charging is done by a supercapacitor and slow discharging by a battery. A hysteresis control loop achieves the design of charging and discharging status. A BDC in addition to an inverter can be opted and is implemented in MATLAB/Simulink, and is used in AC power applications.
{"title":"DC-DC Converter Implementing Soft Switching Technique for AC Power Applications","authors":"R. Shobha, S. Suntrakanesh, N. Narmadhai","doi":"10.36548/jitdw.2022.1.005","DOIUrl":"https://doi.org/10.36548/jitdw.2022.1.005","url":null,"abstract":"Global warming alerts the world to switch over to using Electric Vehicle (EV) and Hybrid Electric Vehicles (HEV). The Bidirectional DC-DC Converter (BDC) plays a significant role in controlling the energy flow for the Battery Ultra-capacitor Energy Storage System (BUESS) which is used for storing energy in EV or HEV. The bidirectional DC-DC converter (BDC) plays a vital role in controlling the energy flow for BUESS. The bidirectional DC-DC converter performs the step-up and step-down operation at zero voltage switching, as it operates in buck and boost modes. Due to the uncertain nature of renewable energy resources they pose to be not suitable for standalone applications as the only source of power. This problem can be overcome with the aid of batteries and supercapacitors for storing energy. Fast charging is done by a supercapacitor and slow discharging by a battery. A hysteresis control loop achieves the design of charging and discharging status. A BDC in addition to an inverter can be opted and is implemented in MATLAB/Simulink, and is used in AC power applications.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"34 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90830531","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 : 2022-05-25DOI: 10.36548/jtcsst.2022.1.005
A. Kamali, V. Prasanna Moorthy
Microgrids have emerged as a new way to integrate and use large-scale distributed power to provide electricity to isolated locations, such as islands and villages. A utility engineering microgrid structure is designed to provide fast response and efficient operation by analyzing hybrid power systems and fuzzy-PI-based control techniques. This project aims to design a solar photovoltaic (PV)-battery-diesel generator-based hybrid power system employing a Sepic converter. The Perturb and Observe algorithm is used for maximum power extraction from solar panel. A lithium-ion battery is utilized as a storage battery in this system, which may be charged by the PV source. When the storage battery is depleted and PV generation is unavailable, the charging station uses the grid and a diesel generator. The generated voltage is synchronised at the Point of Common Coupling (PCC) to achieve continuous charging. The simulation is done in MATLAB/Simulink. The simulation output of using the PI control strategy is compared with the fuzzy-PI control strategy. This demonstrates the efficacy of the fuzzy-PI control method.
{"title":"Design of Solar and Battery Hybrid Electric Vehicle Charging Station","authors":"A. Kamali, V. Prasanna Moorthy","doi":"10.36548/jtcsst.2022.1.005","DOIUrl":"https://doi.org/10.36548/jtcsst.2022.1.005","url":null,"abstract":"Microgrids have emerged as a new way to integrate and use large-scale distributed power to provide electricity to isolated locations, such as islands and villages. A utility engineering microgrid structure is designed to provide fast response and efficient operation by analyzing hybrid power systems and fuzzy-PI-based control techniques. This project aims to design a solar photovoltaic (PV)-battery-diesel generator-based hybrid power system employing a Sepic converter. The Perturb and Observe algorithm is used for maximum power extraction from solar panel. A lithium-ion battery is utilized as a storage battery in this system, which may be charged by the PV source. When the storage battery is depleted and PV generation is unavailable, the charging station uses the grid and a diesel generator. The generated voltage is synchronised at the Point of Common Coupling (PCC) to achieve continuous charging. The simulation is done in MATLAB/Simulink. The simulation output of using the PI control strategy is compared with the fuzzy-PI control strategy. This demonstrates the efficacy of the fuzzy-PI control method.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"58 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87688531","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 : 2022-05-25DOI: 10.36548/jitdw.2022.1.002
S. Sowmiya, J. C. Miraclin Joyce Pamila
Humans are good at making millions of facial movements during conversation. In interpersonal relationships, the human emotion sensing system is vital. At an older age, automatic emotion recognition is a trendy research problem. Emotions are expressed through personas, hand and body gestures, and facial expressions. Emotion recognition via facial expressions is one of the most important fields in the human-machine interface. The strategy of recognizing emotions from facial expressions is known as facial expression analysis. Emotions are automatically perceived by the human brain, and software that can recognise emotions has recently been developed. This technology is constantly improving, and it will ultimately be able to sense emotions as accurately as human brains. The purpose of this work is to present a survey of emotion detection research using various machine learning techniques. It also summarises the benefits, drawbacks, and limitations of current approaches, as well as the concept's evolution in research.
