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5th international conference on Smart Energy systems and Technologies (SEST)

作者： van Kempen, Sanne Zwart, Bert CWI Amsterdam Netherlands Eindhoven Univ Technol Eindhoven Netherlands

ISBN: (数字)9781665405577

ISBN: (纸本)9781665405577

We consider a dynamic model of electric vehicle (EV) charging in a power distribution grid. We introduce uncertainty in the demand side, arising through consumer behavior, as well as the supply side, to account for intermittent renewable energy sources (RES). By developing a fluid approximation, we show that the invariant point of the stochastic process can be obtained by solving an AC-OPF problem with an exact convex relaxation, thereby creating a deterministic and computationally efficient analysis of the charging capacity of the network. We illustrate the accuracy of our fluid approximation by detailed simulation studies. Next to that, we use the model to assess both the impact of RES generation and the physical location of RES in the network. this way, we create a measure for the positioning of additional RES or local energy storing systems.

关键词： Stochastic processes electric vehicle charging distribution network AC power flow linearized Distflow fluid approximation distributed generation

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Enhancing GPS Position Estimation Using Multi-sensor Fusion and Error-State Extended Kalman Filter 6

Enhancing GPS Position Estimation Using Multi-Sensor Fusion ...

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6th ieee international conference on distributed computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2022

作者： Aravind, A. Ashwin, V. Chandeep, S. Yasaswi, P.S.S.S. Gandhiraj, R. Sundaram, Ga Shanmugha Research Lab Amrita School of Engineering Department of Electronics and Communication Engineering Coimbatore India

ISBN: (数字)9781665487160

ISBN: (纸本)9781665487160

An optimally designed GPS receiver can typically achieve 3-5 meters accuracy. this accuracy is insufficient for autonomous navigation where the margin of error must be low. Some existing sensor fusion approaches (IMU and GPS fusion using EKF) can achieve 2-3 meters (average error of 2.66 meters) accuracy, but the existing systems cannot function if the GPS receiver is not functional. Other modern techniques like Differential GPS are expensive to implement. Hence an accurate, cost-effective, and available alternative is required. As an alternative to Conventional GPS which typically has an accuracy of 3-5m which is not sufficient for autonomous navigation, a system that consists of data from LiDAR, IMU, and GPS has been implemented using sensor fusion with the help of error state extended Kalman filter. the implemented system was put to test using data synthesized from Carla Simulator. the proposed system was shown to have improved accuracy by reducing the position error by nearly 95%. © 2022 ieee.

关键词： Global positioning system

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Design and Characterization of a Fully 3D Printed Vision-Based Micro-Force sensor for Microrobotic Applications 5

Design and Characterization of a Fully 3D Printed Vision-Bas...

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5th international conference on Manipulation, Automation, and Robotics at Small Scales (MARSS)

作者： Adam, Georges Ulliac, Gwenn Clevy, Cedric Cappelleri, David J. Purdue Univ Sch Mech Engn 534 Gates Rd W Lafayette IN 47907 USA Univ Bourgogne Franche Comte UMR CNRS 6174 FEMTO ST Inst Besancon France Purdue Univ Weldon Sch Biomed Engn 206 S Martin Jischke Dr W Lafayette IN USA

ISBN: (数字)9781665459730

ISBN: (纸本)9781665459730

Over the years, research and development into micro-force sensing techniques has gained a lot of traction, especially for microrobotic applications, such as micromanipulation and biomedical material characterization studies. Moreover, in recent years, new microfabrication techniques have been developed, such as two-photon polymerization (2PP), which enables fast prototyping, high resolution features, and the utilization of a wide range of materials. In this work, these two fields are combined to realize the first fully 3D printed vision-based micro-force sensor. the sensor exhibits tunable stiffness properties, which are simulated and compared with calibration values for a variety of 2PP printing settings. Lastly, the sensors are used to measure the mechanical properties of fish eggs as a cell analog to showcase the possible applications of the system.

关键词： Printing three-dimensional displays Shape Microfabrication Robot sensing systems Mechanical variables measurement Mechanical factors

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IoT Solution for Automatic Watering System 5

IoT Solution for Automatic Watering System

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5th international conference on Contemporary computing and Informatics, IC3I 2022

作者： Harika, Chittem Singh, Dalwinder Singh, Arun Rakhra, Manik Lovely Professional University School of Computer Science and Engineering Punjab Phagwara India Lovely Professional University Department of Computer Science and Engineering Punjab Phagwara India

ISBN: (纸本)9798350398267

All living things - animals, plants, and people - need water to survive. the ability of roots to absorb vital nutrients from the soil makes water crucial for plants. We can't water our plants when we are away from them when they need it. One's life should be focused on maintaining the issue of plant conservation. the soil fertility of the plant will suffer and there will be water waste if the water is not planted regularly. Additionally, excessive watering damages the soil. this system uses a mobile application with ON and OFF settings to control the water motor or water the plant automatically depending on sensor readings. the soil fertility sensor keeps tabs on the soil's fertility. One of the primary problems in plant and garden regions is plant watering. the system facilitates water management decisions and uses a GSM module to monitor the entire system. this gives the system networking capabilities. this is a suggestion for a low-cost, easily maintainable automatic plant watering system that includes sensors to gauge the humidity, flora, temperature, and moisture of the plant as well as the surrounding air. © 2022 ieee.

