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共 6248 条记录，以下是171-180 订阅

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Optimization Strategy for Combined Heat and Power Microgrids Considering Operational Constraints of distributed Generators and Energy Storage 4

Optimization Strategy for Combined Heat and Power Microgrids...

引用

4th international conference on Energy, Power and Electrical Engineering, EPEE 2024

作者： Chen, Hailiang Zhao, Lian Yu, Feng Xue, Shuilian Nanjing Moral Testing and Certification Co. Ltd. Nanjing China School of Electrical Engineering Nantong University Nantong China

ISBN: (纸本)9798331518066

With the advancement of renewable energy and energy storage systems, microgrid scheduling strategies face both opportunities and challenges. In response, this paper proposes an optimization strategy for combined heat and power microgrids considering the operational constraints of distributed generators and the characteristics of energy storage systems. the strategy introduces heat storage to decouple the heat and power relationship of the combined heat and power system, removing the output constraints of microturbines and electric boilers and enhancing system flexibility. By optimizing the objective function to reduce both electricity and heating costs, the strategy lowers operational costs and improves system reliability. Additionally, this paper develops a scheduling model for a combined heat and power microgrid based on the proposed optimization strategy. Taking the classical grid-connected microgrid as an example, the CPLEX optimization software is used to solve the model and obtain the optimal total cost of the microgrid with the optimal output of each unit. the simulation results provide a comparative strategy assessment, offering insights into optimizing renewable energy utilization and heat and power scheduling. © 2024 ieee.

关键词： Microgrids

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Energy Storage Optimization Planning Considering distributed Photovoltaic Output Characteristics 4

Energy Storage Optimization Planning Considering Distributed...

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4th international conference on Energy Engineering and Power systems, EEPS 2024

作者： Wang, Tianlin Jiang, Jianjian Hu, Shizhao Xu, Liang Dong, Jiadu New Energy Service Center Guangdong Power Grid Co. Ltd Guangzhou China

ISBN: (纸本)9798350366914

Since the vigorous development of new energy sources, the characteristics of photovoltaics have fundamentally influenced the source-end characteristics of distribution networks. Moreover, the compounded differences in characteristics among different loads have increased the difficulty of power balance. Consequently, configuring energy storage is an effective method to address this issue. therefore, this paper proposes an optimized energy storage configuration model considering the characteristics of distributed photovoltaic output. the paper first analyzes the environmental factors affecting photovoltaic output using Pearson correlation coefficient and Spearman correlation coefficient, thereby identifying the primary influencing factors of photovoltaic output. Subsequently, it constructs a photovoltaic output probability model using Latin hypercube sampling and backfitting method, and fits the photovoltaic output scenarios using Beta probability density function. Finally, the paper utilizes an improved particle swarm algorithm to solve the model, achieving rapid convergence of fitness, and validates the effectiveness of the method through a case study of the ieee 33-node system. © 2024 ieee.

关键词： Correlation analysis distributed photovoltaic Energy storage Optimal planning Scene generation-reduction

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sensor Vector Control of Permanent Magnet Synchronous Motor Based on Improved Sliding Mode Observer 4

Sensor Vector Control of Permanent Magnet Synchronous Motor ...

引用

4th international conference on Electrical Engineering and Control Science, IC2ECS 2024

作者： Zhu, Yifei Zhao, Yulu Zhou, Rui Chen, Xinyu Southwest University Chongqing China

ISBN: (纸本)9798331510107

this paper introduces an enhanced method that uses an Extended Kalman Filter and Disturbance Observer to tackle chattering and external disturbance sensitivity in traditional sliding mode observers. It designs discrete sliding mode and disturbance observers for motor models to estimate back EMF more accurately, which improves rotor position estimation in control systems. the method uses a saturation function for sliding mode switching, simplifying parameter tuning, reducing chattering, and enhancing system robustness. Simulations show it reduces observation errors from model mismatch and disturbances, boosting system robustness and accuracy. © 2024 ieee.

关键词： Extended Kalman filters

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Utilizing Carriers for the Energy Node Placement Algorithm in WSNs and IoT Networks 18

Utilizing Carriers for the Energy Node Placement Algorithm i...

