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IEEE Joint international Information Technology and Artificial Intelligence conference (ITAIC)

作者： Yibo Li Yan Zhang Bin Feng School of Civil Aviation Shenyang Aerospace University Shenyang China Key Laboratory of Civil Aviation of Liaoning Province Shenyang China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

On the basis of ensuring flight safety, the total flight conflict coefficient (TFCC) of the route network is added to the objective function to establish a single-objective optimization with the minimum collision coefficient as the target and the constraints of airspace availability and route cross-restriction as constraints the model uses genetic algorithm to solve, so that the conflict coefficient can get the best solution as possible. Finally, a simulation experiment was conducted on the Matlab platform for the Beijing Flight Information Area. the experimental results show that the regional network optimized by genetic algorithm has a potential flight coefficient value of 11.01% lower than the initial regional network and 15.81% lower than the preliminary planned regional network. the genetic algorithm has obvious effects in reducing the potential flight conflict coefficient and improving the airway network security, and is in line with China's current airspace environment and management system.

关键词： Atmospheric modeling Layout Linear programming Safety Mathematical model Optimization Genetic algorithms

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Research on Optimal Allocation of Electric-Cool-Heat Integrated Energy System Considering Reliability

Research on Optimal Allocation of Electric-Cool-Heat Integra...

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IEEE Joint international Information Technology and Artificial Intelligence conference (ITAIC)

作者： Song Liu You Wu Lei Yan Qing Wang School of Electrical and Electronic Engineering North China Electric Power University Beijing China State Grid Shandong Electric Power Research Institute Jinan China

ISBN: (数字)9781728152448

ISBN: (纸本)9781728152455

Optimizing the capacity allocation of the integrated energy system (IES) can promote the cascade utilization of multiple energy sources of electric cooling and heating, which is an important research direction of IES planning and design. In this paper, the lowest operating cost and the highest reliability of the IES are taken as the objective function, and a variety of load balancing constraints and equipment operating constraints are considered, the output strategy of each unit is formulated, an optimal allocation model is established for IES with various energy sources. Based on the differential evolution (DE) algorithm, MATLAB simulation is carried out. First, three scenes are constructed based on different equipment types, and the role and feasibility of renewable energy consumption, energy storage and CCHP are gradually studied. Finally, the optimization results of the multiple scenes are analyzed and compared. the effectiveness of the model solving method is confirmed by the optimized results.

关键词： Linear programming Resource management Reliability Mathematical model Optimization Load modeling Resistance heating

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AdaptMon: Adaptive Polling-Based Network Monitoring

AdaptMon: Adaptive Polling-Based Network Monitoring

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international conference on Frontiers of Signal Processing (ICFSP)

作者： Fatemeh Amou Aghaei Ruairi de Frein School of Electrical and Electronic Engineering Technological University Dublin Dublin Ireland School Electrical and Electronic Engineering Technological University Dublin Dublin Ireland

ISBN: (数字)9798350353235

ISBN: (纸本)9798350353242

Network monitoring promotes stable network operation by giving Software-Defined Networking (SDN) controllers data on the dynamically changing underlying infrastructure, such as traffic flows, bandwidth usage, network latency, error rates, and device health and status. Dynamically changing SDNs pose challenges for periodic monitoring and computationally intensive adaptive monitoring. New protocols are needed that can obtain monitoring data quickly and adapt to changes flexibly. We propose AdaptMon, an adaptive periodic polling monitoring algorithm. AdaptMon leverages network error frequency within a flexible allocation scheme based on Linear programming (LP), ensuring polynomial complexity, avoiding over-polling one switch while maintaining adaptivity. the object of this paper is to express the monitoring fairness and proportionality trade-off as an LP and to investigate the feasibility of using this solver in a real-time system. Our findings show that AdaptMon reacts to changing network conditions and performs error detection around 40% faster than traditional periodic polling. By prototyping AdaptMon we demonstrate that deploying the AdaptMon LP in an SDN is feasible. We identify the following perspectives: network error awareness is crucial to reduce monitoring delay; formulating adaptive periodic monitoring as an LP balances flexibility with computational efficienty.

关键词： Adaptive systems Signal processing algorithms Switches Signal processing Linear programming Real-time systems Delays Resource management Software defined networking Monitoring

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Research on Pricing Strategy of Shared Energy Storage and Integrated Energy Microgrid Cluster Transaction Based on Stackelberg Game theory

Research on Pricing Strategy of Shared Energy Storage and In...

