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2023 IEEE Electric Ship Technologies Symposium, ESTS 2023

作者： Siddaiah, Rounak Cuzner, Robert M. Sailabada, Chaianan Ordonez, Juan Rajagopal, Narayanan Dimarino, Christina Chatterjee, Avi Chalfant, Julie University of Wisconsin Milwaukee Sustainable Electrical Energy Systems Department of Electrical Engineering MilwaukeeWI United States Florida State University Center for Advanced Power Systems Department of Mechanical Engineering TallahasseeFL United States Center for Power Electronics Systems Virginia Polytechnic Institute State University ArlingtonVA United States Massachusetts Institute of Technology Sea Grant Design Laboratory CambridgeMA United States

ISBN: (纸本)9781665465151

Naval shipboard power systems are complex and difficult to size and arrange due to their geographically distributed components. A modular power Electronic Distribution System (PEPDS) built inside a Naval Integrated power Electronic Corridor (NiPEC) has been proposed as a means of providing flexibility of power and energy delivery between sources and loads that significantly reduces electrical-thermal-structural overhead. In this study, a virtual prototyping process/that applies to PEPDS power trains is demonstrated. This approach enables the incorporation of digital twins of system building blocks, such as power Electronic Building Block (PEBBs) and Integrated PEBB (iPEBBs) that have previously been reported on. The VPP ensures Pareto optimal integration of PEBB/iPEBB into PEPDS power trains and utilizes a unique dimensional compilation approach to account for the impacts of insulation coordination, repairability and thermal management on power density. This paper demonstrates Measure of Performance (MOP) outcomes of VPP and data management that can enable model based early-stage design exploration at the total ship level. © 2023 IEEE.

关键词： Electric loads

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Longitudinal control for Autonomous Racing with Combustion Engine Vehicles

arXiv

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arXiv 2025年

作者： Pitschi, Phillip Sagmeister, Simon Goblirsch, Sven Lienkamp, Markus Lohmann, Boris Technical University of Munich School of Engineering & Design Department of Engineering Physics and Computation Institute of Automatic Control Germany Technical University of Munich School of Engineering & Design Department of Mobility Systems Engineering Institute of Automotive Technology Germany

Usually, a controller for path- or trajectory tracking is employed in autonomous driving. Typically, these controllers generate high-level commands like longitudinal acceleration or force. However, vehicles with combustion engines expect different actuation inputs. This paper proposes a longitudinal control concept that translates high-level trajectory-tracking commands to the required low-level vehicle commands such as throttle, brake pressure and a desired gear. We chose a modular structure to easily integrate different trajectory-tracking control algorithms and vehicles. The proposed control concept enables a close tracking of the high-level control command. An anti-lock braking system, traction control, and brake warmup control also ensure a safe operation during real-world tests. We provide experimental validation of our concept using real world data with longitudinal accelerations reaching up to 25 sm2 . The experiments were conducted using the EAV24 racecar during the first event of the Abu Dhabi Autonomous Racing League on the Yas Marina Formula 1 Circuit. Copyright © 2025, The Authors. All rights reserved.

关键词： Traction control

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Study on the operating parameters of the 10 kW SOFC-CHP system with syngas

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International Journal of Coal Science & Technology 2021年第4期8卷 500-509页

作者： Biao Li Zewei Lyu Jianzhong Zhu Minfang Han Zaihong Sun State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Energy and Power EngineeringTsinghua UniversityBeijing 100084China Suzhou Huatsing Power Co. LtdJiangsu 210094China

Solid oxide fuel cell combined with heat and power(SOFC-CHP)system is a distributed power generation system with low pollution and high *** this paper,a 10 kW SOFC-CHP system model using syngas was built in Aspen *** operating parameters,such as steam to fuel ratio,stack temperature,reformer temperature,air flow rate,and air preheating temperature,were *** was conducted based on the simulation *** suggest that higher steam to fuel ratio is beneficial to the electrical efficiency,but it might decrease the gross system *** stack and reformer temperatures contribute to the electrical efficiency,and the optimal operating temperatures of stack and reformer when considering the stack degradation are 750℃and 700℃,*** air preheating temperature barely affects the electrical efficiency but affects the thermal efficiency and the gross system efficiency,the recommended value is around 600℃under the reference condition.

