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Applying ieee recommended practice for distributed simulation engineering and execution process for modeling and simulation based airborne systems engineering

Applying ieee recommended practice for distributed simulatio...

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AIAA Scitech Forum, 2020

作者： Gerlach, Torsten Durak, Umut D’ambrogio, Andrea Institute of Flight Systems Flight Dynamics and Simulation Braunschweig Germany Department of Enterprise Engineering University of Rome "Tor Vergata" RomeI-00133 Italy

ISBN: (数字)9781624105951

ISBN: (纸本)9781624105951

ARP 4754A (Guidelines for Development of Civil Aircraft and systems) promotes modeling and simulation for aircraft systems integration, requirements validation and implementation verification. DO-331, the model-based development and verification supplement to DO-178C (Software Considerations in Airborne systems and Equipment Certification) further endorses simulation for verification of Specification Models, Design Models and executable code. While both state that the quality of simulation should be assured, there is no particular guidance for its qualification. This paper investigates the application of IEEE Recommended Practice for Distributed simulation engineering and Execution Process (DSEEP) for the qualification of simulation as a tool for airborne systems engineering. © 2020, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： systems engineering

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Artificial intelligence-based system frequency response modeling considering contribution of inverter-based resources

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Neural Computing and Applications 2024年 1-12页

作者： Feizi, Amir Golpîra, Hêmin Power Systems Modeling & Simulation Lab. Department of Electrical Engineering University of Kurdistan Kurdistan Sanandaj Iran

This paper proposes an artificial intelligence-based approach to address the contribution of inverter-based resources (IBRs) in the system frequency response (SFR) model. IBRs are assumed to be aggregated within a dynamic virtual power plant (DVPP), a new entity that can be summoned by the system operator to provide ancillary services. Current SFR models in the presence of IBRs are computationally expensive and neglect the synchronization dynamics between conventional synchronous generators (SGs) and IBRs. In conventional SFR models, the interactions between SGs were formulated through a unique synchronization coefficient. However, in modern power systems, the interaction between SGs and IBRs within DVPPs should be represented by a 2 × 2 synchronization coefficients (SCs) matrix. Hence, an attempt is made to deal with the calculation of the SCs matrix using optimization algorithms and a neural network. More precisely, optimization algorithms are employed to calculate the SCs at different prespecified operating points, which are then fed into a neural network for training purposes, enabling online SFR derivation. The proposed approach is characterized by its low computational burden and complexity, which are critical for accommodating different levels of DVPP penetration. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Virtual Power Plants

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An Adaptive Data-driven Method Based on Fuzzy Logic for Determining Power System Voltage Status

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Journal of Modern Power systems and Clean Energy 2024年第3期12卷 707-718页

作者： Sirwan Shazdeh Hêmin Golpîra Hassan Bevrani the SMGRC University of KurdistanSanandajIran Power Systems Modeling&Simulation Lab Department of Electrical EngineeringUniversity of KurdistanKurdistanSanandaj 66177-15175Iran

This paper proposes an adaptive method based on fuzzy logic that utilizes data from phasor measurement units(PMUs) to assess and classify generating-side voltage trajectories. The voltage variable and its associated derivatives are used as the input variables of a fuzzy-logic block. In addition, the voltage trajectory is compared with the pre-selected pilot-bus voltage to make a reliable decision about the voltage operational state. Different types of short-term voltage dynamics are considered in the proposed method. The fuzzy membership functions are determined using a systematic method that considers the current situation of the voltage trajectory. Finally, the voltage status is categorized into four classes to determine appropriate remedial actions. The proposed method is validated on a IEEE 73-bus power system in a MATLAB environment.

关键词： Fuzzy logic fault-induced delayed voltage recovery phasor measurement unit(PMU) short-term voltage stability situational awareness voltage classification

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Analysis on carbon emission reduction intensity of fuel cell vehicles from a life-cycle perspective

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Frontiers in Energy 2024年第1期18卷 16-27页

作者： Ziyuan TENG Chao TAN Peiyuan LIU Minfang HAN Fuel Cell and Energy Storage Center Department of Energy and Power EngineeringState Key Laboratory of Control and Simulation of Power Systems and Generation EquipmentTsinghua UniversityBeijing 100084China

The hydrogen fuel cell vehicle is rapidly developing in China for carbon reduction and *** paper evaluated the life-cycle cost and carbon emission of hydrogen energy via lots of field surveys,including hydrogen production and packing in chlor-alkali plants,transport by tube trailers,storage and refueling in hydrogen refueling stations(HRSs),and application for use in two different *** also conducted a comparative study for battery electric vehicles(BEVs)and internal combustion engine vehicles(ICEVs).The result indicates that hydrogen fuel cell vehicle(FCV)has the best environmental performance but the highest energy ***,a sufficient hydrogen supply can significantly reduce the carbon intensity and FCV energy cost of the current *** carbon emission for FCV application has the potential to decrease by 73.1%in City A and 43.8%in City *** only takes 11.0%–20.1%of the BEV emission and 8.2%–9.8%of the ICEV *** cost of FCV driving can be reduced by 39.1%in City *** improvement can be obtained with an economical and“greener”hydrogen production pathway.

