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8th International conference on Image, Vision and Computing, ICIVC 2023

作者： Yuan, De-Ping The 20th Research Institute of China Electronics Technology Group Corporation Xi'an China

ISBN: (纸本)9798350335231

Aiming at the contradiction between the globalism and the convergence speed of the UAVS task assignment method, a hybrid swarm intelligence algorithm is proposed, which combines the wolf colony algorithm and simulated annealing algorithm. Firstly, based on the analysis of UAV cluster operation application and task allocation modeling, the basic wolf colony algorithm is improved, the fixed step size of walking, summoning and rounding up behavior in the wolf colony algorithm is changed to the adaptive step size to improve the convergence speed and search accuracy;Secondly, the initial results of the improved wolf colony algorithm are taken as the input of the simulated annealing algorithm, and a fast search is carried out to further improve the convergence speed of the algorithm;Finally, in the same application scenario, through simulation and comparison with particle swarm optimization algorithm and basic wolf swarm optimization algorithm, it is verified that the proposed algorithm has great improvement in distribution accuracy and convergence speed. © 2023 IEEE.

关键词： Simulated annealing

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Research and Application of Substation Secondary Circuit Simulation system Based on Dynamic Drawings 20

Research and Application of Substation Secondary Circuit Sim...

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20th International Computer conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2023

作者： Qingquan, Wu Linhui, You Zhuo, Chen China Southern Power Grid Talent Development Center Guangzhou510000 China

ISBN: (纸本)9798350318982

this paper introduces a simulation system for substation secondary circuits based on dynamic drawings. the system utilizes automatic modeling techniques to transform CAD-formatted substation secondary circuit drawings into dynamic simulation drawings. this enables the operation of the secondary circuit within a three-dimensional simulation scenario and provides realtime updates on component state changes. Based on the secondary circuit component model and topology model, the system proposes a simple and practical algorithm that can efficiently and accurately calculate the electrical quantities of each node in the substation's secondary circuit. this algorithm provides crucial data support for secondary circuit simulation measurements and component action logic. the system has been successfully implemented and proven effective in China Southern Power Grid Co., Ltd., achieving good results. © 2023 IEEE.

关键词： Circuit simulation

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An Improvement Control Strategy of Stand-Alone PV, Wind, and Battery system 20

An Improvement Control Strategy of Stand-Alone PV, Wind, and...

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20th International Multi-conference on systems, Signals and Devices, SSD 2023

作者： Hmad, Jihed Jarraya, Imen Abid, Rabeb Trabelsi, Hafedh Houari, Azeddine Rizoug, Nassim University of Sfax National School of Engineering of Sfax CES Laboratory Tunisia University of Sfax National School of Engineering of Sfax CEM Laboratory Tunisia University of Nantes IREENA Laboratory Saint-Nazaire44602 France Montigny-le-Bretonneux France

ISBN: (纸本)9798350332568

the combination of wind and solar sources to produce electricity in rural zones could be one of the best solutions. this hybrid system can be tapped as an alternative because of failure of the national power sector to supply the growing demand. In addition, Wind-PV system with battery banks is used to satisfy the transient period or peak load ***, the fluctuation due to PV array, wind speed and the variable load causes the power imbalance between energy sources, battery utility units and AC loads. In order to ensure the stability of a hybrid system and minimize the effects of these variations on electricity, different control strategies must be applied. In this research we consider tow renewable sources wind-solar, battery, inverter, filter and load of a remote site are coupled through a DC architecture was achieved using Matlab Simulink. this paper mainly focused on the modeling and controlling of a stand-alone PV-wind system with energy storage. © 2023 IEEE.