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IEEE international conference on Power and Power and Renewable Energy (ICPRE)

作者： Siwen Wang Hui Chen Zhixin Wang Yanfei Shang Chunyang Gong College of Automation Engineering Shanghai University of Electric Power Shanghai China School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai China LITHOS NEW ENERGY GROUP COMPANY LIMITED Shanghai China College of Automation Engineering College of Electrical Engineering Shanghai University of Electric Power Shanghai China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

With the rapid development of renewable energy technologies, shared energy storage systems play a crucial role in enhancing the efficiency of integrated energy microgrid clusters. this paper introduces the cooperative operational architecture of multiple microgrids, including shared energy storage, and thoroughly analyzes the interactions and interests of each participant. the study further explores how to achieve synergistic energy optimization among microgrids using shared energy storage, considering the spatial and temporal complementarities of their net load characteristics. Additionally, the dynamic game relationships among microgrid operators (MO), shared energy storage operators (SESO), and user aggregators (UA) are analyzed, highlighting how the strategies of MO and SESO mutually constrain each other and together form the leadership layer of a Stackelberg game, with user aggregators in the lower layer. Finally, the paper demonstrates the uniqueness of the Stackelberg equilibrium and employs a combination of genetic algorithms and quadratic programming to solve it. the effectiveness of the proposed method is validated through case studies.

关键词： Renewable energy sources Leadership Microgrids Games Pricing Quadratic programming Game theory Optimization Energy storage Genetic algorithms

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Detect and Minimize Reverse Power Flow in a Distribution System Integrated Renewable Energy

Detect and Minimize Reverse Power Flow in a Distribution Sys...

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international conference on Integrated Circuits, Design, and Verification (ICDV)

作者： Nguyen Cong Chinh Nguyen Nhat Tung Manh-Hung Ha Faculty of Electrical and Electronics Engineering Thuyloi University Hanoi Vietnam Faculty of Applied Sciences International School Vietnam National University Hanoi Vietnam

ISBN: (数字)9798350371864

ISBN: (纸本)9798350371871

High penetration of renewable energy into the power system can cause risks such as overvoltage, frequency variation, voltage deviation, reverse power flow (RPF), etc. this paper presents a method to detect and minimize the reverse power flow in a distribution system integrated with renewable energy. IEEE 13 bus with a monitor is mounted on the source bus to identify the reverse power flow used to test the system. To demonstrate the induction of reverse power flow, a PV system is connected at node 692 with a set capacity of 4000 kW. the load flow is performed using co-simulation between engines OpenDSS and MATLAB through component object model server dynami-clink library. Biogeography-based optimization (BBO) is applied to solve the multiple objective functions, including RPF at the substation and total load increase at each bus. Results obtained by the proposed method show that the reverse power flow at the substation occurring due to the connection of large amounts of renewable energy sources can be significantly reduced.

关键词： Renewable energy sources Substations Voltage Linear programming Servers Voltage control Optimization

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Towards Understanding Rust in the Era of AI for Science at an Ecosystem Scale

Towards Understanding Rust in the Era of AI for Science at a...

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international conference on Communications, Information System and Computer Engineering (CISCE)

作者： Bo Xu Department of Chemistry Physical Sciences at the Microscale New Cornerstone Science Laboratory Hefei National Research Center Institute of Advanced Technology University of Science and Technology of China Hefei China

ISBN: (数字)9798350353174

ISBN: (纸本)9798350353181

Rust is an emerging programming language that provides both memory and thread safety like Java, and runtime efficiency like C/C++, by introducing a number of novel language features such as ownership, borrowing, explicit lifetime, and unsafe. these novel features make Rust a promising safe system language to build infrastructures in AI for science, where both security and performance are indispensable. However, there are no prior empirical studies of Rust language feature usage at the ecosystem scale, and such a study is important not only for guiding future language evolution but also for identifying research opportunities and challenges. In this paper, to fill the gap, we present the first comprehensive empirical study of Rust language feature usage at the ecosystem scale, by analyzing all registered 9,683 science-related crates in the Rust community's crate registry, with a novel tool RInsight we created. the empirical results give important insights, such as: 1) the dominated language features in all crates are functional ones (66.67 % ), which presents evidence that Rust is essentially a functional language pragmatically, but does NOT support the claim that “Rust is a safe dialect of C”; and 2) the unsafe feature is not used at an as high ratio as the prior study reported and is continuously dropping since 2018. We present the implications of these empirical findings and future research challenges to promote future research.

关键词： Java Runtime Ecosystems Memory management Prototypes programming Software

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Two-stage Optimization Based Multirate Transmission for SVC Streaming

Two-stage Optimization Based Multirate Transmission for SVC ...