关键词： hydrogen energy life-cycle assessment(LCA) fuel cell vehicle carbon emission energy cost

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Towards amulti-model infrastructure for integrated decision-making in energy transition 23

Towards amulti-model infrastructure for integrated decision-...

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23rd International Conference on Modelling and Applied simulation, MAS 2024

作者： Huang, Yilin Nikolic, Igor Section of Systems Engineering and Simulation Faculty of Technology Policy and Management Delft University of Technology Netherlands

ISBN: (纸本)9791281988019

Computational simulationmodels serve as powerful instruments for analysing complex systems, but individually they are often limited in representing systems of an interdisciplinary nature. This paper presents amulti-modelling project that takes the first steps towards an open generic solution ofmulti-model infrastructure (MMI). It aims to loosely couple individual independent (often already existing) models, facilitatemodel reuse andmeaningfulmodel interoperation in order to support integral decision-making in the Dutch energy transition. The MMI is a minimal viable product collaboratively designed and developed by a diverse group ofmodellers and energy experts. It includes facilitating services such as software andmethods that enablemulti-modelling but not the individual independent models themselves. We share the vision, approach and initial outcomes of the project, in particular, give an overview of the multi-model platform architecture design and the three use cases (andmulti-models) of marco,meso and micro scales developed to demonstrate the potential of *** also discuss the lessons learnt and future work, with the intension to invitemore research, debate and collaboration on topics ofmulti-modelling, in particular simulationmodel reuse and interoperation, and to form an even stronger and broader interdisciplinary community ofmulti-modellers. © 2024 The Authors.

关键词： Decision making

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Electrical tree degradation of MgO/epoxy resin composites at different voltage frequencies

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High Voltage 2024年第3期9卷 581-590页

作者： Yunxiao Zhang Wenxin Lin Yuanxiang Zhou Weiwei Xing Jiayu Cheng Chenyuan Teng College of Electrical Engineering and Automation Fuzhou UniversityFujian Key Laboratory of New Energy Generation and Power ConversionFuzhouChina State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical EngineeringTsinghua UniversityBeijingChina

Electrical tree degradation is one of the main causes of insulation failure in high-frequency *** tree degradation is studied on pure epoxy resin(EP)and MgO/EP composites at frequencies ranging from 50 Hz to 130 *** results show that the tree initiation voltage of EP decreases,while the growth rate and the expansion coefficient increase with ***,the bubble phenomenon at high frequencies in EP composites is *** with trap distribution character-istics within the material,the intrinsic mechanism of epoxy composites to inhibit the growth of the electrical tree at different frequencies is *** can be concluded that more deep traps and blocking effect are introduced by doping nano-MgO into EP bulks,which can improve the electrical tree resistance performance of EP composites in a wide frequency range.

关键词： composites tree Electrical

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Insights from a Nonlinear and Corresponding Linear Model of a Pulsating Heat Pipe 9th

Insights from a Nonlinear and Corresponding Linear Model of ...

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9th International and 49th National Conference on Fluid Mechanics and Fluid Power, FMFP 2022

作者： Kumar, Alok Maurya, Govind Ahmed, Nadeem Singh, Suneet Fluid Flow Systems Simulation Lab Department of Energy Science and Engineering IIT Bombay Mumbai400076 India

ISBN: (纸本)9789819978267

The majority of the thermo-physical processes are developed into a mathematical model, which is then linearized to give some insight into the operational characteristics. A model without linearization, however, can better capture the nature of the observed occurrences. Research has long focused on how to choose between a nonlinear model, which has a larger computing cost, and a linear model, which might not give true and accurate dynamics. For a pulsating heat pipe (PHP), the limitations of the linear model over the nonlinear model are discussed. The difference between the two models largely highlight the nonlinear model's ability to accurately represent real dynamics. Based on the finding of an additional Zero-Hopf point in the nonlinear model from (Kumar and Singh in IJTS 2023), an analysis of the possible presence of a hidden attractor is done. © 2024, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Dynamics

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simulation Modeling and Analysis for Supply Chain Disruptions: A Case Study from a Process Industry in Kerala 5th

Simulation Modeling and Analysis for Supply Chain Disruption...

