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19th international conference on Advanced Intelligent computing Technology and applications (ICIC)

作者： Lin, Chenxiang Zheng, Zhou Cai, Shitao Fu, Li Xie, Wei Ma, Teng Zhang, Zhihong State Grid Fujian Elect Power Res Inst Fuzhou Peoples R China Xiamen Univ Sch Informat Xiamen 361005 Peoples R China

ISBN: (纸本)9789819947515;9789819947522

The safe and stable operation of power systems relies on the timely diagnosis of defects in power grid equipment. To achieve this, knowledge graph (KG) can be used to model power grid equipment defect knowledge, and knowledge graph embedding (KGE) can be utilized to embed KG into low dimensional vector spaces for deep learning models. However, pre-trained language model-based KGE methods may not perform as well as structure-based methods due to their limitations in explicitly representing domain-specific knowledge and supplementary information about entities. In this study, a hybrid KGE model called PLMSM was proposed to address this issue. PLMSM combines pre-trained language models with structure-based models to input entities and their supplementary information into a pre-trained language model to obtain their embeddings, which are then combined with the embeddings generated by a structure-based model for entity completion tasks. The model was optimized through efficient negative sampling and addressed the issue of inaccurate predictions caused by long-tail entities in the power grid defects KG. The experimental results showed that PLMSM achieved good performance in Entity completion tasks on the power grid equipment defects KG. This proposed model has potential applications in power grid equipment defect diagnosis and maintenance.

关键词： Knowledge Graph Pre-trained language models Entity completion

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An Equivalent Modeling Method for Modular DC Energy Dissipation Device 4

An Equivalent Modeling Method for Modular DC Energy Dissipat...

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4th IEEE international conference on Power, Electronics and Computer applications, ICPECA 2024

作者： Xue, Yinglin Li, Ming Wang, Yingxin Hvdc Technology Consulting Center State Grid Economic and Technological Research Institute Co. Ltd Beijing China

ISBN: (纸本)9798350359589

The complex simulation calculation process and slow solving speed are important factors that constrain the development of modular multi-level device simulation modeling. In this paper, the equivalent modeling of modular DC energy dissipation devices is analyzed, and a simplified modeling method based on the Thevenin equivalent is proposed. The proposed method equates the modular DC energy dissipation device bridge arm to a Thevenin equivalent circuit, which can accurately simulate the equivalent circuit of the locked bridge arm while significantly reducing the number of computing network nodes. The established mathematical model has been verified through the Rudong HVDC project simulation model. © 2024 IEEE.

关键词： energy dissipation devices modular multilevel devices simplified modeling method

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A Non-Iterative Fault Location Algorithm for Transposed/Untransposed Transmission Line Immune to Unsynchronized Measurements

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IEEE TRANSACTIONS ON INDUSTRY applications 2023年第1期59卷 422-433页

作者： Kalita, Kaustav Anand, Shubham Parida, S. K. Power Grid Corp India Ltd Gurgaon 122001 India Indian Inst Technol Dept Elect Engn Patna 801106 India

This paper presents an impedance-based non-iterative fault location algorithm for a two-terminal line considering unsynchronized measurements to account for the loss of Global Positioning System (GPS) signal. Based on the availability of pre-fault signals two algorithms are proposed, one using pre-fault data and the other without using pre-fault data. The algorithms are formulated by using fundamental frequency phasor based decoupled modal components of the measured signals at both ends of the line while considering distributed line model. Application of decoupled modal components with distributed model enhances the accuracy of the presented algorithms in both transposed and untransposed configuration of the line. The proposed algorithms have been tested and analyzed with different fault conditions simulated in EMTP-RV platform. Comparative analysis with existing methods is also presented to establish prominent features of the proposed methods. The algorithms have also been tested with practical data of Power grid Corporation of India Limited (PGCIL) and the test result validates the accuracy of the developed fault location algorithms.

