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Edge Computing Empowered Digital Twin: An End-to-End Computing Task Scheduling Approach 20

Edge Computing Empowered Digital Twin: An End-to-End Computi...

引用

IEEE 20th International conference on automation Science and engineering (CASE)

作者： Zhong, Ruirui Feng, Yixiong Song, Xiuju Hu, Bingtao Wang, Yong Li, Puyan Tan, Jianrong Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Peoples R China Guizhou Univ State Key Lab Publ Big Data Guiyang 550025 Peoples R China Hangzhou Dianzi Univ Key Lab Discrete Ind Internet Things Zhejiang Pro Hangzhou 310018 Peoples R China

ISBN: (纸本)9798350358513;9798350358520

The emerging of Digital Twin (DT) technology facilitates the further development of industrial automation. However, real-time and accurate DTs modeling and updating require massive communication and computing resources, which poses a challenge to limited resources. Edge computing as a distributed computing architecture offers the possibility of high-efficient resource scheduling in DTs. Motivated by this gap, this paper aim to solve the problem of real-time and high fidelity DTs modeling and updating. First, we represent the computing tasks of DTs in the form of Heterogeneous Computing Task Graph (HCTG). Then, a Hierarchical Attention Mechanism (HAT) is proposed to obtain the latent representation vectors of the HCTG. Finally, we design Markov Decision Process (MDP), and propose Deep Reinforcement Learning (DRL)-based computing task scheduling approach (HAT-DRL) to satisfy the minimum total completion time requirement of different DTs. Experimental results demonstrate that the proposed algorithm has promising scheduling performance and outperforms other task scheduling algorithms.

关键词： Scheduling algorithms

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Research on Vehicle-to-Grid Interaction Optimization of New Distribution System Based on Intelligent Algorithm 7

Research on Vehicle-to-Grid Interaction Optimization of New ...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Dai Hao Shang Longlong Liu Guowei Ouyang Guang Deng Hao Zhang Wei Xin Lisheng Shenzhen Power Supply Bur Co Ltd Shenzhen 518000 Guangdong Peoples R China Tiandi Dianyan Beijing Technol Co Ltd Beijing 102206 Peoples R China

ISBN: (数字)9798350377033

ISBN: (纸本)9798350377040;9798350377033

This paper proposes a new distribution system vehicle-to-grid (V2G) optimization research method based on Grey Wolf Optimizer (GWO), aiming to improve the energy management efficiency in smart grids. Combining the powerful global search capability of GWO algorithm, this paper designs an improved distribution system optimization model, which can effectively dispatch the charging and discharging behavior of electric vehicles, thereby balancing the grid load and improving energy utilization efficiency. An optimization model containing multiple operating constraints is established and solved by GWO algorithm. Simulation results show that after GWO optimization, the system can significantly reduce the peak and valley load differences, achieve more balanced power distribution, and reduce the operating cost of the distribution system. Specific data analysis shows that compared with traditional optimization methods, the optimization model using GWO algorithm shows great improvements in system response speed, optimization accuracy and energy management effect. This study provides a new technical path for V2G interaction in future smart grids, which will help promote the efficient use of green energy and the further development of smart grids.

关键词： Grey wolf Optimization (GWO) power distribution system vehicle-to-grid interaction (V2G) energy management smart grid

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Research on Large Angle Climbing Intelligent Inspection Rail Robot Applied in Hydropower Station Corridors 7

Research on Large Angle Climbing Intelligent Inspection Rail...

引用

7th International conference on automation Electronics and Electrical engineering

作者： Liu, Tong Song, Mingfu Tao, Yong Hou, Xiaoqiang Hu, Chuansheng Xu, Yong Yang, Jin Yang, Hu Yalong River Hydropower Dev Co Ltd Chengdu 610051 Peoples R China Yuwei Chuanghai Intelligent Equipment Suzhou Co L Suzhou 215334 Peoples R China State Grid Guangyuan Power Supply Co Guangyuan 628033 Peoples R China

ISBN: (纸本)9798350377040;9798350377033

This paper proposes a new type of corridor climbing inspection robot, aimed at solving the problems of insufficient power and poor stability of existing robots in complex terrain and steep slope environments. The robot adopts a design that combines ground rails with linear transmission bodies, optimizes the automatic walking drive device and multi axis displacement robotic arm, and achieves stable inspection with a maximum climbing angle of over 60 degrees. The robot is equipped with a high-resolution image acquisition device and a supplementary light source, combined with image processing and machine learning algorithms, to automatically identify and classify defects and anomalies during inspection. The experimental results show that the robot does not derail or deviate when climbing a 60 degrees slope, with a minimum turning radius of 1.5 meters, image resolution of 1080p, battery life of 8 hours, stable data transmission, automatic recognition accuracy of over 95%, and maintains stable performance after continuous operation for 1000 hours.

关键词： hydroelectric power plants corridors climbing inspection robots

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Multi-stage Robust Implicit Decision Rule for Optimal Control Problem of Energy Storage System 20

Multi-stage Robust Implicit Decision Rule for Optimal Contro...