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5th International Conference on Innovative Product Design and Intelligent Manufacturing systems, ICIPDIMS 2023

作者： Nishanth, Veedhi Shyam Abhiram, B. Bhavana, Madineni Mutyala, Vani Amrutha Thomas, Arun Rathnakaran, T. Panicker, Vinay V. Supply Chain and Systems Simulation Laboratory Department of Mechanical Engineering National Institute of Technology Calicut Kerala Kattangal India

ISBN: (纸本)9789819767311

Supply chain disruptions can significantly impact the efficiency and productivity of process industries. This study presents a simulation-based approach to analyze the supply chain of a jackfruit industry. Using Arena software, a simulation model of the supply chain was created and analyzed with disruptions caused by power supply and production bottlenecks. The findings from this study offer crucial recommendations for enhancing the efficiency and supply chain resilience of the jackfruit industry. This study can help process industries deal with supply chain problems before they happen and become more competitive in a market that is always changing. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Food supply chain Supply chain disruptions Supply chain resilience Supply Chain risk

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DMGA: A Directional-Mutation Genetic Algorithm for CDMS Problem of Kafka 21

DMGA: A Directional-Mutation Genetic Algorithm for CDMS Prob...

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21st International Conference on Networking, Sensing and Control, ICNSC 2024

作者： Ma, Hanbo Ma, Yaofei Yuan, Haitao Wang, Meijia Hu, Jingwei Wang, Yihuan Yang, Hanbo School of Automation Science and Electrical Engineering Beihang University Beijing100191 China Beijing Simulation Center National Key Laboratory of Modeling and Simulation for Complex Systems Beijing China

ISBN: (纸本)9798350365221

With the increasing role of distributed message systems (DMS) represented by Kafka in handling large-scale data streams, it is critical to improve system performance by optimizing configuration parameters in different production environments. Due to the target system possessing numerous configuration parameters and the complex interactions between them, parameter optimization becomes a complex and time-consuming process that relies heavily on human effort and an iterative trial-and-error approach. At present, this type of configuration parameter problem has been classified as the Configuration of Distributed Message systems (CDMS) problem, for which the goal is to obtain the optimal set of parameters for achieving the best performance. In order to deal with this complex problem, an automatic optimization method is proposed in this paper, which combines an automatic script-based deployment and running framework with an improved Genetic Algorithm (GA) in cooperation with the Random Forest (RF) and statistical methods, named the Directional-Mutation Genetic Algorithm (DMGA). The framework and algorithm are designed to find the best configuration efficiently, obtaining optimal parameters accurately without human supervision. Actual results of comparison experiments based on the Kafka system show that the DMGA algorithm significantly improves the data throughput performance of Kafka, and its optimization speed is more efficient than the basic GA, highlighting its potential to quickly optimize Kafka's operational efficiency in different scenarios. © 2024 IEEE.

关键词： Genetic algorithms

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Defining "Good Enough" for Modeling and simulation Verification and Validation

Defining "Good Enough" for Modeling and Simulation Verificat...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Ferguson, Ben Pratt Turner, Patricia L. Vander Wyst, Anton Systems Engineering Integration and Test Northrop Grumman Defense Systems RoyUT84067 United States Systems Modeling Simulation Northrop Grumman Mission Systems BaltimoreMD21240 United States Systems Engineering Northrop Grumman Aeronautics Systems MelbourneFL32935 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

When defining the need, developmental requirements, and expectations for a given model or simulation, how can the model owners, developers, users, and customers (a.k.a. stakeholders) know when the model has reached its expected potential? In other words, when is the Model and simulation (M&S) "good enough?" M&S stakeholders need to understand the end goal of the M&S effort to define scope and cost. Knowing what is good enough requires thinking about the definition of done before the M&S activities begin. Per the recommendations from studies by the Government Accountability Office (GAO), defining the intended use and scope early, with frequent check-ins from the customers, will reduce rework, scope creep and unintended/unneeded/unwanted fidelity required for the model’s intended use. By clearly answering design questions before implementation, the definition of done will be much clearer for the developers. This reduces swirl developers face when analyzing data to know if the model is good enough for its intended use. The tools and processes identified in this paper address government concerns in model development swirl, scope creep and cost overruns. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Sales

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