关键词： SOFC-CHP system Operational parameters Optimization Efficiency

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Two-Stage Robust Optimization Under Decision Dependent Uncertainty

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1295-1306页

作者： Yunfan Zhang Feng Liu Yifan Su Yue Chen Zhaojian Wang João P.S.Catalão State Key Laboratory of Power System and Generation Equipment the Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Department of Mechanical and Automation Engineering the Chinese University of Hong KongHong Kong SARChina Ministry of Education Key Laboratory of System Control and Information Processing the Department of AutomationShanghai Jiao Tong Universityand also with Shanghai Engineering Research Center of Intelligent Control and ManagementShanghai 200240China Faculty of Engineering of the University of Porto and Institute for Systems and Computer Engineering Technology and Science(INESC TEC)Porto 4200-465Portugal IEEE

In the conventional robust optimization(RO)context,the uncertainty is regarded as residing in a predetermined and fixed uncertainty *** many applications,however,uncertainties are affected by decisions,making the current RO framework *** paper investigates a class of two-stage RO problems that involve decision-dependent *** introduce a class of polyhedral uncertainty sets whose right-hand-side vector has a dependency on the here-and-now decisions and seek to derive the exact optimal wait-and-see decisions for the second-stage problem.A novel iterative algorithm based on the Benders dual decomposition is proposed where advanced optimality cuts and feasibility cuts are designed to incorporate the uncertainty-decision *** computational tractability,robust feasibility and optimality,and convergence performance of the proposed algorithm are guaranteed with theoretical *** motivating application examples that feature the decision-dependent uncertainties are ***,the proposed solution methodology is verified by conducting case studies on the pre-disaster highway investment problem.

关键词： Benders decomposition decision-dependent uncertainty endogenous uncertainty robust optimization(RO)

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EXPERIMENTAL TESTING OF A DYNAMIC AMPLIFIER (DDA) ENHANCED PHONONIC METAMATERIAL ON LEGO® TECH-NIC DEVICE 29

EXPERIMENTAL TESTING OF A DYNAMIC AMPLIFIER (DDA) ENHANCED P...

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29th International Congress on Sound and Vibration, ICSV 2023

作者： Kalderon, Moris Mantakas, Antonis Chondrogiannis, Kyriakos Antoniadis, Ioannis School of Mechanical Engineering Department of Mechanical Design and Control Systems National Technical University of Athens Athens Greece School of Civil Engineering Institute of Structural Analysis and Antiseismic Research Department of Structural Engineering National Technical University of Athens Athens Greece Department of Civil Environmental and Geomatic Engineering ETH Zurich Zurich8093 Switzerland

ISBN: (纸本)9788011034238

In this study, a novel Dynamic Directional Amplifier, namely the DDA, is implemented in an experimental scaled phononic set-up that is constructed using LEGO® technical components. Experimental testing is undertaken as a feasibility assessment of the concept and results indicate the low-frequency wave attenuation properties of the structure. © 2023 Proceedings of the International Congress on Sound and Vibration. All rights reserved.

关键词： Metamaterials

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Modelling and harmonic analysis of metro traction power supply system 18

Modelling and harmonic analysis of metro traction power supp...

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18th International Conference on AC and DC power Transmission, ACDC 2022

作者： Guo, Peiqian Zhao, Yuming Liu, Guowei Yuan, Zhichang Wu, Aijun Wang, Yuxuan Jiang, Zhilin Xiang, Miaoyi State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Tsinghua University Beijing China Shenzhen Power Supply Corporation Shenzhen China

ISBN: (数字)9781839537615

ISBN: (纸本)9781839537615

The large number of nonlinear loads used in urban metro rail traction grids distorts the voltage and current on the load side, then generates harmonics. The resulting capacitive characteristic harmonics current component provides feedback to the power grid, thus causing additional power losses and equipment damage. To solve this power quality problem, a detailed dynamic simulator of the metro traction power supply system is developed, which includes the corresponding 24-pulse rectifier and low-voltage power distribution system. Based on the established simulator, a study of the harmonic content and characteristics research of the 24-pulse rectifier and low-voltage electricity-consuming equipment are performed. In combination with the digital simulator, we presented and disused the lower-order frequency harmonic currents of the 35kV AC bus exhibiting capacitive characteristics. The results lay a technical foundation for harmonic equivalent impedance calculation and harmonic current suppression of the metro traction power supply system. © ACDC 2022. All rights reserved.