引用

IEEE 20th International conference on automation Science and engineering (CASE)

作者： Zhao, Jiexing Zhai, Qiaozhu Zhou, Yuzhou Cao, Xiaoyu Hu, Jianchen Xue, Fei Li, Xutao Xi An Jiao Tong Univ Sch Automat Sci & Engn Xian 710049 Peoples R China Xi An Jiao Tong Univ MOEKLINNS Lab Xian 710049 Peoples R China Ningxia Elect Power Res Inst Yinchuan 750000 Ningxia Peoples R China

ISBN: (纸本)9798350358513;9798350358520

The optimal control problem including random variables is difficult to solve. Existing methods typically rely on defining explicit decision functions to make the problem tractable. However, in practical numerical testing, we observed that some strongly coupled constraints, such as energy storage level limits, will impose strict restrictions on these simplified decision functions, potentially leading to significantly suboptimal solutions. Motivated by these challenges, this paper proposes a multi-stage robust implicit decision rule for the scheduling problem of energy storage systems. The main idea is to find an explicitly feasible decision function space to guarantee the multi-stage operating feasibility. When random variables are observed, decisions are adaptively optimized within the feasible decision space by solving a straightforward mathematical programming. Explicit decision functions are not required, ultimately enhancing the feasibility and optimality of the stochastic optimization for energy storage systems. Numerical tests are implemented on a real-world microgrid, verifying the effectiveness of the proposed method.

关键词： Stochastic systems

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Study of PV Systems Integration on the Lebanese Grid

Study of PV Systems Integration on the Lebanese Grid

引用

2025 International conference on Control, automation, and Instrumentation, IC2AI 2025

作者： Nehme, Bechara Rached, Jad Abi Akiki, Tilda Electrical Telecommunication and Computer Engineering Department Jounieh Lebanon

ISBN: (纸本)9798331529604

This project will be focused on the effect of private level solar systems on the EDL grid, specifically on the distribution part of the entire EDL network. In order to show the said effects of the integration of solar panels into the EDL network, we created models using 'power world simulator' to visually represent the changes and modifications happening in the network, in addition to the motion of power through the lines. © 2025 IEEE.

关键词： DC distribution systems

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Based on the Harmonic Linearization Railway power Regulator Impedance Modeling 4

Based on the Harmonic Linearization Railway Power Regulator ...

引用

4th International conference on Energy engineering and power Systems, EEPS 2024

作者： Song, Chenyu Wang, Ying Ge, Leijiao Ma, Xiping School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou China School of Automation and Electrical Engineering Tianjin University Tianjin China State Grid Gansu Electric Power Company Electric Power Science Research Institute Lanzhou China

ISBN: (纸本)9798350366914

Considering the mutual coupling of harmonic in the railway static power conditioner and the impact of different control links on it, a method for establishing the small-signal impedance model of the AC side of the railway static power conditioner based on the principle of multi-harmonic linearization is proposed. Firstly, the steady-state average model of the railway static power conditioner is established, and the harmonic components of the internal steady-state electrical variables are computed. Secondly, utilizing the multi-harmonic linearization principle, we derive a small-signal impedance model for the AC side of the RPC based on its control system structure. Finally, a simulation model of the railway static power conditioner was established based on Matlab/Simulink, and the accuracy of the impedance model derived was verified using a sweep method. © 2024 IEEE.

关键词： control system harmonic linearization impedence model railway static power conditioner

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System Structure for Railway Switch Points and Signals Electrical Interlocking powered by Renewable Energy Sources and Emergency Cable Network

System Structure for Railway Switch Points and Signals Elect...

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2024 International conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2024

作者： Efanov, Dmitrii V. Ruziev, Davron Kh. Khóroshev, Valerii V. Transport Higher School Of Mechanical Engineering Material And Transport Institute In Peter The Great St. Petersburg Polytechnic University St. Petersburg Russia Tashkent State Transport University 'Automation And Remote Control' Department Tashkent Uzbekistan Russian University Of Transport 'Automation Remote Control And Communication On Railway Transport' Department Moscow Russia 'Automation Remote Control And Communication On Railway Transport' Department Moscow Russia

ISBN: (纸本)9798350395013

Article propose a hybrid technology of power supply in the electrical interlocking systems development for railway stations. The main feed input is proposed to be carried out from renewable energy sources. Such sources are near the railway track. Redundant power supply should be provided using traditional cable networks with local placement. The article presents the structures of electrical interlocking systems based on hybrid technology. In addition, when supplying power to railway automation and remote control, the power supply must be guaranteed. That is why, at this stage of the transition, it is necessary to maintain redundant cable glands. In the future, a complete transition to energy supply from renewable energy sources is proposed. The authors considered the use of energy sources with solar panels. The following solutions are proposed for organizing the power supply of railway automation and remote-control devices: providing power supply in the yard neck with local power sources - solar panels, linking between wayside device and the signal box using fiber optic cables and radio channels. The main attention is paid to the environmentally friendly energy sources, the wire routing shorts and maintenance. © 2024 IEEE.

