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检索条件"任意字段=4th IEEE International Conference on Distributed Computing in Sensor Systems"

共 6252 条记录，以下是971-980 订阅

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Optimal Planning of distributed Photovoltaic in Integrated Electricity and Heat systems 4

Optimal Planning of Distributed Photovoltaic in Integrated E...

引用

4th international conference on Energy, Electrical and Power Engineering, CEEPE 2021

作者： Gu, Jiting Zhao, Lebing Zhu, Chao State Grid Zhejiang Economic Research Institute Finance and Planning Department Hangzhou China Zhejiang University College of Electrical Engineering Hangzhou China

ISBN: (纸本)9781665433631

In order to tackle the energy crisis, plenty of researches have focused on the integration of renewable energy, such as the wind power and the distributed photovoltaic (DPV). However, the penetration of DPVs in the individual power system is restricted due to the operational limits. Hence, the integrated electricity and heat system (IEHS) has been developed to improve the system flexibility and enlarge the penetration of DPV. this paper presents an optimal planning method of DPV in IEHS, which formulates the optimization model of DPV planning according to the modeling of the multi-energy networks. In order to reduce the curtailment of DPVs, the penalty cost of DPVs is integrated to the objective of the proposed planning model. Numerical simulation results demonstrate the effectiveness of the proposed planning method. © 2021 ieee.

关键词： Wind power

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6th ieee international Workshop on Wireless Communications and Networking in Extreme Environments (WCNEE) Message from the Workshop Chairs

Proceedings - 18th Annual International Conference on Distri...

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Proceedings - 18th Annual international conference on distributed computing in sensor systems, DCOSS 2022 2022年 XX页

作者： Balasubramaniam, Sasitharan Demirors, Emrecan Guan, Zhangyu Sklivanitis, George University of Nebraska-Lincoln United States Northeastern University United States University at Buffalo United States Florida Atlantic University United States

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Milk Spoilage Detection using Multi-Parameter sensor System

Milk Spoilage Detection using Multi-Parameter Sensor System

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Electronic Communications, Internet of things and Big Data (ICEIB), international conference on

作者： Jereco A. Sario Dante N. Gedaria Mary Ann E. Latina School of Electrical Electronics and Computer Engineering Mapúa University Manila Philippines

ISBN: (数字)9798350360721

ISBN: (纸本)9798350360738

Milk spoilage is an ever-growing problem in the world. 16% of the dairy products exported globally are wasted due to milk spoilage. the purpose of this study was to create a multi-parameter sensor system using the Arduino Mega microcontroller to detect the quality of milk and predict when it spoils. In the prototype, three sensors were used to detect milk spoilage. the results showed that the device measured the spoilage level of the milk for non-fat, low-fat, and fresh milk. the confusion matrix showed that 90% of the testing results met the expected output of the quality of the milk. A multiple regression model was used to predict the quality and the shelf life of the milk.

关键词： Dairy products Microcontrollers Prototypes Predictive models Big Data sensor systems Internet of things

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Two-level Day-ahead Optimal Scheduling of distributed Energy Storage System 4

Two-level Day-ahead Optimal Scheduling of Distributed Energy...

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4th ieee China international Electrical and Energy conference, CIEEC 2021

作者： Wang, Maochun Li, Pai Sang, Zhencheng Fan, Yue Li, Qing Zhou, Wei State Grid Qinghai Electric Power Company QingHai China China Electric Power Research Institute State Key Laboratory of Operation and Control of Renewable Energy Storage Systems Beijing China

ISBN: (纸本)9781728171494

Stochastic characteristics of wind and photovoltaic (PV) power causes great challenge for power system operations. distributed energy storage system (DESS) can mediate the intermittent renewable energy. this paper proposes a two-level optimization method for DESS scheduling. Firstly, DESSs are aggregated in a virtual power plan (VPP) and participates the power scheduling as a whole, the power schedules of DESSs are obtained with the proposed two-level optimization method. Secondly, in the upper-level optimization model, a two-stage stochastic unit commitment model is established with considering power uncertainties, and thermal units as well as VPP of DESS are optimized to maximize the power generation of renewable energy. And then, in the lower-level optimization model, an optimization model is proposed to schedule each DESS in order to minimize the total life loss cost of DESSs. Case studies are inducted based on actual data of a provincial power grid. the effectiveness and practicability of the proposed method is verified by the testing results. © 2021 ieee.

