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2023 IEEE International Conference on Environment and electrical engineering and 2023 IEEE Industrial and Commercial Power systems Europe, EEEIC / I and CPS Europe 2023

作者： Ali, Ola Mohammed, Osama A. Florida International University Energy Systems Research Laboratory Department of Electrical and Computer Engineering MiamiFL33174 United States

ISBN: (纸本)9798350347432

Power system dynamics have significantly changed with the global integration of renewable energy sources (RESs). Traditionally, the stored kinetic energy is used for compensating the generation mismatch using the rotating mass of the Synchronous Generators (SGs). With the increase in RESs penetration, SGs are being replaced by inverter-based RESs generation systems which are decoupled from the power systems through power converters. Therefore, the total inertia of the system has decreased, and the system's stability is significantly impacted as the value of the rate of change of frequency (ROCOF) and frequency deviations will be increased. To overcome these challenges, inertia emulation from various energy storage systems (ESS) is used to act as a virtual source of inertia power. This work presents an isolated microgrid (MG) that includes conventional power generation sources and RESs, and an optimal virtual inertia (VI) control loop is proposed for frequency stability enhancement. Supercapacitors (SC) bank with a PID controller presents the VI control loop and acts as a supplementary source for inertia power to support the frequency stability of the system. A genetic algorithm (GA) is used as an optimization technique to get the optimal values of the PID controller gains. The performance of the islanded MG with the proposed optimal control scheme is examined under different operating conditions with varying levels of RESs penetration and system parameters uncertainties. The proposed technique showed its effectiveness and robustness over the system's operation without VI control for keeping the system stable under different operating conditions. © 2023 IEEE.

关键词： Genetic algorithms

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State of Charge Estimation Using Data-Driven Models for Inverter-Based systems

State of Charge Estimation Using Data-Driven Models for Inve...

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2023 IEEE Design Methodologies Conference, DMC 2023

作者： Hussein, Hossam Donekal, Abhishek Aghmadi, Ahmed Rafin, S M Sajjad Hossain Mohammed, Osama A. Florida International University Energy Systems Research Laboratory Department of Electrical and Computer Engineering MiamiFL33174 United States

ISBN: (纸本)9798350315547

Lithium-ion batteries are playing a critical role in many applications nowadays, from small-scale electronic devices to grid-scale storage systems. To maintain its continuous operation and increase its life span, the state of charge of the battery should be determined to ensure safe operating conditions. Among the existing charge estimation methods, data-driven models are flourishing these days. This work presents a state of charge estimation for the eFlex 52.8V/5.4 kWh lithium iron phosphate battery pack at the Energy systems research Laboratory (ESRL) at FIU. Three different machine learning models were implemented and trained through Python code to achieve the most accurate SoC estimation. Although the three proposed models can efficiently estimate the battery's SoC with an acceptable error percentage, the random forest regression model has proven its outperformance among the selected models with a percentage mean square error less than 0.01. © 2023 IEEE.

关键词： Lithium-ion batteries

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ANN-Based Secure Control of Islanded Microgrid Under False Data Injection Cyber-Attack

ANN-Based Secure Control of Islanded Microgrid Under False D...

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2023 IEEE Industry Applications Society Annual Meeting, IAS 2023

作者： Kharchouf, Ibtissam Abdelrahman, Mahmoud S. Mohammed, Osama A. Florida International University Energy Systems Research Laboratory Department of Electrical and Computer Engineering MiamiFL33174 United States

ISBN: (纸本)9798350320169

AC microgrids may be a target of cyber-attacks such as False Data Injection attack (FDIA) or Denial of Service attacks due to the use of communication technologies. These types of attacks target the communication infrastructure or the control system itself. For instance, FDIAs aim to inject false data into AC microgrids to disrupt the control system. Techniques that detect and mitigate the effect of such attacks are needed. This paper presents an AC microgrid that is structured by parallel inverters and controlled by distributed consensus control strategies to control the frequency and voltage magnitude through active and reactive power. We will investigate the FDIAs effect on the AC microgrid operation. A viable solution to address the FDIA attacks in AC microgrids is developed using an ANN-based reference tracking application to detect and mitigate the attack. The simulation results proved that the proposed strategy could detect and mitigate FDIA attacks especially if the ANN is well trained. © 2023 IEEE.

关键词： Neural networks

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Ship Platform Access Control Method Based on Zero Trust 7

Ship Platform Access Control Method Based on Zero Trust

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7th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2024

作者： Wei, Renlong Li, Guobing Beijing University of Posts and Telecommunications Beijing China Beihang University School of Computer Science and Engineering Beijing China Cssc Systems Engineering Research Institute China

ISBN: (纸本)9798350370782

With the digital transformation of the shipbuilding industry, the interaction between ship platform systems and intelligent equipment has become closer, which has led to the increasingly blurred security boundaries of ship platform systems and increased the risk of illegal access to ship platform resources. At present, ship platforms still mainly rely on static access control methods to protect sensitive resources, which can no longer meet the growing access control needs in a de-bordered environment. In order to meet this challenge, this paper introduces the zero-trust concept into the ship platform access control system. By designing a trust evaluation algorithm and a dynamic access control algorithm, the ship platform permissions can be managed more finely, and experiments are designed to verify the effectiveness of the scheme in access control. © 2024 IEEE.

