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Intelligent Predetermination of Generator Tripping Scheme: Knowledge Fusion-based Deep Reinforcement Learning Framework

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CSEE Journal of Power and Energy Systems 2024年第1期10卷 66-75页

作者： Lingkang Zeng Wei Yao Ze Hu Hang Shuai Zhouping Li Jinyu Wen Shijie Cheng State Key Laboratory of Advanced Electromagnetic Engineering and Technology School of Electrical and Electronics EngineeringHuazhong University of Science and TechnologyWuhan 430074China Dispatching and Control Center Central China Branch of State Grid Corporation of ChinaWuhan 430077China. Department of Electrical Engineering and Computer Science University of TennesseeKnoxvilleTN 37996USA

Generator tripping scheme(GTS)is the most commonly used scheme to prevent power systems from losing safety and ***,GTS is composed of offline predetermination and real-time scenario ***,it is extremely time-consuming and labor-intensive for manual predetermination for a large-scale modern power *** improve efficiency of predetermination,this paper proposes a framework of knowledge fusion-based deep reinforcement learning(KF-DRL)for intelligent predetermination of ***,the Markov Decision Process(MDP)for GTS problem is formulated based on transient instability ***,linear action space is developed to reduce dimensionality of action space for multiple controllable ***,KF-DRL leverages domain knowledge about GTS to mask invalid actions during the decision-making *** can enhance the efficiency and learning ***,the graph convolutional network(GCN)is introduced to the policy network for enhanced learning *** simulation results obtained on New England power system demonstrate superiority of the proposed KF-DRL framework for GTS over the purely data-driven DRL method.

关键词： Deep reinforcement learning generator tripping scheme graph convolutional network invalid action masking knowledgefusion

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A Single Phase Five Level Switched Capacitor Inverter With Common Ground Configuration

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IEEE Access 2024年 12卷 101814-101828页

作者： Al Shaheer, Abdullah Mohammad Hammad, Syed Sarwar, Adil Zaid, Mohammad Ahmad, Shafiq Liu, Hwa-Dong ZHCET Aligarh Muslim University Department of Electrical Engineering King Saud University College of Engineering Industrial Engineering Department National Taiwan Normal University Undergraduate Program of Vehicle and Energy Engineering

In the energy sector, the application of renewable energy sources especially solar photovoltaics (PV), is expanding exponentially. Inverters find application in converting DC power from solar PV generating arrays to AC power and feeding it to grid. This study proposes a 5-level switched-capacitor multilevel inverter (SCMLI) that can be used for solar PV applications. The problem of leakage current was mitigated with the use of common ground configuration. Based on various performance parameters a comparison with recently proposed SCMLI's has been carried out. The proposed SCMLI achieves an efficiency of 95.03% under a 2-kW load. It utilizes one input DC power source, 7 switches, and 2 capacitors only. The experimental results of the proposed inverter show better harmonic profile with reduced Total Harmonic Distortion (THD). The performance of the proposed MLI topology is validated through MATLAB/SIMULINK. Moreover, loss analysis has been carried out on PLECS platform. The hardware implementation is done on a power converter test bed. © 2013 IEEE.

关键词： common ground multilevel inverter Single phase switched capacitor

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Compositional Planning for Logically Constrained Multi-Agent Markov Decision Processes 63

Compositional Planning for Logically Constrained Multi-Agent...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Kalagarla, Krishna C. Low, Matthew Jain, Rahul Nayyar, Ashutosh Nuzzo, Pierluigi University of Southern California Ming Hsieh Department of Electrical and Computer Engineering Los Angeles United States University of New Mexico Department of Electrical and Computer Engineering Albuquerque United States University of California Department of Electrical Engineering and Computer Sciences BerkeleyCA United States

ISBN: (纸本)9798350316339

Designing control policies for large, distributed systems is challenging, especially in the context of critical, temporal logic based specifications (e.g., safety) that must be met with high probability. Compositional methods for such problems are needed for scalability, yet relying on worst-case assumptions for decomposition tends to be overly conservative. In this work, we use the framework of Constrained Markov Decision Processes (CMDPs) to provide an assume-guarantee based decomposition for synthesizing decentralized control policies, subject to logical constraints in a multi-agent setting. The returned policies are guaranteed to satisfy the constraints with high probability and provide a lower bound on the achieved objective reward. We empirically find the returned policies to achieve near-optimal rewards while enjoying an order of magnitude reduction in problem size and execution time. © 2024 IEEE.

