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Data-driven Secure Authentication for Smart grid IoT Networks 9

Data-driven Secure Authentication for Smart Grid IoT Network...

引用

9th ieee international conference on electronics, computing and Communication Technologies, CONeCCT 2023

作者： Singhal, Saumyashree Tripathi, Sharda Birla Institute of Technology and Science Pilani Pilani India

ISBN: (纸本)9798350334395

Internet of Things (IoT) has found wide-spread usage in cyber physical systems. We consider the security aspects related to cyber physical systems, particularly the smart grid, wherein IoT devices are deployed for monitoring and control, often in the open without any active surveillance, thereby increasing their vulnerability to security attacks. To this end, device authentication is an essential security feature for smart grid IoT networks. A desirable authentication protocol designed for IoT devices should not only be robust when the device is compromised by an adversary, it also needs to be computationally efficient in the wake of limited storage and computational capabilities of IoT devices. In this work, we address the critical issue of device security in smart grid IoT networks, and propose a data-driven, yet lightweight and privacy preserving authentication scheme for IoT devices. The performance analysis based on our experiments show that the proposed scheme is robust against heterogeneous network attacks, and significantly reduces computational load. © 2023 ieee.

关键词： Machine learning

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Active STAR-RIS Assisted Digital Twin-based URLLC Internet-of-Things Networks

Active STAR-RIS Assisted Digital Twin-based URLLC Internet-o...

引用

59th Annual ieee international conference on Communications (ieee ICC)

作者： Lestari, Tri Ayu Kurma, Sravani Singh, Keshav Paul, Anal Duong, Trung Q. Natl Sun Yat Sen Univ Inst Commun Engn Kaohsiung Taiwan Queens Univ Belfast Sch Elect Elect Engn & Comp Sci Belfast Antrim North Ireland

ISBN: (纸本)9781728190549

This paper presents a novel design for a mobile edge computing (MeC) service that integrates digital twin technology with an active simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS). This configuration leverages edge intelligence, aiming to strengthen ultra-reliable and low-latency communications (URLLC) within Internet-of-Things (IoT) frameworks. We explore the uplink data transmission path from singular-antenna IoT URLLC nodes (UNs) to a multi-antenna base station (BS) facilitated by an active STAR-RIS. Our focus is on framing an end-to-end (e2e) latency reduction strategy for the presented system. Due to the inherent non-convexity of this problem, we propose an efficient alternating optimization (AO) algorithm to get a solution. This algorithm decomposes the main problem into five distinct sub-problems: transmit beamforming design, optimization of caching and offloading policies, joint communication and computation optimization, and enhancement of active STAR-RIS beamforming. An extensive set of simulation outcomes indicates that our DT-enhanced optimal-phase STAR-RIS approach consistently surpasses benchmark methods, particularly when accounting for variables such as power constraints, the number of RIS elements, the caching capacity of the edge computing server (eCS), and the number of IoT UNs.

关键词： Active simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) mobile edge computing (MeC) digital twin (DT) ultra-reliable and low-latency communications (URLLC) Internet of Things (IoT) alternating optimization (AO)

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Grateful Chatbots: Public Sensemaking through Individual Gratitude Interventions 9

Grateful Chatbots: Public Sensemaking through Individual Gra...

引用

9th international conference on eDemocracy and eGovernment, (ICeDeG)

作者： Schuler, Timo Portmann, edy Univ Fribourg Human IST Inst Fribourg Switzerland

ISBN: (纸本)9798350324501

This paper outlines a research plan that aims to build resilient and adaptive systems for public sensemaking through conversational agent-enabled, narrative-based, autonomous self-actualization interventions. Our research follows a design science research (DSR) methodological approach that is comprised of iterative design cycles (DC) and provides design principles (DP) and testable propositions (TP) as an outcome. The individual-centered approach serves as a basis to explore ways to harness these narrative-based interventions for large-scale public sensemaking. The proposed DP have yet to be fully evaluated as testable propositions in an experimental setting, but we are considering future directions for improving the developmental intervention or allowing for easier evaluation.

关键词： conversational agents conversation theory conversational design personality adapted conversational agents design science research human centred interaction science and technology sensemaking collective intelligence self-actualization digital learning computing with words

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enhanced Control of Active Half-Bridge Type Four-Wire Vienna Rectifier under Unbalanced grid Voltage Conditions 7

Enhanced Control of Active Half-Bridge Type Four-Wire Vienna...

