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Oblivious Robots Performing Different Tasks on grid Without Knowing Their Team Members 9

Oblivious Robots Performing Different Tasks on Grid Without ...

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9th international conference on Automation, Robotics and Applications, ICARA 2023

作者： Ghosh, Satakshi Sharma, Avisek Goswami, Pritam Sau, Buddhadeb Jadavpur University Department of Mathematics Kolkata India

ISBN: (纸本)9781665489218

Two fundamental problems of distributed computing are Gathering and Arbitrary pattern formation (APF). These two tasks are different in nature as in gathering robots meet at a point but in Apfrobots form a fixed pattern in distinct positions. In most of the current literature on swarm robot algorithms, it is assumed that all robots in the system perform one single task together. Two teams of oblivious robots deployed in the same system and different teams of robots performing two different works simultaneously where no robot knows the team of another robot is a new concept in the literature introduced by Bhagat et al. [ICDCN'2020]. In this work, a swarm of silent and oblivious robots are deployed on an infinite grid under an asynchronous scheduler. The robots do not have access to any global coordinates. Some of the robots are given input of an arbitrary but unique pattern. The set of robots with the given pattern is assigned the task of forming the given pattern on the grid. The remaining robots are assigned with the task of gathering to a vertex of the grid (not fixed from earlier and not any point where a robot that is forming a pattern terminates). Each robot knows to which team it belongs, but can not recognize the team of another robot. Considering weak multiplicity detection, a distributed algorithm is presented in this paper which leads the robots with the input pattern into forming it and other robots into gathering on a vertex of the grid on which no other robot forming the pattern, terminates. © 2023 IEEE.

关键词： Robots

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An FDI Resilient Dynamic Average distributed Control for DC Microgrids

An FDI Resilient Dynamic Average Distributed Control for DC ...

引用

2023 IEEE international conference on Power Electronics, Smart grid, and Renewable Energy, PESGRE 2023

作者： Tadepalli, Phani Swecha Pullaguram, Deepak Alam, M.N. National Institute of Technology Warangal Department of Electrical Engineering Telangana 506004 India Indian Institute of Technology Department of Electrical Engineering West Bengal Kharagpur721302 India

ISBN: (纸本)9798350310573

The distributed control DC microgrids with integrated communication technologies form cyber-physical systems. Cyber-physical DC microgrids rely on peer-to-peer (P2P) communication to regulate average voltage and share proportional power. These P2P communications have greater exposure and increase the possibility of cyber intrusions. This paper aims to develop a cyber-resilient dynamic average consensus control for an autonomous DC microgrid. The proposed dynamic average resilient controller is designed to accurately track the DC microgrid network average voltage despite false data injections (FDI) attacks and also restores average voltage to nominal value while ensuring proportional current sharing. The proposed approach eliminates the need for full network connectivity and without any restrictions on the number of agents attacked. The convergence studies are carried out using input-to-state stability analysis. Further, the simulation results validate the proposed controllers efficacy against actuator and communication layer FDI attacks. © 2023 IEEE.

关键词： Cyber-attacks Cyber-Physical Systems DC Microgrids distributed control Dynamic-average consensus Consensus False data injection Resilience

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Consistent sensing algorithm for distributed PV station area line loss anomaly fluctuation based on spectral clustering 8

Consistent sensing algorithm for distributed PV station area...

引用

8th international conference on Intelligent computing and Signal Processing, ICSP 2023

作者： Li, Junmin Lan, Guofeng Zhao, Wen Ma, Chenxiang Liu, Yongqiang State Grid Shanxi Electric Power Company Lvliang Power Supply Company Shanxi Lvliang033000 China

ISBN: (纸本)9798350302455

The current conventional line loss anomaly sensing algorithm mainly realizes line loss anomaly sensing by calculating the station area line loss rate and comparing it with the set threshold value, which leads to poor sensing effect due to the lack of clustering analysis of line loss characteristics. In this regard, a consistent sensing algorithm based on spectral clustering of line loss abnormal fluctuations in distributed PV station areas is proposed. The line loss data is assimilated with time granularity and data cleaning, and combined with the spectral clustering algorithm to cluster the line loss abnormal data features and set the highest threshold of the Euclidean distance of the line loss rate to realize the line loss abnormal sensing. In the experiments, the proposed method is verified for the sensing effect. The experimental results show that when the proposed method is used to sense line loss data, the algorithm can accurately sense different types of line loss data and has a more desirable sensing performance. © 2023 IEEE.

关键词： Clustering analysis Consistency perception Line loss anomaly fluctuation Spectral clustering algorithm

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Common-Ground Double Gain Five Level Inverter for distributed Energy Resources

Common-Ground Double Gain Five Level Inverter for Distribute...