关键词： Wind

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Coordinated optimization for Zone-Based Voltage Control in Distribution Grids

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IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS 2022年第1期58卷 173-184页

作者： Di Fazio, Anna Rita Risi, Chiara Russo, Mario De Santis, Michele Univ Cassino Dept Elect & Informat Engn I-03043 Cassino Italy Southern Lazio I-03043 Cassino Italy Niccolo Cusano Univ Dept Engn I-00166 Rome Italy

this article addresses the problem of optimizing voltage profiles in distribution networks. the voltage optimization is split into two stages;the former is performed offline and the latter online. First, the network is partitioned into several weakly coupled voltage control zones (VCZs) with pilot nodes (PNs). then, the partitioning is used to optimize the voltage profiles of the distribution systems on the frame of a two time-scale-based coordinated approach. At the first level, a centralized voltage optimization problem (VOP), minimizing the distance of bus voltages at the PNs from their reference values and subject to linearized power flow equations, is solved to fix the positions of the on-load tap changer and of step-voltage regulators, and the reactive powers provided by capacitor banks. At the second level, the VOP is implemented according to a decentralized approach, in which the solution is obtained by applying a distributed algorithm based on the alternating direction method of multipliers. It optimizes in each VCZ the voltage at the PN by acting on the active and reactive powers provided by the distributed energy resources present in the VCZ;the VCZ solutions are driven to the global optimum of the whole distribution system by a limited data exchange between the PNs. the proposed approach reduces the complexity and computational burden typical when solving the VOP on a large scale system. the proposed strategy is tested on the modified IEEE 123-bus system;various load and generation scenarios are analyzed proving the effectiveness of the proposed approach in achieving the objective of voltage regulation.

关键词： Voltage control Reactive power optimization Voltage measurement Real-time systems Distribution networks Sensitivity Alternating direction method of multipliers (ADMM) decentralized approach distribution system distributed energy resources (DERs) voltage optimization

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Experimental Model Identification of a Pure Electric Vehicle Using Standard Dynamometer Testing 19

Experimental Model Identification of a Pure Electric Vehicle...

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20th IEEE Vehicle Power and Propulsion conference (IEEE VPPC)

作者： Sharkawy, Ahmed E. Ali, Ahmed M. Asfoor, Mostafa Sh. Yacoub, Mostafa I. Mil Tech Coll Automot Engn Dept Cairo 11766 Egypt

ISBN: (纸本)9798350344455

the prevalence of electrified vehicles for clean and efficient transportation systems has grasped an increasing attention of many researchers and academics in the last few years. In this context, accurate, yet attainable, modeling of electric drivelines plays a significant role to ensure optimal sizing, power management, and online control of such propulsion systems. this paper proposes a systematic approach for online modeling parameters identification of electric drivelines during standard test-drives on chassis dynamometers. the proposed approach depicts real test measurements into a self-adaptive algorithm, that tunes arbitrary modeling parameters using minimal leastsquare scheme to converge to reference outputs congregatedly. the achieved results reveal the ability of the proposed approach to yield accurate modeling parameters of the electric motor and battery and enable an extended post-test analysis of the investigated drivelines.

关键词： Model identification electrified propulsion system driving cycle dynamometer testing

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Prediction of Failure in Scania Truck Due to Air Pressure system Failure 20th

Prediction of Failure in Scania Truck Due to Air Pressure Sy...

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20th International conference on Distributed Computing and Intelligent Technology (ICDCIT)

作者： Singh, Prasoon Behera, Lalatendu NIT Jalandhar Dept CSE Jalandhar India

ISBN: (纸本)9783031505829;9783031505836

this paper addresses the prediction of failures in the air pressure system of Scania trucks to minimize associated operating costs. A custom ensemble model is proposed combining random forest, XGBoost, and multi-layer perceptron algorithms. By optimizing the classification threshold, false positives and false negatives are reduced, effectively minimizing costs. In comparison to previous studies, the model's performance is evaluated using metrics like accuracy, AUC, precision, recall, etc., and it demonstrates superior performance across all these measures. this research significantly contributes to predictive maintenance in the automotive industry by offering valuable insights for effective failure management, cost reduction, and enhanced operational efficiency.

关键词： Scania trucks ensemble model classification threshold cost optimization predictive maintenance

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Research on DoS Attack Traffic Detection for Industrial Control system 20

Research on DoS Attack Traffic Detection for Industrial Cont...

