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IEEE international conference on Software Analysis, Evolution and Reengineering - Companion (SANER-C)

作者： Iudean, Bogdan Babes Bolyai Univ Dept Comp Sci Cluj Napoca Romania

ISBN: (纸本)9798350351583;9798350351576

Multi-core processors, cloud computing, and distributed applications now define the landscape of modern software development and research. Efficiently teaching multithreading concepts is vital to equip students for real-world industry challenges. Navigating the complexities of multithreading proves challenging for students due to the high level of abstraction and difficulty associated with these concepts. The complexity of these technological fields raises the necessity for a comprehensive educational approach that facilitates students to understand the multithreading functionalities and usages with ease. This experience paper details our teaching approach, utilizing narrative-driven methods in parallel and distributed programming laboratories. We emphasize the relevance, novelty, and benefits of integrating interactive storytelling into the tangled learning process of parallel and distributed programming concepts. Concurrency, parallelization, and workload distribution are explained through live narrations, accompanied by animated presentations following a procedural storyline that spans laboratories. Complex ideas are transformed into meaningful character interactions, like stone-age people training octopuses to make ice-cream concurrently. This unique approach aims not only to enhance comprehension but also to make learning a vibrant and memorable experience for students, bridging the gap between theory and practical application. Our report extracts valuable lessons from student activities, emphasizing the motivational impact of engaging narratives. Students reflect on the relevance of concepts, shifting focus from implementation to understanding. Beyond just facilitating and easier access to knowledge, our approach aims to raise a deeper appreciation for the intricate world of parallel and distributed programming domain by encouraging students to see beyond the technical depth.

关键词： narrative-driven teaching parallel and distributed programming multithreading concepts interactive storytelling educational innovation

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Microgrid System with Event Triggered distributed Secondary Control 4

Microgrid System with Event Triggered Distributed Secondary ...

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4th international conference on Advances in Electrical, computing, Communication and Sustainable Technologies, ICAECT 2024

作者： Rao, B. Chiranjeev Ralhan, Shimpy Shri Shankaracharya Technical Campus Department of Electrical Engineering Bhilai India Shri Shankaracharya Technical Campus Department of Electrical and Electronics Engineering Bhilai India

ISBN: (纸本)9798350343670

With ever increasing demand in power, there is a paradigm shift from integrated grids to microgrids to cater small communities or islands. Microgrids are the need of the hour as it is comprises of distributed generation, power converters, telecommunication and loads that are operated in an isolated network where they could be operated in island mode or by integrating to centralized grid. This paper presents a comprehensive analysis, and performance assessment of microgrid system with event triggered distributed secondary control. The mainfocus of this work is to study different problem associated with microgrids (MGs) and to minimize it by using event-triggered *** types of optimization technique and algorithm using event-triggered mechanism are discussed in details. Different event-triggered distributed model control scheme has been studied in this paper. © 2024 IEEE.

关键词： distributed generators (DGs) distributed secondary control event-triggered control Microgrid

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Comprehensive Benefit Analysis on the Means of Energy Storage Access Aiming at grid Security and RES Penetration 3

Comprehensive Benefit Analysis on the Means of Energy Storag...

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3rd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2024

作者： Ye, Yingjin Lin, Hongyang Zeng, Zhensong Wu, Qifan State Grid Economic And Technological Research Institute Fujian China State Grid Electric Power Research Institute Fujian China

ISBN: (纸本)9798350318609

As the renewable energy penetration rising at recording high globally, side effects of renewable energy sources (RES) are also increasingly significant, one of which is the uncertain power generation that could not be scheduled on time. To consume the uncertainty brought by RES, energy storage has been put on the top of list. There are several modes for energy storage equipment involvement, including thermal units & energy storage, RES units & energy storage, individual energy storage and so on, while the comprehensive benefits of the various means of cooperation modes remains unclear. This paper thus establishes a benefit analysis framework for energy storage aiming at grid security and RES generation. The benefits of energy sources, grid and energy storage are modeled, while the benefit of demand side is considered stationary. The optimization model is then linearized so that it could be efficiently solved. © 2024 IEEE.

关键词： Renewable energy

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Resiliency Measurement Framework for distributed Energy Resource Integrated Distribution Networks

Resiliency Measurement Framework for Distributed Energy Reso...

