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检索条件"任意字段=21st Conference on System Modeling and Optimization"

共 3611 条记录，以下是1-10 订阅

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optimization Configuration Method for Voltage Sag Monitors Considering Photovoltaic Integration 21

Optimization Configuration Method for Voltage Sag Monitors C...

引用

21st International conference on Harmonics and Quality of Power

作者： Liang, Xiaorui Liu, Huicong Zhang, Huaying China Southern Power Grid Corp Shenzhen Power Supply Bur Elect Power Res Inst Shenzhen Peoples R China

ISBN: (纸本)9798350382570;9798350382563

The integration of photovoltaic (PV) power sources has brought new problems to voltage sag in new power systems. Optimizing the configuration of voltage sag monitoring devices is an effective means to reduce monitoring costs. This article uses high-order Markov chains and Gaussian mixture models to probabilistic model PV power sources, improving the accuracy of PV probabilistic modeling. The calculation method for correcting residual voltage amplitude considering the low voltage ride through (LVRT) characteristics of PV is proposed. The optimization configuration method is based on the constraint that all system faults can be recorded by the monitoring device, and the optimization objective is to minimize the configuration cost of the monitoring devices. The obtained configuration scheme not only meets the economic requirements but also ensures that all voltage sags caused by faults in the system can trigger at least one monitoring device to record in power systems with PV access. The effectiveness of the proposed method was verified through simulation analysis using an IEEE30 node testing system.

关键词： monitoring device optimal configuration PV voltage sag

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modeling, optimization, and Musculoskeletal Simulation of Elbow-Wrist Exosuit 21

Modeling, Optimization, and Musculoskeletal Simulation of El...

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21st International conference on Advanced Robotics (ICAR)

作者： Bonab, Ali KhalilianMotamed Leonardis, Daniele Frisoli, Antonio Chiaradia, Domenico Scuola Super Sant Anna Inst Mech Intelligence Pisa Italy Scuola Super Sant Anna Dept Excellence Robot & AI Pisa Italy

ISBN: (纸本)9798350342291

Exosuits present intriguing structural advantages compared to exoskeletons;nevertheless, accurately modeling and simulating their effectiveness when integrated with the musculoskeletal system of the user poses formidable challenges. As regards the upper limb, there are limited approaches and models in the literature that consider both the complexities of the musculoskeletal system and the optimization of the exosuit interface. In this work, we propose an extensive approach that considers both a mathematical model of a wrist-elbow exosuit, and simulations of a complex upper limb musculoskeletal system. The kinematic and dynamic model of the exosuit allows for the optimization of the anchor points, while the simulation provides information on muscular loading with and without assistance. In the presented results we have developed and validated personalized musculoskeletal models with kinematic, anthropometric, and electromyographic data we measured in a load-lifting task. The results of the simulations show the effectiveness of the optimized exosuit and reveal the impact of the exosuit at the level of the whole upper limb, and not limited to the actuated districts only.

关键词： Musculoskeletal system

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A Guided modeling Approach for Secure system Design 21

A Guided Modeling Approach for Secure System Design

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21st International conference on Software Architecture (ICSA)

作者： Sabau, Alex R. Rhein Westfal TH Aachen Res Grp Software Construct Ahornstr 55 Aachen Germany

ISBN: (纸本)9798350366266;9798350366259

Designing security architectures (SA) that are maintained independently from the overall architecture is a well-researched and established approach for modeling the security perspective of software systems. However, this approach involves several drawbacks in the documentation of SAs. These include an increase in redundancies in the design documents, synchronization errors due to concurrent modification of separate models, and expert knowledge required to design SAs, which is a crucial constraint due to the lack of experts in the security domain. To overcome these drawbacks, this paper presents the foundations, vision, research plan, and preliminary results of a novel architecture modeling approach that aims to eliminate the necessity of designing separate SAs and support architects in modeling secure software systems. The approach establishes a guided process for tracing security requirements to the modeling elements in the architecture description. Additionally, it utilizes security properties to make design recommendations in the modeling process and separate the security-related parts of an architecture description from its other parts.