关键词： Fault location Transmission line measurements Impedance Circuit faults Global Positioning System Synchronization Power transmission lines modal component and unsynchronized measurements two-terminal line untransposed line

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A Review on the applications of Blockchain-Based Smart Contracts in the Smart grid 4

A Review on the Applications of Blockchain-Based Smart Contr...

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4th international conference on Smart grid and Renewable Energy, SGRE 2024

作者： Saleh, Mohammad Alshaikh Khatri, Sunil P. Ghrayeb, Ali Refaat, Shady S. Texas A&M University Department of Electrical and Computer Engineering College Station United States Texas A&M University at Qatar Department of Electrical and Computer Engineering Doha Qatar University of Hertfordshire School of Physics Engineering and Computer Science United Kingdom

ISBN: (纸本)9798350306262

Investigations in industrial and computational research emphasize the progress of blockchain-enabled smart contracts due to their resilient features, which include decen-tralised transaction storage, autonomous contract regulation enforcement, and distributed trust creation. Blockchain-powered smart contracts can transform operational frameworks in various sectors aiming for superior service delivery. The advantages this technology brings involve a multitude of applications that span industries as cryptocurrencies, logistics systems, agricultural practices, real estate operations, and energy trading among others. Notably though one crucial emerging application is within smart grids (SG). The decentralization aspect of blockchain is one of the most significant leaps in computing for smart grids. The application of blockchain aligns with the vision of having a decentralized electric grid by distributing renewable energy sources. Therefore, numerous efforts are being conducted to examine the prospects for the relevance of smart contracts and blockchain to the smart grid system. To this end, this paper aims to review the essential elements of blockchain-based smart contracts to emphasize their current capabilities for enhancing the transition to a decentralized smart grid with proposals on future research directions. © 2024 IEEE.

关键词： Smart contract

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Java Bali grid Mean Time To Failure Prediction using Machine Learning 1

Java Bali Grid Mean Time To Failure Prediction using Machine...

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1st international conference on Technology, Engineering, and computing applications, ICTECA 2023

作者： Sesotyo, Priyo Adi Pandjaitan, M.M. Lanny W. Lukas Universitas Katolik Indonesia Atma Jaya Professional Engineer Study Program Faculty of Engineering Jakarta12930 Indonesia Universitas Semarang Electrical Engineering Dept. Semarang50196 Indonesia Universitas Katolik Indonesia Atma Jaya Electrical Engineering Master Program Jakarta12930 Indonesia Jakarta12930 Indonesia

ISBN: (纸本)9798350360554

The role of Mean Time To Failure (MTTF) is critical to maintain cost-efficient in smart grids, as the predictive maintenance means for ensuring their reliability. Java Bali grid is the most important power network in Indonesia, because it holds 75% energy sales and the foundation of the Indonesian government, business and industrial sectors. One method for prediction in the machine learning is the Linear Regression, as part of the Supervised Learning technique. The regression model extracts the grid overload variable from MV distribution system, where connected load (MVA) divided by the number of MV customers. The model constructs the Linear Regression function, where the slope and intercept values found from the correlation between predicted response and actual response. After confronting the function f(x) and the coefficient of determination (R2), the test results for the MTTF prediction values for Java-Bali's region shows the higher accuracy when the R2 shows highest value. © 2023 IEEE.

关键词： Forecasting

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Enabling Technologies for Near Zero Power Renewable Energy Communities model to increase RES penetration and support the Electrical Power System

Enabling Technologies for Near Zero Power Renewable Energy C...

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international conference on Smart Energy Systems and Technologies (SEST) - Driving the Advances for Future Electrification

作者： Barone, Giuseppe Brusco, Giovanni Menniti, Daniele Pinnarelli, Anna Sorrentino, Nicola Spena, Giampiero Vizza, Paquale Creta Energie Speciali Srl Arcavacata Di Rende CS Italy Univ Calabria Dept Mech Energy & Management Engn Arcavacata Di Rende CS Italy