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7th ieee international electrical and energy conference, CIeeC 2024

作者： Tan, Guangjun Zhang, Jinhua Zhao, Wei Sun, Xiaofeng Qinhuangdao China

ISBN: (纸本)9798350359558

In order to enhance the Vienna rectifier's performance during three-phase unbalanced voltage conditions and mitigate the deviation of the capacitor midpoint voltage, a novel active half-bridge four-wire Vienna rectifier topology is proposed. This paper first introduces 3-D unbalance coordinate transformation to establish a control strategy for the active half-bridge four-wire Vienna rectifier based on PI control method, aiming at managing the zero-sequence voltage under unbalanced grid voltage conditions. Through the detection of second harmonic component of the output voltage, a control law is formulated to regulate the input current amplitudes, thereby eliminating the second harmonic ripple. Additionally, Multiple Proportional-Resonant (MPR) control is applied to regulate the capacitor midpoint voltage. Simulation results under unbalanced grid voltage conditions confirm the effectiveness of the proposed control strategy in eliminating three-phase current distortion, suppressing the deviation of capacitor midpoint voltage, and obtaining minimal rectifier output voltage ripple. © 2024 ieee.

关键词： electric rectifiers

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Cyber-Physical Security System in Smart grid-A Review 14

Cyber-Physical Security System in Smart Grid-A Review

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14th international conference on computing Communication and Networking Technologies, ICCCNT 2023

作者： Akshatha, Y. Poornima, A.S. Siddaganga Institute of Technology Department of Computer Science and Engineering Tumakuru India

ISBN: (纸本)9798350335095

The Smart grid System (SGS) is a smart technology that is a combination of advanced technology and physical aspects that facilitates bidirectional communication of information exchange, power generation, and power distribution. The communication technology development in traditional power systems is by deploying cyber-physical systems in smart grid. SGS has a compound architecture consisting of several critical devices and infrastructure of the Internet of Things (IoT). The deployment of the devices is vulnerable to many cyber-attacks. Hence, it is required to do much research to secure the devices from attacks and environmental damage. So, this paper comprehensively reviews cyber-physical, cyber-security, and key components of cyber-attacks. Then we present each section in detail and thoroughly the standards and principles of cyber-physical and cyber-security attacks in smart grid systems. This paper gives a deep understanding of cyber-security systems in smart grid system applications. © 2023 ieee.

关键词： Cyber attacks

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Low Carbon Scheduling of Thermal Power Unit Thermal Storage Capacity Based on Particle Swarm Optimization 5

Low Carbon Scheduling of Thermal Power Unit Thermal Storage ...

引用

5th international conference on Information science, Parallel and Distributed Systems, ISPDS 2024

作者： Cao, Wenbin Wang, Mingkai Han, Bo Chai, Qi Li, Hongtao Liu, Ying State Grid Chaoyang Electric Power Supply Company China State Grid Liaoning Electric Power Supply Co. Ltd Shenyang China Chinese Academy of Sciences Shenyang Institute of Computing Technology Shenyang China

ISBN: (纸本)9798350352719

At present, the traditional low carbon scheduling method of thermal power unit thermal storage capacity realizes the scheduling of thermal storage capacity by establishing a thermal power coordination model. Due to the lack of analysis on the operation characteristics of thermal power units, the scheduling effect is poor and the carbon emission cost is high. Therefore, a low carbon scheduling method for thermal power unit storage capacity based on particle swarm optimization algorithm is proposed. The operation characteristics of thermal power unit are analyzed, and the pressure parameters, capacity level and fuel type of the unit are divided by the baseline. Different carbon emission allowances are allocated to the units, and the operation mechanism of the heat storage device is optimized. The low carbon scheduling model of thermal power unit thermal storage capacity is constructed and solved by using particle swarm optimization algorithm. The experimental analysis shows that the proposed low carbon scheduling method for thermal power units has good scheduling performance. © 2024 ieee.

关键词： Carbon capture and storage

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grid-Forming PV System for Frequency Ancillary Services Provision 3

Grid-Forming PV System for Frequency Ancillary Services Prov...

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3rd international conference on energy Transition in the Mediterranean Area, SyNeRGY MeD 2024

作者： Barac, Bojana Capuder, Tomislav Panteli, Mathaios University of Zagreb Faculty of Electrical Engineering and Computing Department of Energy and Power Systems Croatia University of Cyprus Department of Electrical and Computer Engineering Cyprus

ISBN: (纸本)9798350375923

With the increasing penetration of photovoltaic (PV) systems posing challenges to power system stability, this paper investigates the effectiveness of grid-forming controlled PV systems in providing frequency ancillary services. The study implements the Virtual Synchronous Machine strategy, utilizing DC-link capacitor energy for inertial response provision (DCVQVSM), integrated within a grid-forming topology. To ensure power-frequency droop control, an additional control loop is introduced within the DCVQ-VSM topology. The efficacy of this control system is proved through simulations conducted on a simple two-bus system and a fully-electrified active distribution network (ADN). Both case studies demonstrate the successful operation of grid-forming controlled PV systems, highlighting their capability to influence power system frequency dynamics. The analysis underscores the significance of deloading PV operation in facilitating flexibility services provision, thereby enhancing the reliability and resilience of system operation. © 2024 ieee.