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2023 IEEE international conference on Power Electronics, Smart grid, and Renewable Energy, PESGRE 2023

作者： Patil, Uday T. Waware, Madhukar Mohale, Vijay Shivaji University Electrical Enginneering Department. Kolhapur India Sanjay Ghodawat University Electrical Engineering Department Kolhapur India University Grants Commission New Delhi India Walchand College of Engineering Electrical Engineering Department Sangli India

ISBN: (纸本)9798350310573

A common-ground transformer-less five-level (5L) inverter topology is presented in this research with a voltage-boosting ability of four times compared to the typical neutral point clamped multi-level inverter topologies for single and three-phase distributed energy resources. The proposed topology depends on flying capacitor operation and requires ten active power semiconductor switches and two flying capacitor units per leg. A simple level-shifted sinusoidal pulse width modulation strategy is employed to self-balance the flying capacitors, while also mitigating the output current ripples and lowering the filter rating. The merits of the proposed five-level inverter topology are: (i) no leakage current in the industrial system due to the common ground operation;(ii) the input DC link voltage requirement is half of the grid voltage peak, whereas the neutral point is clamped;and (iii) the capability of reactive power compensation. The principles of operation, modulation techniques, and steady-state analyses for the proposed inverter topology are discussed. The proposed inverter topology is validated through both the MATLAB/Simulink and PSIM platforms. To analyze the effectiveness of the proposed inverter architecture, loss distribution, current and voltage stress across the switches, and efficiency of the inverter topology are provided. © 2023 IEEE.

关键词： and voltage source inverter boost inverter distributed energy resources Multilevel inverter topologies transformer less inverter circuit

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Configuration Automatic Tuning for distributed Message Systems by Exploiting Historical Knowledge 11

Configuration Automatic Tuning for Distributed Message Syste...

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11th international conference on Information Systems and computing Technology, ISCTech 2023

作者： Zhang, Chen Gao, Ruohan Wang, Hongkai Li, Heran Rao, Hanyu State Grid Zhejiang Electric Power Co. Ltd Information & Telecommunication Branch Hangzhou China Nari Technology CO. Ltd Information System Integration Branch Nanjing China

ISBN: (纸本)9798350342406

Currently, distributed message systems (DMSs) are widely used in large-scale systems to assist system functionality and continuously bring performance benefits. Usually, the performance of a DMS system is highly dependent on its parameter configuration. However, due to its hundreds of parameters far beyond manual labor, default configurations are usually adopted, resulting in poor performance. The previous DMS configuration tuning proposals suffer from long tuning times due to the huge search space. To address this issue, this paper proposes an efficient DMS configuration automatic tuning scheme named DCT-HK, that can achieve tuning goals within a limited time budget. The key design is to leverage the historical tuning knowledge to reduce search space, thereby the time cost to find the optimal configuration can be significantly reduced. The experimental results validate the effectiveness of DCT-HK. Under the same tuning time budget, our scheme achieves better tuning performance than baseline methods. © 2023 IEEE.

关键词： Large scale systems

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An Advanced IoT Based Edge computing Forecasting Framework 2nd

An Advanced IoT Based Edge Computing Forecasting Framework

引用

conference Proceedings of 2022 2nd international Joint conference on Energy, Electrical and Power Engineering

作者： Suo, Zhixin Lu, Youfei Hong, Huijun Zou, Shirong Song, Jiajun Lu, Hui Wang, Jiayan Zhang, Yu Guangzhou Power Supply Bureau China Southern Power Grid Guangdong China

ISBN: (纸本)9789819943333

There are a lot of spatiotemporal data in the power grid, such as planning operation and maintenance data, operation data, management data and power data, etc. These data are often massive in volume. They constitute the impression of the real world in the virtual digital world, which contains a lot of wealth. However, the emergence of massive data in the power grid brings both opportunities and many challenges to the industry, one of which is the problem of computing power in the data analysis of the power grid. Due to the large volume of data, multimodality and heterogeneity, etc., it causes a huge computational load. Therefore, using distributed computing, heterogeneous computing and other technologies to accelerate the high-performance deployment of power grid big data analysis and applications has excellent practical application value and theoretical research value. According to the industrialization and informatization needs of modern power IoT, synergize the advantages of the cyber physical system (CPS) and power IoT, and establish an analysis and calculation engine based on CPS. This paper revolves around the four processes of CPS, namely status perception, real-time analysis, scientific decision-making and accurate implementation. An analysis and calculation engine based on the CPS system is developed around the terminal, information system and service platform of the power IoT. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Engines

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An efficient and privacy-preserving energy trading mechanism of peer-To-peer with MA-ABE and blockchain 3

An efficient and privacy-preserving energy trading mechanism...

