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检索条件"任意字段=3rd IEEE International Conference on Distributed Computing in Sensor Systems"

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Mitigating System Imbalance Using Enhanced Droop Control in Decentralized Microgrids

Mitigating System Imbalance Using Enhanced Droop Control in ...

引用

international conference on Control, Instrumentation, Energy and Communication (CIEC)

作者： Md Ashikul Islam Md Saidur Rashid Mahin Shaharier Kabir Abu Shufian Dept. of Electrical Engineering Lamar University Texas USA Dept. of Electrical and Electronic Engineering American International University-Bangladesh Dhaka Bangladesh

Power imbalance poses a significant challenge in decentralized microgrids because of the dynamic nature of distributed Energy Resources (DERs) and varying load conditions. Conventional voltage droop control methods, while effective in maintaining voltage stability, may not adequately address voltage imbalances caused by unevenly distributed loads or variable generation profiles. This research investigates the implementation of enhanced voltage, power and frequency droop control strategies to mitigate voltage, power and frequency imbalances in decentralized microgrids. The study focuses on optimizing the droop control parameters and integrating supplementary control mechanisms to achieve improved voltage, power and frequency regulation and distribution among DERs. Simulation-based analysis and experimental validation will be conducted to assess the performance and effectiveness of the proposed enhanced voltage, power, and frequency droop control approach in diverse microgrid scenarios. The proposed system has balanced by droop controller within 0.1 to 0.3 sec. This finding provides valuable insights into mitigating voltage, power, and frequency imbalance challenges, enhancing microgrid stability, and ensuring reliable operation of decentralized energy systems.

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Teleconsultation and Human Parameter Monitoring system using Arduino UNO and NODE MCU 3

Teleconsultation and Human Parameter Monitoring system using...

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3rd international conference on Communication, computing and Industry 4.0, C2I4 2022

作者： Samantaray, Rashmi Rani Azeez, Abdul Hegde, Nayana Surendiran, J. Mohammadi, Syeda Husna Tabassum, Zahira HKBK College of Engineering Department of Electronics and Communication Engineering Bengaluru India Reva University Department of Electronics and Communication Engineering Bengaluru India

ISBN: (纸本)9781665474979

In this paper, we propose a model named Virtual Doctor- Teleconsultation and Parameter Monitoring System' which provides some usefulness of providing medication and helps in gauging the essential parameters (Heart rate, Temperature and SpO2) and UVC (Ultraviolet sort C) sterilization unit for the sensors. During the ongoing situation, diminishing the human-to-human contact in emergency clinics is required. In a bid, to keep specialists and clinical staff from getting impacted by Coronavirus, the job of medication conveying robots are being developed. We can attain the Locomotion procedure of the robot using telegram bot and live video streaming by ESP32-Camera. The working principle is that the Doctor or the Nurse can control the moment of entire model by observing surroundings using a camera and commanding through a mobile application. For this model, we are utilizing the essential microcontroller, that is to say, Arduino UNO. We were effective in taking readings with the assistance of a sensors and had the option to supply capacity to the UVC light in which it cleaned the articles inside the unit when it was uncovered for 2-3 minutes. Lastly, the robot had the option to move effectively with the assistance of Arduino and Wi-Fi arrangement. All the data will be successfully sent to the Doctor's smartphone using Telegram application and NodeMCufor internet connectivity. © 2022 ieee.

关键词： Arduino UNO ESP32-CAM and Locomotion NodeMCU sensor (Heart rate Telegram Temperature and SpO2)

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The Analog Data Online Processing Method Oriented to distributed Architecture 3

The Analog Data Online Processing Method Oriented to Distrib...

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3rd ieee international conference on Civil Aviation Safety and Information Technology, ICCASIT 2021

作者： Wang, Dan Xiangwei, Kong Feng, Li Institute of Measurement and Testing Technology Chinese Flight Test Establishment Xi'an China

ISBN: (纸本)9781665425186

As civil aircraft airworthiness certification requires more and more time precision of analog data and more and more data processing efficiency of flight test tasks, the traditional analog data processing methods can not meet the requirements. And the traditional method processing process is complex, the time is longer, the temporary intermediate file data quantity is big, so this paper research a data online processing method for distributed architecture, through calculating the data sample point of absolute time to improve the precision of the resulting file time, then a new analog data format is designed as the data source of the distributed computing. Finally, the analog data processing component based on distributed computing technology is developed, realize data network processing and improve the efficiency of data processing. © 2021 ieee

关键词： Efficiency

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distributed Classification by Divide and Conquer Approach

Distributed Classification by Divide and Conquer Approach

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computing and Machine Intelligence (ICMI), international conference on