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20th International Computer conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2023

作者： Chen, Hong Liu, Sisi Yuan, Xiaoshu Huang, Yuanyuan Feng, Li Energy Equipment Cyber Security Key Laboratory of Sichuan Province Chengdu610016 China Chengdu University of Information Technology China

ISBN: (纸本)9798350318982

the rapid development of the Internet has brought convenience to the industrial control system, but also brought serious security problems of network attacks. DoS attack is the most common network traffic attack. the traditional abnormal traffic detection method has the problems of long model training time and high false alarm rate. Aiming at these problems, this paper proposes an optimization algorithm based on decision tree CART, as well as feature coding and feature classification of data. the experimental results show that the decision tree model has better performance than other machine learning models, and achieves a higher accuracy of 98.2 %. © 2023 IEEE.

关键词： Denial-of-service attack

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Estimation of Cutting Time in Polygonal Turning through modeling of Tool Workpiece Interactions in Workpiece Coordinate system 20

Estimation of Cutting Time in Polygonal Turning through Mode...

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20th CIRP conference on modeling of Machining Operations in Mons, CIRP CMMO 2025

作者： Pandya, Madhur Narayan, Dhruv Bhatnagar, Naresh Department of Mechanical Engineering Indian Institute of Technology Delhi New Delhi110016 India

this paper presents detailed investigations into the estimation of cutting time (CT), the percentage of cutting time to total time (%CT/TT), and the reduction in the workpiece cross-section area during the polygonal turning process using complex number representation of the tool tip in an absolute workpiece coordinate system the motive of this study is to bridge the gap between the algorithms for integer and fractional speed ratios reported in the literature and develop a single robust model with structured verification and validation. the model was verified by determining the exact number of sides and the profile geometry produced on the workpiece and comparing the model results with the existing literature. Cutting time was validated experimentally, using a high-speed camera in two scenarios: machining a tri-lobed geometry and a square geometry. the model successfully estimated geometric profiles, and for the specified machining parameters, the estimated number of sides aligned with the reported literature. the model underestimated the experimental value of cutting by 12.35% for a trilobed geometry and overestimated the experimental value by 5.66% for a square geometry. © 2025 the Author(s).

关键词： High speed cameras

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On identifying the non-linear dynamics of a hovercraft using an end-to-end deep learning approach 20

On identifying the non-linear dynamics of a hovercraft using...

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20th IFAC Symposium on system Identification (SYSID)

作者： Schwan, R. Schmid, N. Chassaing, E. Samaha, K. Jones, C. N. Ecole Polytech Fed Lausanne Automat Control Lab Lausanne Switzerland Ecole Polytech Fed Lausanne Risk Analyt & Optimizat Chair Lausanne Switzerland

We present the identification of the non-linear dynamics of a novel hovercraft design, employing end-to-end deep learning techniques. Our experimental setup consists of a hovercraft propelled by racing drone propellers mounted on a lightweight foam base, allowing it to float and be controlled freely on an air hockey table. We learn parametrized physics-inspired non-linear models directly from data trajectories, leveraging gradient-based optimization techniques prevalent in machine learning research. the chosen model structure allows us to control the position of the hovercraft precisely on the air hockey table. We then analyze the prediction performance and demonstrate the closed-loop control performance on the real system. Copyright (C) 2024 the Authors. this is an open access article under the CC BY-NC-ND license (https://***/licenses/by-nc-nd/4.0)

关键词： Nonlinear system identification Learning for control Hovercraft Parametric modeling Air hockey Physics-inspired modeling

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Multi-objective optimization for the Design of Salary Structures 20th

Multi-objective Optimization for the Design of Salary Struct...

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20th International conference on the Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR)

作者： Tremblay, Francois-Alexandre Piche-Meunier, Dominique Dubois, Louis Univ Laval Dept Comp Sci & Software Engn Quebec City PQ Canada

ISBN: (纸本)9783031332708;9783031332715

In a context of labor shortage and strong global competition for talent, salary management is becoming a critical issue for companies wishing to attract, engage and retain qualified employees. this paper presents a multi-objective optimization model to balance the internal equity, external equity and costs trade-offs associated with the design of salary structures. Solutions are generated to estimate and explore the Pareto frontier using real compensation data from a unionized establishment in the public sector. Our work shows the interest of using combinatorial optimization techniques in the design of salary structures.

关键词： Multi-objective optimization constraint programming salary structure decision support system

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