关键词： security architecture security modeling secure system design security-by-design architecture modeling

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Surrogate Model-Based Synthesis of NFC-Transponders 21

Surrogate Model-Based Synthesis of NFC-Transponders

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IEEE 21st Biennial conference on Electromagnetic Field Computation (IEEE CEFC)

作者： Koger, Christoph Museljic, Eniz Bauernfeind, Thomas Reinbacher-Koestinger, Alice Graz Univ Technol Inst Fundamentals & Theory Elect Engn Graz Austria Silicon Austria Labs TU Graz SAL GEMC Lab Graz Austria

ISBN: (纸本)9798350348958;9798350348965

Independent of the respective NFC (near field communication) application the specific NFC device has to be tested for standard compliance. In the present work we propose a hybrid surrogate-model based synthesis strategy which enables the incorporation of standard compliance tests in the synthesis process. While the surrogate model is used in early optimization phases applying a stochastic optimization strategy, the highfidelity model is applied in the final deterministic optimization part. The high fidelity model is based on a thin wire partial element equivalent circuit method.

关键词： Surrogate modeling stochastic optimization Deterministic optimization NFC transponder

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A Novel optimization Model for Harmonic Mitigation Based on Residual Capacity of Photovoltaic Inverters 21

A Novel Optimization Model for Harmonic Mitigation Based on ...

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21st International conference on Harmonics and Quality of Power

作者： Wei, Yongxin Ma, Xing Chen, Yongtao Chen, Yinsheng Wang, Ying State Grid Chongqing Elect Power Res Inst Chongqing Peoples R China Sichuan Univ Coll Elect Engn Chengdu Peoples R China

ISBN: (纸本)9798350382570;9798350382563

In the distribution network, the existence of harmonic sources will lead to the warping of current and voltage waveform, affecting the stability of power system and the correct functioning of equipment. In this paper, a novel optimization model for harmonic mitigation is proposed, which utilizes residual capacity of photovoltaic inverters after active grid connection to generate harmonic compensation currents. The model is solved by particle swarm optimization algorithm. The simulation results prove that optimization model proposed in this paper shows great robustness and effectiveness, which is able to achieve harmonic mitigation at all nodes when facing different harmonic exceedances and can reduce the average value of total harmonic distortion of voltage by up to 11.59%. This also provides theoretical support for practical engineering applications.

关键词： Distribution network photovoltaic harmonic sources optimization model

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Optimal Scheduling and Sizing of Battery Energy storage system in an Industrial Microgrid 21

Optimal Scheduling and Sizing of Battery Energy Storage Syst...

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21st International conference on Harmonics and Quality of Power

作者： Wongyai, Jirawat Tayjasanant, Thavatchai Masuta, Taisuke Chulalongkorn Univ Dept Elect Engn Bangkok Thailand Meijo Univ Dept Elect & Elect Engn Nagoya Japan

ISBN: (纸本)9798350382570;9798350382563

This research aims to optimize an operation and economic efficiency of an industrial microgrid by focusing on two primary objectives: identifying the most cost-effective electricity, operating, and maintenance schedules, and determining the optimal battery size for industrial microgrid implementation. These objectives are set against the backdrop of challenges such as over-integration of renewable energy (RE) sources, which can lead to inefficiencies and reliability issues, and the need to enhance battery energy storage system (BESS) performance to ensure stability and responsiveness to demand fluctuations. Through rigorous analysis and optimization techniques, this study successfully addresses these problems by developing strategies that significantly reduce energy expenses for industrial facilities. The optimization outcomes demonstrate how strategic scheduling and sizing of a microgrid, and BESS can lead to more efficient use of renewables, minimizing reliance on the grid during peak demand periods. Consequently, the research contributes valuable insights into achieving economic and operational efficiency in industrial microgrid systems, promoting a sustainable and resilient energy infrastructure.

关键词： Industrial Microgrid Microgrid Planning Problems Battery Energy storage system Particle Swarm optimization

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Multi-objective Volt-Var optimization Considering Operation Cost of OLTC in Distribution Networks 21

Multi-objective Volt-Var Optimization Considering Operation ...