作者： Max Y. Chen Qiang Wu Illinois Mathematics and Science Academy Aurora IL USA Department of Mathematical Sciences Middle Tennessee State University Murfreesboro TN USA

ISBN: (数字)9798350372977

ISBN: (纸本)9798350372984

In this paper, we investigate the efficacy of the divide and conquer approach for implementing distributed lo-gistic regression and distributed support vector machine (SVM) algorithms for classification of large-scale datasets. This approach is designed to handle datasets that exceed the capacity of a single processor, necessitating the partitioning of data into multiple subsets. Logistic regression or SVM is then applied to each subset, yielding individual local classifiers. Subsequently, a global classifier is derived by aggregating these local classifiers to make the final decision. We propose three strategies for the aggregation stage: voting based on predicted labels, averaging of real-valued predictions, and averaging of posterior probabilities. Our analysis reveals that for distributed logistic regression, probability averaging is the most robust approach and is there-fore recommended. Conversely, in the context of distributed SVM, probability averaging requires additional modeling but has a minimal impact on the performance. Therefore, functional averaging is recommended instead.

关键词： Support vector machines Context Logistic regression Posterior probability Computational modeling Vectors Partitioning algorithms

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Healthcare System Using IoT and Health Monitor Website

Healthcare System Using IoT and Health Monitor Website

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Industrial Electronics: Developments & Applications (ICIDeA), ieee international conference on-

作者： Priyanka Vijay Tandalekar Khushi Avinash Kokane Shruti Devendra Gokulpure Aditi Prashant Deshmukh Rashmi Panherkar Amruta Udapurkar Department of Electrical Engineering JSPM's Rajarshi Shahu College of Engineering Pune India

ISBN: (数字)9798331533205

ISBN: (纸本)9798331533212

Technological advancements and the miniaturization of sensors have prompted initiatives to implement these innovations in diverse fields, aiming to enhance the standard of living for individuals. A notable domain that has adopted this technology is the healthcare industry. Individuals requiring healthcare services often encounter high costs, a situation that is especially prevalent in developing nations. Consequently, the project aims to address a pressing healthcare issue that societies are currently facing, with the primary goal of developing a remote healthcare system. By analyzing data via a website, healthcare professionals or guardians can monitor a patient's health status from outside the hospital environment. In this initiative, we have designed a tailored Internet of Things (IoT) framework specifically aimed at healthcare applications. The project's aim was to establish a Health Analyzing System that employs locally sourced sensors, ensuring its cost-effectiveness for potential large-scale production. The suggested model gets the sensor data via the Arduino Nano microcontroller and sends the data to the cloud for processing and analysis., thereby facilitating remote access. The feedback actions derived from the analyzed data can be viewed on the website associated with the device.

关键词： Temperature sensors Temperature measurement Cloud computing Hospitals Medical services sensor systems Real-time systems sensors Internet of Things Monitoring

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Hierarchical Clustering Routing Algorithm for Wireless sensor Networks

Hierarchical Clustering Routing Algorithm for Wireless Senso...

引用

Information Technology,Big Data and Artificial Intelligence (ICIBA), international conference on ieee international conference on

作者： Ni Chen Rong Wen Shuying Ma Ping Wang School of Network and Communication Engineering Chengdu Technological University Chengdu China National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu China

Aiming at the problem that the uneven node distribution and the limited energy of nodes in wireless sensor networks, a clustering routing algorithm for wireless sensor networks based on hierarchical clustering is proposed. No need to calculate the optimal number of cluster heads in advance. Randomly distributed nodes in the network were divided into several original clusters according to the hierarchical clustering algorithm. During network working, the clusters were selected according to node residual energy and position in the original clusters. The cluster head got the distance of the node farthest from it within the original cluster and used that distance as the communication range for sending broadcast messages. Ordinary nodes chose to communicate with the cluster head of the same original cluster or with the sink node depending on the distance. The simulation results show that the algorithm can reasonably complete the clustering and better extend the network life cycle compared with LEACH and KM-LEACH.

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Adaptive Protection Coordination Scheme for Distribution System under Penetration of distributed Generation 3

Adaptive Protection Coordination Scheme for Distribution Sys...