关键词： Markov processes

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Designing an improved deep learning-based model for COVID-19 recognition in chest X-ray images: a knowledge distillation approach

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Iran Journal of computer Science 2024年第2期7卷 177-187页

作者： BabaAhmadi, AmirReza Khalafi, Sahar ShariatPanahi, Masoud Ayati, Moosa School of Mechanical Engineering College of Engineering University of Tehran Tehran Iran Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan Iran

The COVID-19 pandemic has had a significant impact on society, necessitating accurate identification and suitable medical treatment. This study addresses two primary objectives: reducing computational costs for running the model on embedded devices, mobile devices, and conventional computers and improving the model's performance relative to existing methods for high-performance and accurate medical recognition. To achieve these goals, we utilized two neural networks, VGG19 and ResNet50V2, for improved feature extraction from the dataset. Consequently, the semantic features supplied by these networks were combined in a fully connected classifier layer to achieve satisfactory classification results for normal and COVID-19 cases. In addition, MobileNetV2, which is effective on mobile and embedded devices, was adopted to reduce computational demands. Furthermore, knowledge distillation was used to transfer information from the teacher networks (ResNet50V2 and VGG19) to the student network (MobileNetV2), improving its performance in COVID-19 identification. Pre-trained networks and fivefold cross-validation were used to evaluate the proposed method. The model achieved an accuracy of 98.8% and an F1 score of 99.1% in detecting infectious and normal cases. These results demonstrate the superior performance of our approach. The student model is suitable for conventional computers, embedded systems, and clinical experts' cell phones, with acceptable accuracy and F1 score using cross-validation. Our method provides a cost-effective solution for COVID-19 identification, enabling wider accessibility and accurate diagnosis. Moreover, the proposed method outperforms previous works by improving accuracy, F1 score, and other related metrics by at least 1%. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： Chest X-ray images COVID-19 Deep learning Knowledge distillation Medical image analysis Teacher–student model

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Design of an Optical Wireless Communication Link Using Mid Wave Infrared Laser Source & Comparison with Short Wave Infrared Laser Sources in Different Atmospheric Anomalies: An Analytical Study

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Nonlinear Optics Quantum Optics 2024年第1-2期60卷 85-111页

作者： Mukherjee, Shibabrata Paul, Sujoy Mazumdar, Saswati Electrical Engineering Department Jadavpur University West Bengal Kolkata700032 India Centre for Distributed Computing Computer Science Engineering Department Jadavpur University West Bengal Kolkata700032 India

Optical Wireless Communication (OWC), sometimes referred to as Free Space Optics (FSO), is the backbone of leading-edge communication systems that offer high performance and fast speed. The main pitfall of this system is that the optical signal is hindered by the different atmospheric anomalies. As a result, the system performance has been distorted and degraded. Among the different atmospheric anomalies like fog, rain, snow, etc., fog is the main enemy of this system. Using the properly chosen optics at the transmitter and receiver sides and wavelength, the system performance may be increased in diverse weather conditions. In this article, four wavelengths like two Mid Wave Infrared (MWIR) (3400 nm, 4100 nm) and two Short Wave Infrared (SWIR) (1550 nm & 2000 nm), 27 dBm optical peak power, the OOK modulation technique, 10 MHz modulation bandwidth, 10-7 BER, 2 km optical wireless link distance have been considered. From the theoretical simulation results, it has been initiated that MWIR optical sources (like 4100 nm and 3400 nm) contribute 72.22 dB, and 71.27 dB link margin at adverse atmospheric anomalies respectively, whereas SWIR Optical sources like 1550 nm & 2000 nm furnish 67.70 dB, 68.50 dB link margin respectively for 2 km link distance. The 4100 nm wavelength Laser source performs better in different atmospheric anomalies and provides a better pointing error angle in clear, as well as adverse weather conditions, compared to other wavelengths. © 2024 Old City Publishing, Inc.