ISBN: (纸本)9798350386509;9798350386493

In the context of the transition towards a more sustainable energy system, Renewable Energy Communities (RECs) are emerging in Italy as a possible solution to increase the penetration of Renewable Energy Sources (RES) within national power system. However, in the actual configuration, converters that interface generation systems from RES to the grid are not able to provide frequency regulation support. Leveraging innovative technologies within the REC, such as the DC-nanogrids (nGs) with integrated storage systems and interfaced with grid forming converters to the grid, it is possible to support the regulation of the electric power system (EPS) frequency. Using these technologies, it is also possible to ensure continuously the power balance between RES generation and load within the REC and, therefore, maximize the "shared energy" and the benefit to its members. Then such a REC can be considered a Near Zero Power Renewable Energy Community (NZPREC). By means of NZPREC, it is then possible to fully reach the objective of the introduction of the RECs into the Italian regulatory framework also in terms of support to the EPS. In the paper, a control model for the DC/AC converters that interface the nG to the EPS is presented, in which the principles of Load Frequency Control (LFC) are introduced to ensure frequency regulation, inertial support and load following. Specifically, the concept of Area Control Error is used to restore the frequency to its nominal value and to track the active power reference value. A simple REC, working as a NZPREC, based on the use of nGs is simulated using the Ansys-Twin Builder (R) environment. The simulation results point out that the proposed control can enable a nG to contribute to EPS frequency regulation, while also maintaining power balance within the REC.

关键词： REC grid forming grid following frequency control

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Hybrid Renewable Energy Storage Systems for Power Quality Improvement Using Mayfly Optimization Technique 2

Hybrid Renewable Energy Storage Systems for Power Quality Im...

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2nd IEEE international conference on Distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Kumar, Avneesh Singh, Sachin Galgotias University Department of Computer Applications Greater Noida India Greater Noida India

ISBN: (纸本)9798350347456

The purpose of this research would be to dynamically assess the efficacy of interconnection networks using a range of important measures. The goal of this study was to provide recommendations for enhancing electricity transmission throughout the electrical grid. Connectivity between the wind farm and the grid is complete. The methods used in this research are grid-interlinked DFIG Dynamic State Estimation, Optimal Substation Size and Location, and 3C's Aware Wind Turbine Aggregation. Land form, wind speed, wind direction, and weather characteristics - which describe the weather at a particular time - are examples of environmental features. The wind turbines are grouped by combining the K Nearest Neighbor method and the Density-Based Spatial Clustering of applications with Noise (also known as KNN-DBSCAN), which facilitates effective aggregation of wind *** variation is caused by the power imbalance between the grid and the installed wind turbines. The Phasor Measurement Unit (PMU), which is in charge of the system's overall observability, is likewise housed in the substation. So, attaining reliability inside the grid-connected wind farms relies heavily on deciding on the scope and placement of substations. The bio-inspired meta-heuristic optimisation algorithm Mayfly Optimization Technique (MOA) is used for this purpose. To accomplish the dynamic state estimate, the transmitter level power and grid characteristics are predicted. The quality of power generated by a wind power system linked to the grid is evaluated using dynamic state estimation. Power characteristics such pitch angle, wind speed, voltage variation, notching, harmonics, frequency variation, noise, and terminal voltages were forecasted using the Dueling Deep Q Network. The grid's short circuit impedance, inertia level, and X/R ratio are assessed using the Unscented Kalman Filter - Eigen analysis. © 2023 IEEE.

关键词： Power quality

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Survey of the Application of Privacy computing Technology in the Electric-power Industry 6

Survey of the Application of Privacy Computing Technology in...