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2024 international conference on Advances in computing, Communication, Electrical, and Smart Systems, iCACCESS 2024

作者： Kuriakose, Eldho Aziz, Asma Qays, Md Ohirul Hossain, Md. Liton Hasan, Rasedul Sohan, Moshiur Rahman School of Engineering Edith Cowan University JoondalupWA6027 Australia University of Liberal Arts Bangladesh Department of Electrical and Electronic Engineering Dhaka1207 Bangladesh Aurecon Australasia North SydneyNSW2060 Australia

ISBN: (纸本)9798350350289

External and internal disruptions into power system stability motivates to research on a qualified grid resilience system. With this, indispensability of electricity infrastructure emphasizes the critical need for power system resilience in facing interruptions, especially extreme incidents e.g. natural disasters, deliberate attacks etc. Thus, this study concentrates on distribution networks, emphasizing the effect of natural disasters and integration of distributed energy resources to the grid. It offers a contemporary overview of grid resilience, introducing an advanced framework to assess distribution network resilience and analyse relevant terminologies. An adaptable grid resiliency framework derived from a meticulous examination of existing metric structures is presented in this study. PSCAD software is further utilized to present the real-world grid system analysis. The proposed model is, additionally, assessed by applying into an IEEE 9 bus test system to elucidate its potential impacts and feasible solution. The designed circuit demonstrate the recovery of faulty bus from potential blackout conditions with the help of integration of renewable energy sources. © 2024 IEEE.

关键词： Electric power distribution

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Supercapacitor Based STATCOM for Enhancing Power Quality in grid-Connected Photovoltaic Systems 8

Supercapacitor Based STATCOM for Enhancing Power Quality in ...

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8th IEEE international conference on distributed computing, VLSI, Electrical Circuits and Robotics, DISCOVER 2024

作者： Padole, Nivedita S. Kadu, Akshay D. Tendolkar, Vaishali D. Yeshwantrao Chavan College of Engineering Department of Electrical Engineering Nagpur India Datta Meghe College of Nursing Nagpur India

ISBN: (纸本)9798350350593

This paper presents an analysis of a Supercapacitor-Based Feedforward Control Static Synchronous Compensator (STATCOM) designed to enhance power quality in grid-connected photovoltaic (PV) systems. The study emphasizes on employing the Feedforward Management technique for STATCOM operation in order to reduce harmonics and regulate reactive power in electrical transmission systems. By using instantaneous system current values for feedback control the Feedforward Control methodology confirms a prompt and accurate reaction, in contrast to the more straightforward but less responsive indirect control approaches. The proposed STATCOM and its controller were simulated using MATLAB/SIMULINK. The results confirm that the Feedforward Control technique is a useful technique for reducing total harmonic distortion (THD) and increasing power quality. © 2024 IEEE.

关键词： Feedback control

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Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuum

Dynamic Adaptation of Urgent Applications in the Edge-to-Clo...

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29th international conference on parallel and distributed computing (Euro-Par)

作者： Balouek, Daniel Coullon, Helene INRIA IMT Atlantique LS2N UMR CNRS 6004 F-44307 Nantes France

ISBN: (纸本)9783031506833;9783031506840

The integration of Urgent computing is essential in order to adhere to stringent time and quality constraints of emerging distributed applications, hence facilitating efficient decision-making processes in numerous fields. Adaptation of such applications to produce outcomes within the desired confidence range and defined time interval can be of great benefit, especially in distributed and heterogeneous execution contexts. This study provides a justification for the necessity of dynamic adaptation in applications that are time-sensitive. Furthermore, we present our viewpoint on time-sensitive applications and undertake a thorough analysis of the underlying principles and challenges that need to be resolved in order to accomplish this goal. This research aims to provide a comparative analysis of our suggested vision for adaptation in contrast to the existing literature. We provide a comprehensive explanation of the architectural framework that we plan to construct, and conclude with discussing some on-going challenges.

关键词： Urgent computing computing Continuum Dynamic Adaptation Decentralized System

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Scaling Expected Force: Efficient Identification of Key Nodes in Network-Based Epidemic Models 32

Scaling Expected Force: Efficient Identification of Key Node...

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32nd Euromicro international conference on parallel, distributed and Network-Based Processing (PDP)

作者： Labini, Paolo Sylos Jurco, Andrej Ceccarello, Matteo Guarino, Stefano Mastrostefano, Enrico Vella, Flavio Free Univ Bozen Bolzano Bolzano Italy Univ Padua Padua Italy CNR Inst Appl Math Rome Italy Univ Trento Trento Italy

ISBN: (纸本)9798350363074;9798350363081

Structural centrality measures are often used to approximate or predict dynamical influence in a network. The recently proposed Expected Force of Infection (ExF) measures the entropy of all potential transmission paths starting at a node, effectively characterizing a node's role in epidemic diffusion processes. However, this promising metric has seen limited adoption mainly due to an inefficient formulation and the lack of an open-source implementation. In this paper, we present a novel cluster-centric, parallel algorithm enhancing ExF's efficiency and scalability. Compared to the simple parallel version of the original formulation of the ExF our efficient, open-source GPU implementation enables key nodes detection at previously intractable scales, with speed-ups of up to 300x on networks with up to 44 million edges. Leveraging on our algorithm, we compare the ExF with other well-known centrality metrics, upon six real and synthetic contact networks. The ExF emerges as the best of the considered metrics in a few, important tasks: it predicts the likelihood of a global epidemic and its diffusion speed, based on the centrality of the seed node;and it predicts how many other infections will occur as a consequence, in some sense, of a specific node having caught the disease.