关键词： Wireless sensor networks

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PPG-based Heart Rate Estimation with Efficient sensor Sampling and Learning Models 24

PPG-based Heart Rate Estimation with Efficient Sensor Sampli...

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24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Zhang, Yuntong Xu, Jingye Xie, Mimi Wang, Wei Ye, Keying Wang, Jing Zhu, Dakai The University of Texas Department of Computer Science San Antonio United States The University of Texas Department of Management Science and Statistics San Antonio United States College of Nursing Florida State University United States

ISBN: (纸本)9798350319934

Recent studies showed that Photoplethysmography (PPG) sensors embedded in wearable devices can estimate heart rate (HR) with high accuracy. However, despite of prior research efforts, applying PPG sensor based HR estimation to embedded devices still faces challenges due to the energy-intensive high-frequency PPG sampling and the resource-intensive machine-learning models. In this work, we aim to explore HR estimation techniques that are more suitable for lower-power and resource-constrained embedded devices. More specifically, we seek to design techniques that could provide high-accuracy HR estimation with low-frequency PPG sampling, small model size, and fast inference time. First, we show that by combining signal processing and ML, it is possible to reduce the PPG sampling frequency from 125 Hz to only 25 Hz while providing higher HR estimation accuracy. this combination also helps to reduce the ML model feature size, leading to smaller models. Additionally, we present a comprehensive analysis on different ML models and feature sizes to compare their accuracy, model size, and inference time. the models explored include Decision Tree (DT), Random Forest (RF), K-nearest neighbor (KNN), Support vector machines (SVM), and Multi-layer perceptron (MLP). Experiments were conducted using both a widely-utilized dataset and our self-collected dataset. the experimental results show that our method by combining signal processing and ML had only 5 % error for HR estimation using low-frequency PPG data. Moreover, our analysis showed that DT models with 10 to 20 input features usually have good accuracy, while are several magnitude smaller in model sizes and faster in inference time. © 2022 ieee.

关键词： Nearest neighbor search

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Robust distributed Algorithm for Building Closed-Chain Formations by Homogeneous Robotic Teams, with Establishing Informational Connectivity* 5

Robust Distributed Algorithm for Building Closed-Chain Forma...

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5th international conference on Control, Robotics, and Intelligent System, CCRIS 2024

作者： Konovalov, Petr A. Matveev, Alexey S. Mathematical Robotics Science Division "Sirius University" Olimpiyskiy ave. b.1 Krasnodar region Sirius City354340 Russia Department of Mathematics and Mechanics Saint Petersburg University Universitetskii pr. 28 Petrodvodetz St. Petersburg198504 Russia

ISBN: (数字)9781510685871

ISBN: (纸本)9781510685864

A homogeneous team of an unknown size consists of indiscernible mobile robots that carry no communication facilities and cannot play distinct roles and so should be driven a common control rule. the state of any robot is partly described by the value of its output variable, which is scalar and cyclic, like, e.g., an angular measure;the length of the cycle is unknown in general. Robots with complex second-order dynamics and uncertainties are treated, their speeds and control signals are confined within a priori bounds. Every robot has access only to its own speed and to the relative outputs of any peer that is within a finite "visibility range" if nothing "obscures" the view to the peer. A distributed continuous-time computationally cheap protocol is offered that achieves a situation where the outputs of the robots are evenly distributed over the cycle and evolve according to a given common speed profile. this protocol does not use the neighbor’s relative speeds, ensures theoretically exact convergence to the targeted deployment, succeeds in the absence of the initial informational connectivity of the team, is robust against losses and insertions of team members, and excludes collisions among the robots. these findings are illustrated via application to a platoon of wheeled robots performing a sentry mission on a rough terrain with unknown and unpredictably changing road conditions. the proposed algorithm is justified by a mathematically rigorous convergence result;its performance is confirmed by computer simulation tests. © 2024 SPIE.

关键词： Continuous time systems

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SmartON: Just-in-Time Active Event Detection on Energy Harvesting systems 17

SmartON: Just-in-Time Active Event Detection on Energy Harve...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee DCOSS)

作者： Luo, Yubo Nirjon, Shahriar Univ N Carolina Dept Comp Sci Chapel Hill NC 27515 USA

ISBN: (纸本)9781665439299

We propose SmartON, a batteryless system that learns to wake up proactively at the right moment in order to detect events of interest. It does so by adapting the duty cycle to match the distribution of event arrival times under the constraints of harvested energy. While existing energy harvesting systems either wake up periodically at a fixed rate to sense and process the data, or wake up only in accordance with the availability of the energy source, SmartON employs a three-phase learning framework to learn the energy harvesting pattern as well as the pattern of events at run-time, and uses that knowledge to wake itself up when events are most likely to occur. the three-phase learning framework enables rapid adaptation to environmental changes in both short and long terms. Being able to remain asleep more often than a CTID (charging-then-immediate-discharging) wake-up system and adapt to the event pattern, SmartON is able to reduce energy waste, increase energy efficiency, and capture more events. To realize SmartON we have developed a dedicated hardware platform whose power management module activates capacitors on-the-fly to dynamically increase its storage capacitance. We conduct both simulation-driven and real-system experiments to demonstrate that SmartON captures 1X-7X more events and is 8X-17X more energy-efficient than a CTID system. All source code and hardware design files are open-sourced(1).