关键词： Simulators

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High-power LED Lamp Driver Modelling 7

High-Power LED Lamp Driver Modelling

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7th International Youth Conference on Radio Electronics, Electrical and power engineering, REEPE 2025

作者： Chukhraev, Igor V. Sevastyanova, Marina A. Drach, Vladimir E. Torkunova, Julia V. Bauman Moscow State Technical University Computer Science and Control Department Moscow Russia Sochi State University Department of Innovative Engineering and Digital Technologies Sochi Russia Kazan State Power Engineering University Department of Information Technologies and Intelligent Systems Kazan Russia

ISBN: (纸本)9798331531836

The growing demand for energy-saving lamps highlights critical limitations in traditional LED secondary optics, which reduce energy efficiency and complicate heat dissipation - a key factor in LED lamp longevity. This study proposes an optimized circuit design for a 20-watt LED driver that addresses these issues. The proposed driver ensures effective LED control while improving thermal management and eliminating drawbacks of conventional designs. Key principles of modern LED lamp design and current challenges are identified. The electronic schematic of the high-power LED driver was simulated using LTSpice software in order to analyze and optimize the circuit's performance, resulting in a driver solution that enhances efficiency and reliability. © 2025 IEEE.

关键词： Energy efficiency

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Semantic Mapping of Definitions for Constructing Ontologies of Business Processes 45

Semantic Mapping of Definitions for Constructing Ontologies ...

引用

45th Jubilee International Convention on Information, Communication and Electronic Technology, MIPRO 2022

作者： Fomichov, V.A. Moscow Aviation Institute National Research University Institute No. 3 "control Systems Informatics and Electric Power Engineering" Department of Intelligent Monitoring Systems Moscow121552 Russia

ISBN: (纸本)9789532331035

The paper grounds the topicality of developing natural language (NL) processing systems for constructing business processes models, in particular, their ontologies. It introduces an original algorithm of semantic mapping of the notions' definitions in NL (on the example of English language). A definition in NL is transformed into its semantic representation being an expression of an SK-language (standard knowledge language). The class of SK-languages is introduced in the author's theory of K-representations (knowledge representations). The suggested algorithm AlgSemDef1 is able to process the notions' definitions including attribute clauses, infinitives, the logical connectives 'not", "and', "or". © 2022 Croatian Society MIPRO.

关键词： Ontology

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Adaptive Time Period Aggregation for Day-ahead Unit Commitment

Adaptive Time Period Aggregation for Day-ahead Unit Commitme...

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2022 Tsinghua-IET Electrical engineering Academic Forum, TDF 2022

作者： Yu, Zekuan Zhong, Haiwang Yan, Xinfei Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipments Beijing China

ISBN: (数字)9781839537998

ISBN: (纸本)9781839537998

The growing penetration of renewables calls for finer temporal resolutions of the day-ahead unit commitment (DA-UC) problem in order to accommodate the fluctuations and improve the performance of UC schedules, leading to the expansion of the DA-UC problem scale. However, due to its high computational burden, the viability of adopting larger UC models in practice becomes a challenge. In this paper, an adaptive time period aggregation strategy and a corresponding DA-UC model are proposed to reduce the model scale while preserving feasibility and accuracy. The aggregation strategy integrates the statistical characteristics of net demand with the operational characteristics of thermal units to effectively capture the consistency in on/off statuses. Case study based on the IEEE 118-bus system validates that, combined with a post-processing procedure, the proposed strategy and model can provide near-optimal UC schedules with approximately 5 times acceleration for various demand profiles, enhancing computational efficiency. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Computational efficiency

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Demand Response Strategy for HVAC Based on Reinforcement Learning and Imitation Learning

Demand Response Strategy for HVAC Based on Reinforcement Lea...

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2022 Tsinghua-IET Electrical engineering Academic Forum, TDF 2022

作者： He, Yiliu Zhong, Haiwang Zhang, Guanglun Ruan, Guangchun Department of Electrical Engineering Tsinghua University Beijing China State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Beijing China

ISBN: (数字)9781839537998

ISBN: (纸本)9781839537998

Heating, ventilation and air conditioning (HVAC) loads have great potential for demand response due to the buildings' thermal inertia. Modelling the complex thermal dynamics of realistic buildings is essential for the building energy optimization. In this paper, Deep Q-Network (DQN), a reinforcement learning (RL) algorithm, is used to decide the indoor temperature setpoint in response to the real-time price. The agent can adjust the HVAC load to reduce the electricity cost while considering the occupants' comfort requirement. To significantly accelerate the training process, imitation learning is adopted to pre-train the RL agent using historical data. The results of the case study show that the agent's performance improves steadily and exceeds the benchmark after a short period of training. © 2022 IET Conference Proceedings. All rights reserved.

关键词： Reinforcement learning

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