关键词： Space optics

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A Multifunctional Hydrogel with Multimodal Self-Powered Sensing Capability and Stable Direct Current Output for Outdoor Plant Monitoring Systems

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Nano-Micro Letters 2025年第4期17卷 1-24页

作者： Xinge Guo Luwei Wang Zhenyang Jin Chengkuo Lee Department of Electrical&Computer Engineering National University of Singapore4 Engineering Drive 3Singapore 117576Singapore Center for Intelligent Sensors and MEMS(CISM) National University of Singapore5 Engineering Drive 1Singapore 117608Singapore NUS Graduate School-Integrative Sciences and Engineering Program(ISEP) National University of SingaporeSingapore 119077Singapore Research Center for Sustainable Urban Farming(SUrF) National University of SingaporeSingapore 117558Singapore

Smart farming with outdoor monitoring systems is critical to address food shortages and sustainability *** systems facilitate informed decisions that enhance efficiency in broader environmental *** outdoor systems equipped with energy harvesters and self-powered sensors often struggle with fluctuating energy sources,low durability under harsh conditions,non-transparent or non-biocompatible materials,and complex ***,a multifunctional hydrogel is developed,which can fulfill all the above requirements and build selfsustainable outdoor monitoring systems solely by *** can serve as a stable energy harvester that continuously generates direct current output with an average power density of 1.9 W m^(-3)for nearly 60 days of operation in normal environments(24℃,60%RH),with an energy density of around 1.36×10^(7)J m^(-3).It also shows good self-recoverability in severe environments(45℃,30%RH)in nearly 40 days of continuous ***,this hydrogel enables noninvasive and self-powered monitoring of leaf relative water content,providing critical data on evaluating plant health,previously obtainable only through invasive or high-power consumption *** potential extends to acting as other self-powered environmental *** multifunctional hydrogel enables self-sustainable outdoor systems with scalable and low-cost production,paving the way for future agriculture.

关键词： Self-powered sensor Hydrogel Energy harvester Outdoor farming Self-sustainable IoT

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Non-TEM Dispersion in Microstrip Structures at High Data Rates

IEEE Transactions on Signal and Power Integrity

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IEEE Transactions on Signal and Power Integrity 2024年 3卷 178-185页

作者： Rao, Aditya Bogatin, Eric Piket-May, Melinda Hadi, Mohammed F. University of Colorado Boulder Department of Electrical Computer and Energy Engineering BoulderCO80309 United States

This article details the impact of non-TEM propagation on a microstrip structure's crosstalk, impedance, and effective dielectric constant. A new onset frequency is defined to quantify where non-TEM dispersion is significant in microstrip transmission lines for high-speed digital applications. The impact of non-TEM dispersion on eye diagrams for digital signals is explored, showing a significant impact from non-TEM dispersion. Using this analysis, guidelines have been defined for when a full-wave simulator must be utilized to simulate a microstrip structure and when a quasi-static simulator provides accurate results at a given data rate. © 2022 IEEE.

关键词： Crosstalk

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Energy Consumption Optimisation for Horticultural Facilities 29

Energy Consumption Optimisation for Horticultural Facilities

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29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024

作者： Zhukovskii, Kirill Ovsiannikova, Polina Jhunjhunwala, Pranay Scarabaggio, Paolo Carli, Raffaele Dotoli, Mariagrazia Vyatkin, Valeriy Luleå Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden Aalto University Department of Electrical Engineering and Automation Espoo Finland Polytechnic University of Bari Department of Electrical and Information Engineering Bari Italy

ISBN: (纸本)9798350361230

This paper proposes a framework designed to optimise energy consumption in vertical farming. It aims to maximise cost efficiency by balancing between minimising system operations during the electricity price peaks and the ability to trade capacity on the FCR market while also fulfilling constraints on the internal growing process. We consider that the vertical farming system has distributed control with a series of actuators controlled by various spatially distributed PLCs that we refer to as agents, to underline their independence. The paper conducts two experiments for a lO-agent system with a Pareto controller and a lOO-agent system with a Lagrangian approach and shows the balance between more cost-efficient momentary energy consumption control. © 2024 IEEE.