关键词： Synchronous machinery

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Power System Cyber-Attack event Recognition Method Based on extreme Random Trees

Power System Cyber-Attack Event Recognition Method Based on ...

引用

2023 ieee international conference on Signal Processing, Communications and computing, ICSPCC 2023

作者： Zhao, Xichao Wei, Xingshen Sun, Zeji Zhou, Xiaoming Shen, Wei Zhou, Jian NARI Group Corporation State Grid Electric Power Research Institute Nanjing NARI Information Communication Technology Co Ltd Nanjing China State Grid Liaoning Electric Power Supply Co. Shenyang China

ISBN: (纸本)9798350316728

The establishment of a new intelligent control mode for the power system has improved the stability and economy of the power grid, but at the same time, the access of a large number of networked devices has also brought more cyber-attack threats to the power grid. Unlike the impact caused by natural events, the impact of cyber-attacks on the power grid is more persistent and covert, with greater destructive power. Therefore, operators urgently need to accurately identify the types of cyber-attacks suffered by the new power system and make targeted decisions. This article analyzes the public dataset of power grid attacks and proposes a power system anomaly detection model using extreme random tree method. The model has strong random exploration characteristics, making it highly adaptable to solving such problems. Validation experiments were conducted on public datasets, and compared with other machine learning methods, its classification accuracy is high, the false alarm rate is low, and more importantly, its generalization ability is excellent, which can ensure classification effectiveness in complex scenarios. © 2023 ieee.

关键词： Crime

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Time-Aware edge computing Method for High-Frequency Acquisition of Low-Voltage Distribution Substation Area 3

Time-Aware Edge Computing Method for High-Frequency Acquisit...

引用

3rd international conference on electrical engineering and Control science, IC2eCS 2023

作者： Song, Peng Zhang, Yongwang Lu, Tao Chen, Peng Yang, Zhicong Li, Qian Zhao, Binghui Guangdong Power Grid Co. Ltd. Metrology Center Guangdong China

ISBN: (纸本)9798350382426

With the digital transformation of the new power system, massive information collection devices are deployed in low-voltage substation area, leading to a proliferation of power business data. edge computing can sink computing and storage resources to realize distributed processing of data and relieve network transmission pressure. However, due to the limited computing resources of edge servers, massive data access will lead to competition for computing resources as well as communication resources, making it difficult to realize real-time processing of high-frequency collection data in the low-voltage distribution substation area. To solve the above problems, we propose an edge computing framework for the high-frequency collection of information in low-voltage distribution substation area based on delay awareness. Then, we formulate the optimization problem of minimizing the data transmission delay and edge server processing delay. An edge computing method based on mutual benefit game is proposed to solve the optimization problem. Simulation results show that the proposed algorithm has excellent performance in delay. © 2023 ieee.

关键词： delay-awareness edge computing high-frequency information acquisition Low-voltage distribution

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Prediction of Smart grid Stability Utilizing Machine Learning Algorithms 3

Prediction of Smart Grid Stability Utilizing Machine Learnin...

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3rd international Mobile, Intelligent, and Ubiquitous computing conference, MIUCC 2023

作者： Bayomi, Ghada Hamdy, Alaa Hasheem, Mohamed Ali, Ahmed.A. Misr International University Cairo Aast Arab Academy for Science Technology & Maritime Transport Egypt Helwan University Cairo Egypt

ISBN: (纸本)9798350306231

The smart grid encountered numerous issues when attempting to continually monitor participant usages, bidirectional data flow, and utility costs as a result of the rise in the use of renewable energy sources. Specialists must detect system failure before it occurs and ascertain whether the smart grid is stable in order to achieve a robust, dependable smart grid. Conventionally in a smart grid, data on consumer demand is gathered and centrally evaluated against current supply conditions where consumers are then given the resulting recommended pricing information so they can decide how much to use. Because the entire traditional process is time-sensitive, dynamically evaluating grid stability becomes not only a concern but also an absolute necessity. Power supply and demand need to be balanced in order to maintain grid stability. Thus, machine learning might significantly aid in classifying whether or not the smart grid is stable by applying contemporary data mining approaches. In this research, different machine learning algorithms will be applied to assess and predict grid stability. The algorithms used in this paper are XG-classifier, Random Forest, Neural Network, KNN, SVM. The experiment results show that the XG-classifier achieved the highest performance yielding Classification accuracy, AUC, F1 and Recall of 97.79%, 96.7%, 95.6%, 95.4%, 94.5% respectively. © 2023 ieee.

关键词： Smart power grids

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