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6th IEEE international conference on Electronics and Communication Engineering, ICECE 2023

作者： Sun, Junfang Gou, Xiaokan State Grid Qinghai Information & Telecommunication Company Xining China State Grid Qinghai Electric Power Company Xining China

ISBN: (纸本)9798350328721

With the advent of the Internet and big data era, the value of data is becoming increasingly significant and plays an increasingly important role in various fields. However, it also brings various problems, including data privacy and security. The power industry has collected and stored massive amounts of electricity data. It is particularly urgent to solve the contradiction between the security privacy protection and data sharing of these power big data, and realize the goal that the original data will not be exported, but the data "value"and "knowledge"will be exported. This paper sort out the application of privacy computing technology in the power industry through domestic and foreign literature surveys. This paper analyzes in detail how Secure multi-party computation, Federated learning, Trusted execution environment and other privacy computing technologies can solve the problem of sensitive data and privacy data protection in data sharing in the power industry. On this basis, a privacy protection framework suitable for the power industry based on privacy computing technology is proposed. Then, the impact of privacy computing technology on the power industry was summarized, as well as some challenges that may be encountered during implementation. At the end of the article, potential research directions and technological applications were pointed out, hoping to promote the development of privacy protection in the power industry. © 2023 IEEE.

关键词： Sensitive data

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Performance Analysis and Measurement of Geospatial Fog-Cloud computing System for Data Storage, Visualizations and Analysis 1

Performance Analysis and Measurement of Geospatial Fog-Cloud...

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1st international conference on Cognitive, Green and Ubiquitous computing, IC-CGU 2024

作者： Goswami, Veena Kandpal, Meenakshi Behera, Satyaban Qurashi, Shahazad N. Mund, G.B. Barik, Rabindra K. School of Computer Applications KIIT Deemed to be University Bhubaneshwar India OUTR Department of CSE Bhubaneshwar India School of IST GM University Sambalpur India Jazan University Kingdom of Saudi Arabia Department of Health Informatics College of PHTM Saudi Arabia

ISBN: (纸本)9798350361780

Geospatial Cloud and fog computing have experienced significant growth due to advanced Information and Communication Technology (ICT) that enables geospatial web services. These technologies are known for their robust computing infrastructure, which supports various services for smart city, smart health, smart grid, and smart transportation. To meet Quality of Service (QoS) needs, distributed computing technologies like geospatial cloud and fog computing are used together to provide more specific degrees of granularity. Lately, researchers have been investigating the use of fog in geospatial cloud systems to enhance the efficiency of data storage, visualizations and analysis. This research paper enhances the performance of a Geospatial Fog-Cloud system by doing a thorough investigation and evaluation of the performance of models used for data storage, visualizations and analysis. This work provides a compre-hensive system model and utilizes suitable M / M /1 queueing with balking models to analyze the performance. The effectiveness of the proposed analytical queueing model is demonstrated by simulation experiments conducted using MAPLE 18 tool. These tests analyse multiple scenarios and assess the average number of requests in the system, as well as the projected cycle time that a request spends in the system for different parameters. © 2024 IEEE.

关键词： Fog computing

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Sensitive Floral Exploring Fractal Tree Data Structures with grid Computation in Real-Time Generative Graphical System for Mimic the Reactive Characteristics of Mimosa Pudica 11

Sensitive Floral Exploring Fractal Tree Data Structures with...

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11th international conference on Digital and Interactive Arts (ARTECH) - Digital Creation Processes

作者： Huang, Scottie Chih-Chieh Natl Tsing Hua Univ BioLogicDesign Grp Hsinchu Taiwan

ISBN: (纸本)9798400708725

"Sensetive Floral" is an interactive, generative artwork that ventures into the exploration of a unique generative system, biomimetically emulating the reactive behaviors of the Mimosa pudica plant. By synthesizing the complexity of fractal tree data structures with the Cellular Automata (CA) mechanisms of grid computations, the artwork elegantly mirrors nature's adaptive and responsive traits. This approach unveils the potential of generative design, harnessing coding rules and geometric relationships within parameters to shape biomimetic aesthetics. The interactive interface allows users to initiate a ripple of movement by simply touching the screen, triggering a cascade of changes across thousands of leaves, akin to the group leaf movements observed in Mimosa pudica. This subtle yet intricate dance of digital flora not only reflects the beauty of natural phenomena but also opens further opportunities for expression in shape and movement behavior, promising a vast array of applications in the field of tech-art and human-computer interaction.

关键词： Generative Design Artificial Life Art Cellular Automata grid computing Fractal Tree

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