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18th Annual international conference on distributed computing in sensor systems (DCOSS)

作者： Temene, Natalie Sergiou, Charalampos Georgiou, Chryssis Vassiliou, Vasos Univ Cyprus Dept Comp Sci Nicosia Cyprus CYENS Ctr Excellence Nicosia Cyprus

ISBN: (纸本)9781665495127

the limitations of the networks of Internet of things (IoTs) and Wireless sensor Networks (WSNs) in terms of computational power, memory and connectivity give rise to several issues that need to be tackled, mostly dynamically, to achieve their tasks. Definitively, a critical factor for the proper operation of these networks is to maintain the connectivity between the nodes, especially in a wireless mesh setting, where communication is performed in hop-by-hop fashion. A method that gains significant research interest for tackling the aforementioned issues is the employment of mobile nodes or as they are frequently called, mobile elements. In this work, we propose a scheme that utilizes carriers to transport mobile nodes to the required points in the network. We provide both a high level description of the concept and also a detailed algorithmic solution. the proposed solution is evaluated through a case study, where hot-spots are created due to congestion in the network and mobile elements are being used to resolve the problem. the experimental results demonstrate that the proposed algorithm can effectively restore the network operation. We believe that our proposed approach can be used to solve similar types of problems.

关键词： Internet of things Wireless sensor Networks Energy Efficiency Mobile Nodes Mobile Robots Drones

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Research on Fault Location Algorithm for Wind Farm Collecting Lines Based on distributed Traveling Waves 4

Research on Fault Location Algorithm for Wind Farm Collectin...

引用

4th international conference on Intelligent Power and systems, ICIPS 2024

作者： Li, Wei Liu, Wanchao Cui, Xinying Yang, Chaohui Sun, Jiajia Cao, Xiuhao Shandong Electric Power Engineering Consulting Institute Co. Ltd. Jinan250000 China Shandong University of Technology School of Electrical and Electronic Engineering Zibo255000 China

ISBN: (纸本)9798331532765

In the hybrid line fault of the wind farm collection line, the complex traveling wave reflection phenomenon increases the difficulty of fault location. In order to solve this problem, this paper proposes to install a distributed traveling wave detection device on the line according to the structural and characteristic differences between the cable and the overhead line. the line is partitioned and the Pearson correlation coefficient is used to determine the fault interval. through formula derivation, the influence of wave velocity on ranging accuracy is eliminated, and a fault location algorithm without wave velocity is derived by using the second component in SVD decomposition to calibrate the pulse modulus maximum of signal singularity. PSCAD simulation and MATLAB results show that compared with the traditional single-end and double-end ranging method, this method significantly improves the accuracy of fault location of wind farm collection line. © 2024 ieee.

关键词： MATLAB

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the Role of IOT in Creating SC'S through Ultra Fast Updation of the Status for Accurate Action Plan 4

The Role of IOT in Creating SC'S through Ultra Fast Updation...

引用

4th ieee international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Hariharasudhan, S. Subasree, S. Bhuvaneswari, M. Victor, Mekvin Kumar, Rintu Kumar, K. Sambath Prince Shri Venkateshwara Padmavathy Engineering College Department of Information Technology India Nehru Institute of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu T.M. Palayam India Karpagam Academy of Higher Education Department of Biomedical Engineering TN Coimbatore India Christ University School of Business and Management Bangalore India Ies University Department of Mech Engg Ies Institute of Technology and Management M.P. Bhopal462044 India Chennai Tamil Nadu Avadi India

ISBN: (纸本)9798350360165

the idea of a smart city includes the merging of technologies and advances aimed at improving urban efficiency, scientific progress, the preservation of the environment, and social inclusion. Coined in the year 2000, the term became widely used in politics, business, management, and urban planning groups to drive tech-based changes in urban areas. It reacts to the difficulties posed by postindustrial communities handling problems such as pollution to the environment, demographic changes, population growth, health care monetary crises, and resource shortages. Beyond technical answers, the smart city idea includes non-technical innovations for healthy urban life. Particularly encouraging is the application that uses Internet of the circumstances (IoT)based sensors in healthcare, applying machine learning for effective data management. this paper discusses the application of AI-powered Ai and Wireless sensor Networks, more commonly known as the field of health care, acting as a basic study to understand the impact of IoT in smart cities, especially in healthcare, for the sake of future research. © 2024 ieee.

关键词： AI-powered systems blockchain data management healthcare IoT machine learning smart cities smart technology urban efficiency wireless sensor networks

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A distributed Power System Communication Architecture Based on Message Queue and Multi Process 4

A Distributed Power System Communication Architecture Based ...