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2008 9th international conference on Signal Processing(ICSP’2008)

作者： Lu Jiang,Junni Zou Key Laboratory of Special Fiber Optics and Optical Access Networks,Ministry of Education School of Comm.& Info.Engineering,Shanghai University

this paper addressed multirate allocation issues for Scalable Video Coding(SVC) streaming multicasting to heterogeneous *** view of the enhancement layers9; dependence on the base layer,a two-stage optimization sol... 详细信息

this paper addressed multirate allocation issues for Scalable Video Coding(SVC) streaming multicasting to heterogeneous *** view of the enhancement layers' dependence on the base layer,a two-stage optimization solution is *** the first stage,an improved minimum cost algorithm is introduced to minimize the base layer's ***,a maximum residual bandwidth(RMB) algorithm is used in the second stage to maximize the video *** approximate to the max-flow throughput,network coding is applied in two ***,the benefits of the proposed scheme are demonstrated in simulations.

关键词： multirate multicast,rate allocation,SVC,network coding,linear programming

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A Practical theory of Language-Integrated Query

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ACM SIGPLAN NOTICES 2013年第9期48卷 403-416页

作者： Cheney, James Lindley, Sam Wadler, Philip Univ Edinburgh Edinburgh EH8 9YL Midlothian Scotland Univ Strathclyde Glasgow G1 1XQ Lanark Scotland

Language-integrated query is receiving renewed attention, in part because of its support through Microsoft9;s LINQ framework. We present a practical theory of language-integrated query based on quotation and normal... 详细信息

Language-integrated query is receiving renewed attention, in part because of its support through Microsoft's LINQ framework. We present a practical theory of language-integrated query based on quotation and normalisation of quoted terms. Our technique supports join queries, abstraction over values and predicates, composition of queries, dynamic generation of queries, and queries with nested intermediate data. Higher-order features prove useful even for constructing first-order queries. We prove a theorem characterising when a host query is guaranteed to generate a single SQL query. We present experimental results confirming our technique works, even in situations where Microsoft's LINQ framework either fails to produce an SQL query or, in one case, produces an avalanche of SQL queries.

关键词： lambda calculus LINQ F# SQL quotation anti-quotation

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Reactive stream processing for data-centric publish/subscribe 15

Reactive stream processing for data-centric publish/subscrib...

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Proceedings of the 9th ACM international conference on Distributed Event-Based Systems

作者： Shweta Khare Kyoungho An Aniruddha Gokhale Sumant Tambe Ashish Meena Vanderbilt University Nashville TN Real-Time Innovations Sunnyvale CA

ISBN: (纸本)9781450332866

the Internet of things (IoT) paradigm has given rise to a new class of applications wherein complex data analytics must be performed in real-time on large volumes of fast-moving and heterogeneous sensor-generated data. Such data streams are often unbounded and must be processed in a distributed and parallel manner to ensure timely processing and delivery to interested subscribers. Dataflow architectures based on event-based design have served well in such applications because events support asynchrony, loose coupling, and helps build resilient, responsive and scalable applications. However, a unified programming model for event processing and distribution that can naturally compose the processing stages in a dataflow while exploiting the inherent parallelism available in the environment and computation is still lacking. To that end, we investigate the benefits of blending Reactive programming with data distribution frameworks for building distributed, reactive, and high-performance stream-processing applications. Specifically, we present insights from our study integrating and evaluating Microsoft .NET Reactive Extensions (Rx) with OMG Data Distribution Service (DDS), which is a standards-based publish/subscribe middleware suitable for demanding industrial IoT applications. Several key insights from both qualitative and quantitative evaluation of our approach are presented.

关键词： reactive programming data distribution service (DDS) stream processing reactive extensions (Rx) publish/subscribe

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Data-driven Condition-based Maintenance Schedules of Active Distribution Networks

Data-driven Condition-based Maintenance Schedules of Active ...

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IEEE international conference on Power and Power and Renewable Energy (ICPRE)

作者： Fengsheng Li Yuwei Shang Jinli Wang Limei Zhou Shuaitao Bai Wenke Shen Distribution technology center China Electric Power Research Institute Co. Ltd. Beijing China Wenchang power Supply Bureau Hainan Power Grid Co. Ltd. Hainan China

ISBN: (数字)9798350377460

ISBN: (纸本)9798350377477

Scientific maintenance schedules are an effective way to reduce maintenance costs and promote asset management efficiency in distribution networks. With the increasing integration of a large number of stochastic distributed generators (DGs), the deterioration rate of distribution equipment may accelerate significantly owing to heavy/over loading. Conventionally, the distribution networks maintenance scheduling is based on run-to-failure or simplified scheduled maintenance strategies, without considering the integration of DGs and the health condition of distribution equipment. In this paper, the Markov decision model is applied to formulate the condition-based maintenance scheduling problem of active distribution networks. the operation of DGs and failure probability of distribution equipment are considered. the Q-learning method is adopted to optimize the maintenance schedules. Case studies show the effectiveness of the proposed method.

关键词： Schedules Renewable energy sources Costs Q-learning Stochastic processes Distribution networks programming Maintenance Nonlinear dynamical systems Active distribution networks

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