{"title":"Survey on Emotion Recognition System","authors":"S. Sowmiya, J. C. Miraclin Joyce Pamila","doi":"10.36548/jitdw.2022.1.002","DOIUrl":"https://doi.org/10.36548/jitdw.2022.1.002","url":null,"abstract":"Humans are good at making millions of facial movements during conversation. In interpersonal relationships, the human emotion sensing system is vital. At an older age, automatic emotion recognition is a trendy research problem. Emotions are expressed through personas, hand and body gestures, and facial expressions. Emotion recognition via facial expressions is one of the most important fields in the human-machine interface. The strategy of recognizing emotions from facial expressions is known as facial expression analysis. Emotions are automatically perceived by the human brain, and software that can recognise emotions has recently been developed. This technology is constantly improving, and it will ultimately be able to sense emotions as accurately as human brains. The purpose of this work is to present a survey of emotion detection research using various machine learning techniques. It also summarises the benefits, drawbacks, and limitations of current approaches, as well as the concept's evolution in research.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84205880","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 : 2022-05-25DOI: 10.36548/jtcsst.2022.1.002
G. T. Subham, Rajeswari Ramachandran, Jeevitha Kandasamy, Reshma Muralidharan
Frequency aberration, power quality, and system instability may be caused by the general perception of Renewable Energy (RE). To control the frequency with the tolerable limit, load frequency control is being performed. Automatic Load Frequency Control (ALFC) must be provided with a proper controller. Ziegler-Nichols method is being used to tune the parameters of the Proportional-Integral-Derivative (PID) controller for Load Frequency Control of Hybrid Power System (HPS). Traditional PID controllers are capable of handling a larger varieties of rapid changes in load variations in renewable energy hybrid power systems. This work considers the HPS of 2000 MW power system including RE resources. The OP4510 is utilized for hardware-in-loop (HIL) simulation to test the accomplished controller's real-time applicability. The MATLAB simulation and the Real-Time simulator provide identical results.
{"title":"Automatic Load Frequency Control of Renewable Energy Integrated Hybrid Power System","authors":"G. T. Subham, Rajeswari Ramachandran, Jeevitha Kandasamy, Reshma Muralidharan","doi":"10.36548/jtcsst.2022.1.002","DOIUrl":"https://doi.org/10.36548/jtcsst.2022.1.002","url":null,"abstract":"Frequency aberration, power quality, and system instability may be caused by the general perception of Renewable Energy (RE). To control the frequency with the tolerable limit, load frequency control is being performed. Automatic Load Frequency Control (ALFC) must be provided with a proper controller. Ziegler-Nichols method is being used to tune the parameters of the Proportional-Integral-Derivative (PID) controller for Load Frequency Control of Hybrid Power System (HPS). Traditional PID controllers are capable of handling a larger varieties of rapid changes in load variations in renewable energy hybrid power systems. This work considers the HPS of 2000 MW power system including RE resources. The OP4510 is utilized for hardware-in-loop (HIL) simulation to test the accomplished controller's real-time applicability. The MATLAB simulation and the Real-Time simulator provide identical results.","PeriodicalId":10940,"journal":{"name":"Day 2 Tue, March 22, 2022","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87612574","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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