引用

4th international conference on Energy Engineering and Power systems, EEPS 2024

作者： Chen, Junhong Chen, Xiaojun Zhong, Zhaobin Xia, Ruicong Chen, Tao China Southern Power Grid Technology Co. Ltd. Guangdong Provincial Key Laboratory of New Technology for Smart Grid Guangdong Guangzhou510000 China

ISBN: (纸本)9798350366914

the traditional power system mainly collects grid data through front-end data communication architecture. With the increasing integration of new energy into the grid. the system's demand for data interaction and device access has increased. For example, energy storage requires higher frequency of data interaction and more monitoring device access requirements in terms of security. However, the current architecture cannot meet these requirements in terms of performance. It usually only ensures timed interaction of common electrical quantities in energy storage, and other data is often discarded. In order to meet the requirements of new energy data interaction and device access, A distributed communication architecture based on message queues and multi process has been proposed to support more devices and higher frequency (real-time, collecting data every few seconds) data interaction. © 2024 ieee.

关键词： distributed communication architecture message queue multi process

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2024 4th international conference on Emerging Frontiers in Electrical and Electronic Technologies, ICEFEET 2024

2024 4th International Conference on Emerging Frontiers in E...

引用

4th ieee international conference on Emerging Frontiers in Electrical and Electronic Technologies, ICEFEET 2024

ISBN: (纸本)9798331528614

the proceedings contain 92 papers. the topics discussed include: proactive electric vehicle braking system;optimal unit commitment and dispatch of electric vehicles in microgrid using walrus optimization algorithm;cell voltage equalization method for battery-powered applications;resolving uncertainty with decisions for electric vehicle aggregators;modeling of lithium-ion battery with thermal analysis;predictive thermal management systems for lithium ion batteries using linear regression for enhanced efficiency and longevity;real time environmental fault detection and diagnosis in photovoltaic systems;comparative analysis of control algorithms for DSTATCOM in grid-connected wind energy system;and SPR based refractive index sensor with multilayered gold and graphene: a bio-sensing approach using wave theory based delineation.

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Adaptive ResNet Architecture for distributed Inference in Resource-Constrained IoT systems 19

Adaptive ResNet Architecture for Distributed Inference in Re...

引用

19th ieee international Wireless Communications and Mobile computing (ieee IWCMC)

作者： Khan, Fazeela Mazhar Baccour, Emna Erbad, Aiman Hamdi, Mounir Hamad Bin Khalifa Univ Qatar Fdn Coll Sci & Engn Doha Qatar

ISBN: (纸本)9798350333398

As deep neural networks continue to expand and become more complex, most edge devices are unable to handle their extensive processing requirements. therefore, the concept of distributed inference is essential to distribute the neural network among a cluster of nodes. However, distribution may lead to additional energy consumption and dependency among devices that suffer from unstable transmission rates. Unstable transmission rates harm real-time performance of IoT devices causing low latency, high energy usage, and potential failures. Hence, for dynamic systems, it is necessary to have a resilient DNN with an adaptive architecture that can downsize as per the available resources. this paper presents an empirical study that identifies the connections in ResNet that can be dropped without significantly impacting the model's performance to enable distribution in case of resource shortage. Based on the results, a multi-objective optimization problem is formulated to minimize latency and maximize accuracy as per available resources. Our experiments demonstrate that an adaptive ResNet architecture can reduce shared data, energy consumption, and latency throughout the distribution while maintaining high accuracy.

关键词： optimization distributed inference neural networks resilience ResNet

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Design of an Industrial Wireless sensor Network Security Defense Scheme Based on the Uniqueness of Clock Slope 4

Design of an Industrial Wireless Sensor Network Security Def...

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4th ieee international conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Shao, Shuai Dong, Lei Wang, Zhongfeng Cui, Shijie Chinese Academy of Sciences Key Laboratory of Networked Control Systems Shenyang China Chinese Academy of Sciences Shenyang Institute of Automation Shenyang China Southeast University Key Laboratory of Mems of the Ministry of Education School of Electronic & Engineering Nanjing China

ISBN: (纸本)9798350363586

this paper proposes a security defense scheme for industrial wireless sensor networks that utilizes the uniqueness and stability of clock slope characteristics to address the security defense challenges faced by industrial wireless sensor networks (IWSNs) under the constraints of low power consumption and low cost. By combining key elements of time synchronization technology, this scheme fully leverages the physical characteristics of the clock slope without the need to introduce additional protocols or algorithm designs, ensuring compatibility with existing time synchronization technology and providing an effective method for node identity recognition in large-scale IWSN environments. © 2024 ieee.

关键词： Mechanical clocks

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