关键词： Stochastic systems

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Reliability Enhancement of Grid with Fault Current Controllers 4

Reliability Enhancement of Grid with Fault Current Controlle...

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4th international conference on Recent Developments in Control, Automation and Power Engineering, RDCAPE 2021

作者： Singh, Vivek Pratap Ansari, M.A. Gautam Buddha University Dept. Of Electrical Engineering Gr. Noida India

ISBN: (纸本)9781665414296

In today's scenario there is an expansion of renewable energy resources because of the increasing electricity demand and concern for environment. Uncertainty due to adoption of distributed generation systems presents significant challenges in grid operation. the main challenge is being the increase in the fault current level. the addition of distributed generators can also affect the existing protection system. Fault current limiter is an attractive solution to regulate levels of fault current. With the help of MATLAB/Simulink software model of resistive type fault current limiter is developed. the simulation model of fault current limiter is applied to a wind and solar farm power grid, respectively. Fault current limiter is tested under different fault limiting conditions and results determine its current limiting capability. © 2021 ieee.

关键词： distributed power generation

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A Real-Time Monitoring Network for Charge Consumption in distributed Energy Stations

A Real-Time Monitoring Network for Charge Consumption in Dis...

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Data Science and Computer Application (ICDSCA), ieee international conference on

作者： Gang Wu Tongxin Yang Kai Mao Bowen Liu Qian Zhang Xinde Chang Chongqing Carbon Energy Technology Co. Ltd. Sichuan Aizhong Comprehensive Energy Technology Service Co. Ltd. Chongqing China School of Computer Science and Engineering Chongqing University of Science and Technology Chongqing China Chongqing Technology and Business University Chongqing China

ISBN: (数字)9798350368239

ISBN: (纸本)9798350368246

Traditional charge consumption prediction methods are hindered by the challenges posed by the dispersed locations of distributed energy stations, the complexity of network planning, and the stringent requirements for operational efficiency, leading to difficulties in providing accurate and efficient forecasts. this paper proposes the VAGnet network, which utilizes a VAE-GAN architecture for predicting charge consumption in distributed energy stations. VAGnet integrates a multi-source heterogeneous information fusion strategy, enabling real-time monitoring across various operational states. A collaborative planning strategy based on multidimensional data sharing is also introduced to enhance real-time tracking accuracy. Experimental results demonstrate that VAGnet can effectively predict charge consumption at future time intervals, significantly improving the efficiency of real-time monitoring systems. this scalable solution meets the growing demands for precision and responsiveness in distributed energy station networks.

关键词： Accuracy Collaboration Computer architecture Prediction methods Market research Real-time systems Planning Forecasting Pattern matching Principal component analysis

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Design of Fertilizer Analysis System for Precision Fertilizer Application

Design of Fertilizer Analysis System for Precision Fertilize...

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Artificial Intelligence, Robotics, and Communication (ICAIRC), ieee international conference on

作者： Qiang Wei Chunling Lang Fei Lu Yuer Chen Yu Huang Kaining Mo Guangxi Science & Technology Normal University Laibin China

ISBN: (数字)9798331531225

ISBN: (纸本)9798331531232

the traditional fertilizer application method relies on experience to apply fertilizer on a large scale, which has problems such as fertilizer waste and environmental pollution, and affects the sustainable development of agriculture. For this reason, this paper designs and realizes a set of precision fertilizer application control systems containing sensors, decision-making, and positioning systems. Among them, the sensor system senses the real-time crop and soil status through soil moisture sensors, temperature sensors, and crop growth sensors; the decision-making system uses a high-performance processor, a variety of data transmission interfaces, data processing, and storage modules, and decision-making algorithm execution units to process and analyze the sensor data and generate the decision of fertilizer application. the localization system is based on the hardware of LIDAR, development boards, etc., as well as the SLAM map building, and AMCL positioning algorithm to achieve accurate positioning; through these three systems to fully regulate the fertilization to achieve precision fertilization.