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3rd international conference on High Voltage Engineering and Power systems, ICHVEPS 2021

作者： Tambun, Ra Crystal S. P. Banjar-Nahor, Kevin M. Hariyanto, Nanang Rahman, Fathin Saifur Rahmani, Rizky Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia

ISBN: (纸本)9781665443548

Proper design of protection scheme is one of the problems that arise when distributed generation penetration increases. This is due to the changes in system condition from previously radial to multi-source causing modifications of the magnitude and flow of the fault current. Therefore, the conventional protection schemes that do not consider the direction of the current flow become insufficient to protect the system. Therefore, adaptive protection scheme that can adjust its settings dynamically depending on the condition of the system is needed to keep the system safe. The proposed adaptive protection scheme is tested on the ieee 3-bus test system on two conditions, the absence and presence of distributed generation. The algorithm is implemented on MATLAB and then verified on Power Factory 2020 to test its effectivity to clear the 3 phases, 2 phases, phase-ground and 2 phases - ground fault current. This algorithm also uses current contribution to prevent the occurrence of protection blinding and sympathetic tripping on this protection scheme. The proposed protection scheme is able to maintain the selectivity of relay operations despite changes in system topology, especially due to distributed generation. © 2021 ieee.

关键词： distributed power generation

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Optimal Sizing and Allocation of distributed Energy Resources using Genetic Algorithms: Case study of the Northern-Benghazi Power

Optimal Sizing and Allocation of Distributed Energy Resource...

引用

Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, ieee international Maghreb Meeting of the conference on

作者： Noureddine Farag Farkash Ahmed Tahir Department of Electrical and Electronics Engineering University of Benghazi Benghazi Libya

The main target is to use genetic algorithms to calculate the optimal location and size of distributed Generation (DG) units for power distribution systems. The algorithm's flexibility allows engineers, electric utilities, and distribution network operators to efficiently integrate new DG units into their current distribution networks by making changes and modifications to locate the optimal DG unit and estimate its optimum size. The proposed method can also improve voltage profiles and reduce total real and reactive power losses. Tests conducted on a section of the Benghazi distribution system show that the decision-making algorithm has acceptable accuracy and is compared against results from NEPLAN software. With the increasing popularity of distributed energy systems worldwide, this method provides solutions to many power system problems.

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Contactless Attendance cum Temperature Detection System with Real-time Alerts 3

Contactless Attendance cum Temperature Detection System with...

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3rd ieee international Virtual conference on Innovations in Power and Advanced computing Technologies, i-PACT 2021

作者： Patra, Dibyayan Agrawal, Anjan Srivastav, Archit Kathirvelan, J. School of Electronics Engineering Vellore Institute of Technology Vellore India Vellore Institute of Technology Department of Sensor and Biomedical Vellore India

ISBN: (纸本)9781665426916

Since the outbreak of the global pandemic (Covid-19) caused by the coronavirus, contactless systems have become widely prevalent. Partial operation of offices, colleges and other workplaces across the country has started. However, in such situations, it is difficult to monitor and track the status of the health of every attendee and employee. In this paper, we aim to build a smart automated contactless attendance system that can also track attendee's temperature, which too is done in a contactless fashion. In the case that an attendee has an abnormally high temperature, the respective authorities are informed and the employee is prohibited from entry to their workplace, considering the safety of the other employees. We have also incorporated concepts of cloud monitoring and computing to be able to monitor the details of every attendee from anywhere using an internet connection. Moreover, cloud computing helps us to analyse this data and generate automated alerts when needed. © 2021 ieee.

关键词： Personnel

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Development of a Software Tool for Power Flow Analysis in a distributed Generation Integrated Radial Distribution System 3

Development of a Software Tool for Power Flow Analysis in a ...

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3rd international conference on Electrical Engineering, EECon 2021

作者： Guruge, Pasan Kodikara, Asini Karunasena, Panduka Widanagama Arachchige, Lidula N. Department of Electrical Engineering University of Moratuwa Moratuwa Sri Lanka

ISBN: (纸本)9781665417129

Distribution system power flow analysis has significant differences when compared with that of transmission systems owing to their special topological properties. Hence, application of conventional power flow methods on ill-conditioned distribution systems brings out unsatisfactory results. Integration of distributed generation has caused the distribution system to become no longer passive in nature, highlighting the importance of more precise algorithms for power flow analysis. Solving power flow problems, which are mostly based on solving systems of non-linear algebraic equations can be efficiently done using software tools. However, most of the available software tools are focused on transmission systems and are very expensive. This study focuses on coming up with a software tool to solve power flow problems in distributed generation integrated radial distribution systems, which can be used as a teaching tool at universities. The proposed algorithm is based on the Forward Backward Sweep Method, and attempts have been made to model each distribution system component in a way that reflects the system parameters reasonably. Algorithm was tested on standard ieee 4 Bus system, ieee 13 Bus system and ieee 15 Bus system, and the results were analyzed to assess the validity of the proposed algorithm. © 2021 ieee

关键词： distributed power generation

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