关键词： Event detection Power system management Capacitance Energy efficiency Hardware Software sensor systems

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A Switching Method of Feeder Automation Control Strategy Based on 5G Communication Delay 4

A Switching Method of Feeder Automation Control Strategy Bas...

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4th international conference on Smart Power and Internet Energy systems (SPIES)

作者： Zhang, Pan Wu, Bin Zheng, Yue Wang, Luze Zhou, Xia Zhang, Tengfei State Grid Tianjin Elect Power Co Elect Power Res Inst Tianjin Peoples R China State Grid Tianjin Elect Power Co State Grid Tianjin Peoples R China Nanjing Univ Posts & Telecommun Coll Automat Nanjing Peoples R China Nanjing Univ Posts & Telecommun Coll Artificial Intelligence Nanjing Peoples R China

ISBN: (纸本)9781665489577

distributed feeder automation in 5G(5th Generation Mobile Communication Technology) communication has the ability to handle faults quickly, which can significantly improve the reliability of power supply. However, 5G communication has the characteristics of uncertain time delay, which makes it difficult to meet the requirements of high real-time communication interaction between feeder terminals. A switching method of feeder automation control strategy based on 5G communication delay is proposed. Firstly, a method for calculating the overall real-time communication delay of the feeder automation system is proposed;then, the communication delay interval is preset according to the communication requirements of the distributed feeder automation system;Finally, the real-time communication delay is compared with the preset communication delay interval, and the feeder automation strategy of the distribution network is switched according to the comparison result. the simulation results show that this method can overcome the influence of the uncertain delay of 5G communication on the distributed feeder automation system, effectively improve the speed of transfer and recovery of the distribution network after a fault, and ensure the safety of the operation of the distribution network.

关键词： distributed feeder automation 5G communication communication delay strategy switching

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Reliability evaluation method of distribution network considering the integration impact of distributed integrated energy system

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ENERGY REPORTS 2022年 8卷 422-432页

作者： Wu, Jianzhang Zheng, Jianyong Mei, Fei Li, Kai Qi, Xiaojing Southeast Univ Sch Elect Engn 2 Sipailou Nanjing 210096 Peoples R China Southeast Univ Suzhou Res Inst 339 Linquan Rd Suzhou 215123 Peoples R China Hohai Univ Coll Energy & Elect Engn 1 Xikang Rd Nanjing 210024 Peoples R China

In modern power system, the connection between distribution network and distributed integrated energy system is becoming increasingly prevalent, which greatly influenced the operation strategy and reliability of the traditional distribution network. To evaluate the reliability of distribution network more precisely, a reliability evaluation method considering the integration impact of distributed integrated energy system is proposed. Firstly, the structure and mathematical model of the united energy system are described. Secondly, taking the minimum sum of operation and load reduction cost as the objective function, the optimal load reduction models of distribution network and distributed integrated energy system are established. Due to the interest game between these two systems, analytical target cascading theory is applied to deal with the decoupling of these two models. thirdly, the reliability evaluation of the united system is performed based on Monte Carlo Simulation method. the simulation study of a modified ieee RBTS system with a distributed integrated energy system indicates the effectiveness of the proposed method. (C) 2022 Published by Elsevier Ltd.

关键词： Distribution network distributed integrated energy system Reliability evaluation Analytical target cascading

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Differential Protection of Active Distribution Networks Based on 5G Communication Technology 5

Differential Protection of Active Distribution Networks Base...

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5th ieee international Electrical and Energy conference, CIEEC 2022

作者： Liu, Zhiren Dai, Jian Chen, Kai Zhu, Xinrong Xie, Jinghua Fang, Tianyu Wuxi Power Supply Branch of State Grid Jiangsu Electric Power Co. Ltd. Wuxi214061 China

ISBN: (数字)9781665411042

ISBN: (纸本)9781665411042

the increasing penetration of distributed generations (DGs) challenges the reliability and safety operation of distribution networks. Conventional relay protection schemes usually ignore the detail features of DGs as well as the power electronics interfaces. Besides, the conventional communication technology cannot meet the requirements of modern power systems. For these reasons, a differential protection scheme based on 5G communication technology considering the transient characteristics of DGs is proposed in this paper. the parameters and the communication structure for the protection is designed. Moreover, the relay protections using different communication technology have been compared. Simulation results are provided to verify the effectiveness of the proposed protection scheme. © 2022 ieee.

关键词： distributed power generation

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