关键词： Shipyards

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Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation

Fine-Tuning Language Models with Differential Privacy throug...

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2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024

作者： Li, Xianzhi Zmigrod, Ran Ma, Zhiqiang Liu, Xiaomo Zhu, Xiaodan Department of Electrical and Computer Engineering & Ingenuity Labs Research Institute Queen's University Canada J.P.Morgan AI Research United States

ISBN: (纸本)9798891761681

Language models are capable of memorizing detailed patterns and information, leading to a double-edged effect: they achieve impressive modeling performance on downstream tasks with the stored knowledge but also raise significant privacy *** differential privacy based training approaches offer robust safeguards by employing a uniform noise distribution across all ***, this overlooks the distinct sensitivities and contributions of individual parameters in privacy protection and often results in suboptimal *** address these limitations, we propose ANADP, a novel algorithm that adaptively allocates additive noise based on the importance of model *** demonstrate that ANADP narrows the performance gap between regular fine-tuning and traditional DP-SGD based fine-tuning on a series of datasets while maintaining the required privacy constraints. © 2024 Association for Computational Linguistics.

关键词： Differential privacy

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Exploration of Thermoelectric Energy Harvesting for Secure, TLS-Based Industrial IoT Nodes 1

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7th International Conference on Internet of Things, ICIOT 2022 held as Part of the Services Conference Federation, SCF 2022

作者： Lauer, Frederik Schöffel, Maximilian Rheinländer, Carl C. Wehn, Norbert Department of Electrical and Computer Engineering Microelectronic Systems Design Research Group Technische Universität Kaiserslautern Kaiserslautern67663 Germany

ISBN: (数字)9783031235825

ISBN: (纸本)9783031235818

Security is one of the biggest challenges, particularly in the Industrial IoT and in critical infrastructures. Complex cryptographic computations are in contrast to the low energy budget of the devices, especially when independence from the power grid is required, as it is the case with retrofitted sensor nodes. Energy harvesting offers a promising alternative but tightens the energy constraints of the application further. In this work, we investigate how IoT edge devices can be powered by thermal energy harvesting and concurrently meet the stringent TLS-based security requirements. We analyze a thermoelectric generator system at its lowest power output region and evaluate different energy storage technologies in a representative IoT architecture. Our results show that temperature gradients as low as 1 K are sufficient to enable secure connections every 20 min in a representative IIoT application. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Energy harvesting

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Enhancing DC Microgrid Stability under Pulsed Load Conditions through Hybrid Energy Storage Control Strategy

Enhancing DC Microgrid Stability under Pulsed Load Condition...

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2023 IEEE Industry Applications Society Annual Meeting, IAS 2023

作者： Aghmadi, Ahmed Ali, Ola Mohammed, Osama A. Florida International University Energy Systems Research Laboratory Department of Electrical and Computer Engineering MiamiFL33174 United States

ISBN: (纸本)9798350320169

Despite the increasing prevalence of DC microgrids, they encounter instability issues due to imbalances in supply and demand, especially when dealing with specific loads such as pulse load or variable pulse load. The system faces severe changes which reduce the effectiveness of typical PV-Battery control systems. The solution to this problem frequently involves the use of energy storage devices such as supercapacitors SCs. When exposed to transients, batteries risk having their lifespans shortened and are challenged in keeping the stability of DC bus voltage and reducing overall transients. In order to increase the stability of DC microgrids and thereby increase their reliability and resilience, it is possible to combine the advantages of batteries and supercapacitors. Integrating both batteries and supercapacitors effectively enables DC microgrids to manage both steady-state and transient conditions. The main goal of this research paper is to investigate how the hybrid energy storage system (HESS) improves the stability of DC microgrids. According to sets of results, the proposed scheme has successfully reduced DC bus voltage variations regardless of variations in solar irradiance and the different pulsed load profiles. © 2023 IEEE.