关键词： energy consumption optimisation multi-agent systems vertical farming

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Blockchain-Enhanced Security for LEO Satellite Firmware Updates in Beyond-5G NTN Networks 29

Blockchain-Enhanced Security for LEO Satellite Firmware Upda...

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29th IEEE International Workshop on computer Aided Modeling and Design of Communication Links and Networks, CAMAD 2024

作者： Worku, Yonatan M. Tshakwanda, Petro M. Tsegaye, Henok B. Christodoulou, Christos Devetsikiotis, Michael Sacchi, Claudio University of New Mexico Department of Electrical and Computer Engineering United States University of Trento Department of Information Engineering and Computer Science Italy

ISBN: (纸本)9798350377644

The integration of terrestrial and Non-Terrestrial Networks (NTNs) represents a significant advancement in communication technology in the framework of the ongoing beyond-5G standardization process. This integration offers broader coverage, especially in remote and underserved areas, and improved reliability through diversified network paths. Additionally, it paves the way for new services and applications that benefit from ubiquitous connectivity. To achieve enhanced Quality of Service (QoS) and Service Level Agreements (SLAs), the end-to-end network should be open and visible to service providers and users. However, such a clear-mode approach introduces various security threats, making the network susceptible to unauthorized access and service disruption. To address these challenges, a blockchain-based satellite firmware update strategy across terrestrial 5G core and access networks is proposed. This study explores the tradeoff between throughput and QoS in the 5G NTN network when blockchain is implemented. Our experimental setup involved a network of Low Earth Orbit (LEO) satellites integrated with a 5G core, deploying a blockchain-based authentication mechanisms to secure satellite communications. The results show a tangible improvement in authentication efficiency, despite a throughput degradation of around 10 % and a latency increase of 17 % from the baseline values obtained without blockchain security. This tradeoff highlights the cost of enhanced security counter-measures in terms of network performance. Nonetheless, the security benefits, measured through successful authentication attempts, fully justify blockchain integration in scenarios where security is paramount. The proposed approach promises to secure communications in '5G and beyond' NTN hybrid environments by ensuring integrity and confidentiality to the traffic flows. © 2024 IEEE.

关键词： 5G mobile communication systems

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Optimization of Residential Net Load using Demand Response and Battery Storage 3

Optimization of Residential Net Load using Demand Response a...

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3rd International Conference on Energy Transition in the Mediterranean Area, SyNERGY MED 2024

作者： Bracho, Jorge Ilia, Neofytos Makrides, George Tseng, Alex R. Herodotou, Panagiotis Georgiou, George E. PV Technology Laboratory Department of Electrical and Computer Engineering Cyprus for Intelligent Nicosia Cyprus Princeton University Electrical and Computer Engineering NJ United States

ISBN: (纸本)9798350375923

Demand side management (DSM) and solar-plus-storage systems are enabling technologies that facilitate consumers to increase self-consumption (SC), while reducing electricity costs through efficient and intelligent electricity usage. Even though many demand response (DR) strategies have been presented for the residential sector, a major challenge remains the joint optimal utilization and synergies of DR and the battery systems flexibility scheduling. This paper explores how the optimization of DR and battery energy storage systems (BESS) scheduling can notably improve the net load profile of residential users. The obtained results indicate that the optimized DR model and battery storage effectively support load shifting and peak energy utilization. Specifically, the analysis suggests that the combination of DR and an 8kWh battery storage system increased the SC from 55.04% to 95.84% and the SS from 37.50% to 66.88%, compared to a baseline scenario (without battery storage and DR actions). Ultimately, the proposed optimization achieved a higher degree of energy autonomy for the yearly profile of a median household by minimizing the sum of absolute values of the net load with load shifting and BESS charging/discharging. Finally, the optimization model can be used by aggregators and system operators for scheduling and optimizing flexibility actions. © 2024 IEEE.

关键词： Demand response

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