引用

3rd international conference on Electronic Information Engineering and Computer, EIECT 2023

作者： Cao, Panan Qiu, Wangjie Li, Chunpei Li, Jinzhong Beihang University Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing China State Grid Anhui Electric Power Research Institute State Grid Corporation of China Hefei China

ISBN: (纸本)9798350357707

For the peer-To-peer energy transaction trend, we propose an efficient and privacy-preserving access control scheme for transaction data. It is a distributed energy transaction matching method based on blockchain and ABE, which utilizes the access control features of ABE so that, unless the transaction is disputed, the seller and buyer can autonomously perform peer-To-peer matching through the access structure without relying on the help of other third-party nodes or centralized institutions. Meanwhile, with the user as the link, key generation is performed by multiple parties, including the user, attribute center and CA, and the multi-party key generation algorithm is embedded into the whole ABE algorithm process, which as a whole performs the attribution of security challenges. Partial access structure pre-encryption is supported in the process of transaction request encryption, and the encryption operation is divided into two phases of pre-encryption and encryption to deal with, which improves the overhead problem of transaction request sharing. © 2023 IEEE.

关键词： Access control

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Sixth international conference on Intelligent computing, Communication, and Devices, ICCD 2023

Sixth International Conference on Intelligent Computing, Com...

引用

6th international conference on Intelligent computing, Communication, and Devices, ICCD 2023

ISBN: (纸本)9781510666252

The proceedings contain 106 papers. The topics discussed include: simulation of apron taxiway layout pattern in the new terminal area of Nanning airport;joint source-channel coding based on polar code;lithium battery transport test analysis and equipment optimization exploration;scenario based intelligent desensitization and dynamic access control technology for power distribution and distributed new energy data resources;research and implementation of a traceability algorithm for electric distribution data resources considering distributed new energy;research and implementation of key technologies for electric distribution data analysis;research on the influence of artificial intelligence technology based on big data analysis on modern art creation;research and implementation of grid based on electric distribution network composite evaluation method;application status and development of artificial intelligence technology in large data center;and research on protection monitoring and early warning technology of power time synchronization system.

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A Cross Spatial Risk Model for Energy Internet Based on Machine Learning Algorithms

A Cross Spatial Risk Model for Energy Internet Based on Mach...

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2023 international conference on Internet of Things, Robotics and distributed computing, ICIRDC 2023

作者： Wang, Shengwei Liu, Wen Zhang, Yujie Li, Xiang Liao, Rongtao Information & Communication Branch of Hubei epc. Hubei Wuhan430000 China State Grid Hubei Electric Power Co. Ltd. Hubei Wuhan430000 China

ISBN: (纸本)9798350375275

This article aims to study the problem of risk identification and assessment in the energy internet, using Machine learning (ML) based methods to construct a risk identification and assessment model, and verifying its accuracy and efficiency through experiments. The results show that the model has a high accuracy in the three risk categories of equipment failure, network security, and data security, reaching over 90%. The accuracy rates for natural disasters and technological risks are relatively low, at around 80% and 75%, respectively. And it has a shorter prediction time when predicting the risk labels of new data. Compared with traditional risk assessment methods, the risk identification and assessment model based on ML algorithms has higher accuracy and efficiency. Based on these experimental results, it can be concluded that the risk identification and assessment model constructed in this article can effectively identify various risk factors in the energy internet, and has the ability to quickly respond to risk events in practical applications. It provides useful reference and support for risk prevention and control of energy internet, and provides direction and improvement ideas for subsequent research. © 2023 IEEE.

关键词： Internet of Energy

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Investigation of Renewable Energy Integration Challenges and Condition Monitoring Using Optimized Tree in Three Phase grid System 7

Investigation of Renewable Energy Integration Challenges and...

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7th international conference on computing Methodologies and Communication, ICCMC 2023

作者： Shah, Naila Haque, Ahteshamul Amir, Mohammad Kumar, Anil Advanced Power Electronics Research Lab Dept. of Electrical Engineering Jamia Millia Islamia India Government of India India

ISBN: (纸本)9781665464086

The stochastic nature of distributed renewable energy resources (DREs) poses many operational and technical challenges in integrating renewable energy resources. Voltage instability is one of the challenges due to integration of renewable energy resources in which the supply is less than the demand of energy at the distribution side. The major challenge associated with integration of renewable energy resources is the islanding scenario which needs to be addressed. In this paper, an efficient and accurate machine-learning algorithm is developed for the islanding detection and classification process. For this purpose, simulation and compilation perform on a 12kW grid-connected photovoltaic (PV) model in Typhoon Hardware-in-Loop (HIL) simulator in which data is extracted for low voltage ride through (LVRT) grid fault. Furthermore, this data is trained with the proposed machine-learning algorithm for the islanding classification mechanism. The proposed Optimizable Decision Tree (O-DT) technique has a training accuracy of 99.7% and can efficiently predict islanding classification with a speedof about 14000obs/sec. © 2023 IEEE.

关键词： Decision trees

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