关键词： Supercapacitor

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Optimal Energy Reserve Scheduling in Integrated Electricity and Gas systems Considering Reliability Requirements

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Journal of Modern Power systems and Clean Energy 2022年第6期10卷 1494-1506页

作者： Hengyu Hui Minglei Bao Yi Ding Yang Yang Yusheng Xue the College of Electrical Engineering Zhejiang UniversityHangzhouChina the Department of Industrial Systems Engineering and Management National University of SingaporeSingapore State Grid Electric Power Research Institute NanjingChina

With the growing interdependence between the electricity system and the natural gas system,the operation uncertainties in either subsystem,such as wind fluctuations or component failures,could have a magnified impact on the reliability of the whole system due to energy interactions.A joint reserve scheduling model considering the cross-sectorial impacts of operation uncertainties is essential but still insufficient to guarantee the reliable operation of the integrated electricity and natural gas system(IEGS).Therefore,this paper proposes a day-ahead security-constrained unit commitment(SCUC)model for the IEGS to schedule the operation and reserve simultaneously considering reliability ***,the multi-state models for generating units and gas wells are *** on the multi-state models,the expected unserved energy cost(EUEC)and the expected wind curtailment cost(EWC)criteria are proposed based on probabilistic methods considering wind fluctuation and random failures of components in ***,the EUEC and EWC criteria are incorporated into the day-ahead SCUC model,which is nonconvex and mathematically reformulated into a solvable mixed-integer second-order cone programming(MISOCP)*** proposed model is validated using an IEEE 30-bus system and Belgium 20-node natural gas *** results demonstrate that the proposed model can effectively schedule the energy reserve to guarantee the reliable operation of the IEGS considering the multiple uncertainties in different subsystems and the cross-sectorial failure propagation.

关键词： Integrated electricity and natural gas system(IEGS) natural gas reserve electric reserve expected unserved energy cost expected wind curtailment multi-state model operational reliability

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Variable Reduction Strategy Integrated Variable Neighborhood Search and NSGA-II Hybrid Algorithm for Emergency Material Scheduling

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Complex System Modeling and Simulation 2023年第2期3卷 83-101页

作者： Zhen Shu Aijuan Song Guohua Wu Witold Pedrycz College of Systems Engineering National University of Defense TechnologyChangsha 410073China School of Traffic and Transportation Engineering Central South UniversityChangsha 410075China Department of Electrical and Computer Engineering University of AlbertaEdmontonAB T6G 2V4Canadaand also with the Systems Research InstitutePolish Academy of SciencesWarsaw 01447Poland

Developing a reasonable and efficient emergency material scheduling plan is of great significance to decreasing casualties and property ***-world emergency material scheduling(EMS)problems are typically large-scale and possess complex *** evolutionary algorithm(EA)is one of the effective methods for solving EMS ***,the existing EAs still face great challenges when dealing with large-scale EMS problems or EMS problems with equality *** handle the above challenges,we apply the idea of a variable reduction strategy(VRS)to an EMS problem,which can accelerate the optimization process of the used EAs and obtain better solutions by simplifying the corresponding EMS ***,we define an emergency material allocation and route scheduling model,and a variable neighborhood search and NSGA-II hybrid algorithm(VNS-NSGAII)is designed to solve the ***,we utilize VRS to simplify the proposed EMS model to enable a lower dimension and fewer equality ***,we integrate VRS with VNS-NSGAII to solve the reduced EMS *** prove the effectiveness of VRS on VNS-NSAGII,we construct two test cases,where one case is based on a multi-depot vehicle routing problem and the other case is combined with the initial 5∙12 Wenchuan earthquake emergency material support *** results show that VRS can improve the performance of the standard VNS-NSGAII,enabling better optimization efficiency and a higher-quality solution.

关键词： emergency material scheduling evolutionary algorithm variable reduction strategy

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Simulation analysis of the interception effectiveness of ATT against typical torpedoes 3

Simulation analysis of the interception effectiveness of ATT...

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3rd IEEE International Conference on Electronic Technology, Communication and Information, ICETCI 2023

作者： Weichen, Li Shushan, Wang Liyuan, Qiu Yuan, Gao Xiyu, Jia Beijing Institute of Technology Institute of Underwater Unmanned Systems School of Mechanical and Electrical Engineering Beijing100081 China China Shipbuilding Group Corporation Systems Engineering Research Institute Beijing100094 China

ISBN: (纸本)9798350398410

Anti-torpedo torpedo (ATT) is the most effective hard kill weapon for intercepting incoming torpedoes. In order to improve the interception efficiency of anti-torpedo torpedoes, the simulation study of anti-torpedo torpedo interception effectiveness was carried out for the surface ship defense against incoming torpedoes combat requirements during underwater attack and defense operations. On the premise of ensuring the safety of the mine-ship, an anti-torpedo torpedo interception ballistic model is established, and the operational flow, firing model and effectiveness evaluation model of ATT are given for surface ships under the typical operation mode of incoming torpedoes. Combined with the effectiveness simulation, the influence law of ATT initial ballistic parameters and other factors on the interception efficiency is analyzed. The research results can provide methods and guidance for the development and use of ATT weapons, and also can provide useful reference and technical support for the analysis and evaluation of the operational effectiveness of torpedo defense weapons in general, which has important engineering application value. © 2023 IEEE.

关键词： Efficiency

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