关键词： Energy efficiency

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A Techno-Economic Modelling and Component Sizing in Renewable Energy Communities: The Perspective of Technical Facilitators 20

A Techno-Economic Modelling and Component Sizing in Renewabl...

引用

IEEE 20th International conference on automation Science and engineering (CASE)

作者： Kachhad, Vishal Joshi, Amit Mariani, Valerio Raffa, Vincenzo Glielmo, Luigi Univ Sannio Dept Engn Benevento Italy Italian Natl Agcy New Technol Energy & Sustainable Econ Dev ENEA Piazzale Enrico Fermi 1 I-80055 Portici NA Italy Friendly Power Srl San Martino Sannita BN Italy Univ Naples Federico II Dept Elect Engn & Informat Technol Naples Italy

ISBN: (纸本)9798350358513;9798350358520

This article presents a mathematical model to find the optimal size of solar Photovoltaics (PVs) and Battery Energy Storage Systems (BESSs) within the distinctive framework of a Renewable Energy Community (REC) with energy exchanges among PV+BESS system and participants. Our optimization considers dynamic factors, such as electricity pricing and financial aspects including capital investment and operational costs of PV-BESS systems. The replacement costs and efficiencies associated with charging and discharging BESS units are also considered. Mixed Integer Non-Linear Programming (MINLP) is employed to maximize the Net Profit (NP) of the REC. Additionally, we introduce an individual marginal contribution method to allocate incentives among REC participants equitably. This article provides practical insights for Technical Facilitators (TFs) to guide them in selecting the most suitable system size for their energy requirements in the REC. To show real-world applicability, we present the case study of a REC in Roseto Valfortore, a small town in the Province of Foggia, Italy.

关键词： Optimal sizing Solar Photovoltaics Battery Energy Storage Systems Renewable Energy Community

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Human-robot interactive disassembly planning under uncertain quality of EOL products 20

Human-robot interactive disassembly planning under uncertain...

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IEEE 20th International conference on automation Science and engineering (CASE)

作者： Gao, Yicong Xu, Chen Ye, Xiaolei Lou, Shanhe Tan, Jianrong Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou 310000 Peoples R China Nanyang Technol Univ Sch Mech & Aerosp Engn Singapore 637460 Singapore

ISBN: (纸本)9798350358513;9798350358520

The dynamic work environments and workloads lead to uncertainty in disassembly planning of EOL products. Industry 5.0 centers on humans and is driving a new industrial revolution by focusing on smart manufacturing, which enhances the adaptation of the disassembly process to uncertainty through the flexible scheduling of humans and robots in the HumanCyber-Physical Systems (HCPS). In this study, we present a human-robot interactive disassembly framework for HCPS tailored to recognize and manage uncertain conditions within EOL products. A part damage degree recognition model is trained by combining migration learning and the VGG16 model to achieve online recognition of the uncertain situation of the disassembled object. Fuzzy evaluation indexes of faulty part disassemblability are constructed, and an optimization model for human-robot collaborative disassembly, considering the uncertainty of products, is developed by taking into account the complexity of the disassembly task and the operator's degree of human fatigue. An improved genetic optimization algorithm is applied to obtain an optimal disassembly sequence with humanrobot task allocation. A case study illustrates the feasibility of the proposed method.

关键词： Smart manufacturing

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Adaptive Intelligent Local Feeder automation Strategy Based on Hierarchical Protection 7

Adaptive Intelligent Local Feeder Automation Strategy Based ...

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7th Asia conference on Energy and Electrical engineering (ACEEE)

作者： Zhang, Linli Li, Jianxiu Li, Lisheng Sun, Yong State Grid Shandong Elect Power Res Inst Ctr Distribut Network Technol Jinan Peoples R China State Grid Shandong Power Supply Co Dept Equipment Management Jinan Peoples R China

ISBN: (纸本)9798350350258;9798350350241

Aiming at the problems that the traditional feeder automation (FA) needs to reclose multiple times when dealing with permanent faults, the processing speed is slow and it cannot deal with ground faults, an adaptive intelligent local feeder automation strategy is proposed. In this strategy, the sectionalizing switches and tie switches are all replaced with primary and secondary integrated circuit breakers, the function of disconnecting the segment switch when no voltage is detected is cancelled, the X time limit and Y time limit are optimized, and acceleration protection is started when detecting voltage and fault. When voltage is detected and disappears again within a short period of time, the switch is opened and reversely locked. Compared with the original strategy, the proposed method only needs one reclosing operation to complete the fault processing, which significantly decrease the fault processing time and has the ability to deal with both short circuit faults and ground faults. Then the action logic of the adaptive intelligent local feeder automation for short circuit fault and ground fault is given, and the feasibility of the strategy is verified. Finally, the adaptive intelligent local feeder automation strategy proposed in this paper is applied to an actual distribution network, and the practical application effect of the method is analyzed.

关键词： feeder automation adaptive intelligent feeder automation primary and secondary integration circuit breaker reclosing

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