关键词： Temperature sensors Temperature distribution Decision making Soil moisture Crops Process control sensor systems and applications Control systems Real-time systems Fertilizers

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BigBFT: A Multileader Byzantine Fault Tolerance Protocol for High throughput

BigBFT: A Multileader Byzantine Fault Tolerance Protocol for...

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40th ieee international Performance, computing, and Communications conference (IPCCC)

作者： Alqahtani, Salem Demirbas, Murat SUNY Buffalo Comp Sci Dept Buffalo NY 14260 USA

ISBN: (纸本)9781665443319

this paper describes BigBFT, a multi-leader Byzantine fault tolerance protocol that achieves high throughput and scalable consensus in blockchain systems. BigBFT achieves this by (1) enabling every node to be a leader that can propose and order the blocks in parallel, (2) piggybacking votes within rounds, (3) pipelining blocks across rounds, and (4) using only two communication steps to order blocks in the common case. BigBFT has an amortized communication cost of O (n) over n requests. We evaluate BigBFT's performance both analytically, using back-of-the-envelope load formulas to construct a cost analysis, and also empirically by implementing it in our Pax-iBFT framework. Our evaluation compares BigBFT with PBFT, Tendermint, Streamlet, and Hotstuff under various workloads using deployments of 4 to 20 nodes. Our results show that BigBFT outperforms PBFT, Tendermint, Streamlet, and Hotstuff protocols either in terms of latency (by up to 40%) or in terms of throughput (by up to 190%).

关键词： Byzantine fault tolerance permissioned blockchain distributed ledgers consensus

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Efficient localization method for moving target in distributed MIMO radar systems 6

Efficient localization method for moving target in distribut...

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6th ieee international conference on Intelligent computing and Signal Processing, ICSP 2021

作者： Sun, Ting Dong, Yang-Yang Mao, Yu Zhao, Hai-Ni Dong, Chun-Xi Xidian University School of Electronic Engineering Xian China

ISBN: (纸本)9780738143705

this paper investigates the moving target localization problem in distributed multiple-input multiple-output (MIMO) radar systems using bistatic range (BR) and bistatic range rate (BRR) measurements, which can be obtained via some local sensor signal processing methods. In the first stage, the cost function of the localization problem is re-formulated by augmenting the unknown vector, and then initial estimates of the target position and velocity are given. In the second stage, the estimation error terms of the first stage are estimated by the weighted least square (WLS) technique. To the end, the target position and velocity are refined by subtracting the estimation errors from the outputs of the first stage. Numerical simulation results corroborate the theoretical developments. © 2021 ieee.

关键词： Cost functions

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Non-homogeneous Multi-robot Collaboration for Environment Mapping and Inference 4

Non-homogeneous Multi-robot Collaboration for Environment Ma...

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4th international conference on Robotics, Control and Automation Engineering (RCAE) / 4th international conference on Advanced Mechanical and Electrical Engineering (AMEE)

作者： Hensley, Crockett Patel, Parth Koduru, Charles Tanveer, M. Hassan Kennesaw State Univ Dept Robot & Mechatron Engn Marietta GA 30060 USA

ISBN: (纸本)9781665427302

Multi-robot collaboration is the subject of a great deal of research currently. this interest within the field of robotics is prominent because multiple robots can often complete complex tasks faster and more efficiently than a single robot. the majority of the research being done today is related to homogeneous robotic communities, wherein each robot has the same equipment and limitations. the scenario becomes more challenging by introducing non-homogenous teams of robots. In this paper, we explore a non-homogeneous robotic community where one robot (acting as master) is designated to map an area while a different robot (acting as slave) infers from that map. Such a system is demonstrated to be reliable within a small and primarily static environment using two mobile robots equipped with RGB-D cameras and planar LiDAR sensors. this type of role assignment allows for more specialized equipment for both robots as well as greater optimization of the robots' tasks.

关键词： Multi Robot systems RGB-D cameras Lidar sensor

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