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21st International conference on Harmonics and Quality of Power

作者： Xie, Yi Ding, Zhenhuan Ding, Lei Zhang, Qianqian Anhui Univ Sch Artificial Intelligence Hefei Peoples R China State Grid Zhenjiang Power Util Co Ctr Supply Serv Zhenjiang Jiangsu Peoples R China

ISBN: (纸本)9798350382570;9798350382563

Frequent voltage fluctuations caused by the increasing penetration of renewable resources pose many challenges to distribution systems, which burdens the operation and maintenance cost of the regulated devices. The conventional methods of Volt-Var optimization (VVO) regard the real power losses and voltage variation as the objectives. However, the ignorance of the operation cost of transformers degrades the efficiency and the economic performance of the distribution networks. This work engages the operation cost with the objectives. To overcome the nonconvexity caused by the nature of power flow calculation, a genetic algorithm (GA) is employed to address the multiple-objectives problem. The proposed approach is validated in a modified 33-bus network. The results illustrate the proposed method can achieve losses reduction, voltage regulation and economic operation of the distribution networks.

关键词： GA Multi-objective optimization Distribution system Volt-Var optimization

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21st IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2024

21st IEEE Conference on Computational Intelligence in Bioinf...

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21st IEEE conference on Computational Intelligence in Bioinformatics and Computational Biology, CIBCB 2024

ISBN: (纸本)9798350356632

The proceedings contain 38 papers. The topics discussed include: a multiobjective evolutionary algorithm for colon cancer biomarkers identification on gene expression data;machine learning identifies novel microRNA biomarkers predictive for gastric cancer;methods for analyzing swallowing sound in dysphagia care: a telemedicine approach;a fast feature selection for interpretable modeling based on fuzzy inference systems;improving machine learning based sepsis diagnosis using heart rate variability;machine learning and gut microbiome for breast cancer screening;comprehensive modeling and question answering of cancer clinical practice guidelines using LLMs;and predicting metabolic reactions with a molecular transformer for drug design optimization.

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optimization and Control strategies for stochastic Power Quality of Distributed Generation 21

Optimization and Control Strategies for Stochastic Power Qua...

引用

21st International conference on Harmonics and Quality of Power

作者： Wei, Zhongying Li, Shurong Wang, Juan Zhang, Jinghui Xie, Xiangmin Qingdao Univ Coll Elect Engn Qingdao Peoples R China State Grid Hebei Elect Power Co Ltd Xiongan New Area Power Supply Co Xiongan Peoples R China

ISBN: (纸本)9798350382570;9798350382563

To solve power quality problems in distribution networks, this paper presents a distributed generation siting and capacity determination method. The methodology aims to minimize network losses, reduce the total harmonic distortion rate of voltage (THDV), and take into account load and power supply uncertainties. A probabilistic optimization solution algorithm that combines a traceless variation method and a traversal optimization algorithm is proposed, which greatly reduces the computational effort. Simulations are performed to validate it using an IEEE-69 node system. It is demonstrated that this proposed method improves the power quality by significantly reducing network losses.

关键词： Distributed generation Probabilistic models Improved traceless transformation methods Traversal optimization algorithms

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Power optimization of Hybrid Energy Harvestering from Mechanical Vibrations Using Piezoelectric and Electromagnetic Mechanisms 21

Power Optimization of Hybrid Energy Harvestering from Mechan...

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21st International conference on Mechatronics-Mechatronika

作者： Sosna, Petr Hadas, Zdenek Brno Univ Technol Fac Mech Engn Brno Czech Republic

ISBN: (纸本)9798350394917;9798350394900

The rise of wireless sensing technologies and the Internet of Things has created a growing demand for efficient hybrid energy harvesting systems. This paper presents a necessary analysis of such a hybrid system, combining both piezoelectric and electromagnetic mechanisms to generate electricity from mechanical vibrations. This analysis is a crucial step for efficient implementation into industrial applications, ensuring that the system can meet practical performance requirements. The focus is on optimizing resistive loads for both circuits to maximize power output and improve energy conversion efficiency. A single-degree -of-freedom mathematical model is used to investigate the interaction between the mechanical, piezoelectric, and electromagnetic components. Numerical simulations are employed to identify optimal conditions for efficient energy harvesting, demonstrating that combining multiple energy conversion methods could enhance overall system performance.

关键词： hybrid energy harvesting power optimization mechanical resonator piezoelectric electromagnetic vibrations impedance matching.

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