关键词： Epidemic SIR Big Data Expected Force Graph Centrality Network parallel computing

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distributed Encrypted Storage of Large Scale Atomic Data for Cloud computing

Distributed Encrypted Storage of Large Scale Atomic Data for...

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2024 international conference on Cloud computing and Communication Engineering, CCCE 2024

作者： Pan, Fan Chen, Xiang Wu, Guoyao Wu, Qiyou Lan, Zhiqiang State Grid Fujian Marketing Service Center Fujian Fuzhou350013 China

ISBN: (数字)9781510686717

ISBN: (纸本)9781510686700

With the deepening application of Marketing 2.0 and Smart Brain, the problem of not being able to find, not being able to read, and not being able to use the data has been the difficulty and pain point of plaguing the business people to carry out data analysis independently. Therefore, this paper proposes a distributed encrypted storage of large-scale atomic data for cloud computing. In-depth study of the smallest computing factor with free combination and assembling ability, i.e., atomic data management application system, to realize efficient and safe storage of large-scale data in the cloud computing environment. At the same time, the study of atomic data business application system is directed by business requirements, aiming at consolidating the basic analysis base of marketing intelligent brain, empowering grass-roots business, lowering the threshold of data analysis at the grass-roots level, improving the ability of business risk identification, creating a good atmosphere of independent analysis, helping to cultivate the grass-roots digital team, and promoting the digital transformation of marketing. The research results show that the distributed encrypted storage method for large-scale atomic data oriented to cloud computing can effectively respond to the challenges of huge data volume, high access frequency, and high security requirements in the cloud computing environment. © 2024 SPIE.

关键词： distributed cloud

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Research on power distribution control of parallel microgrid based on adaptive capacitor algorithm

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international Journal of Wireless and Mobile computing 2023年第1期24卷 17-26页

作者： Tong, Zhanying Xu, Liutong School of Electrical Engineering and Automation Henan Institute of Technology Henan Province Xinxiang City China School of Mechanical and Electrical Engineering Henan Institute of Science and Technology Henan Province Xinxiang City China

In order to improve the stability and flexibility of microgrid operation, a droop control strategy for parallel microgrid power distribution based on adaptive virtual capacitor algorithm is proposed. The adaptive virtual capacitor is connected in parallel at the output of microgrid inverter to achieve accurate reactive power sharing of microgrid. The experimental results show that the average power sharing error of distributed generation under the control of adaptive virtual capacitor algorithm is 1.05%, which can effectively realise the accurate power distribution of microgrid and effectively avoid the problem of voltage drop. Add additional load to the system, and the distributed generation tends to be stable within 0.1s after a short transient process. The adaptive virtual capacitor algorithm has good adaptability to load changes, can effectively realise the accurate power distribution of parallel micro grid, and provides a new research idea for the operation optimisation of smart grid. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Reactive power

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Optimal Scheduling Algorithm of distributed Energy Resources in Virtual Power Plant Based on Cloud computing

Optimal Scheduling Algorithm of Distributed Energy Resources...

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2024 international conference on Telecommunications and Power Electronics, TELEPE 2024

作者： Li, Peikai Pan, Lianrong Yang, Jiayi Li, Jiaan Fu, Yuan Electric Power Dispatching and Control Center Guangxi Power Grid Co. Ltd. Guangxi Nanning530000 China Laibin Power Supply Bureau of Guangxi Power Grid Co. Ltd Guangxi Laibin530000 China

ISBN: (纸本)9798350369212

The purpose of this study is to propose an optimal scheduling algorithm for distributed Energy Resources (DER) of virtual power plants based on cloud computing, in order to meet the growing energy demand and complex energy system management challenges. The algorithm uses the flexible computing and big data processing capabilities of the cloud computing platform to achieve real-time scheduling and optimization of DER, with the goal of maximizing system profit and energy efficiency. In the aspect of algorithm design, this study combines DER modeling, energy demand modeling and optimal scheduling strategy design, and proposes an adaptive and flexible virtual power plant algorithm. Through the experimental verification, this study found that the algorithm has excellent performance in system profit, energy efficiency and scheduling response speed, and has obvious advantages compared with the traditional scheduling algorithm. In addition, the stability analysis results show that the algorithm can achieve more stable energy scheduling and management, which provides a reliable guarantee for the stable operation of the energy system. To sum up, the DER optimal scheduling algorithm of virtual power plant based on cloud computing has important theoretical and practical significance in the energy field, and provides an effective solution to improve the efficiency and reliability of the energy system. © 2024 IEEE.

关键词： Cloud computing distributed energy resources optimal scheduling virtual power plant

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