825,859 research outputs found

    Choice of State Estimation Solution Process for Medium Voltage Distribution Systems

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    As distribution networks are turning into active systems, enhanced observability and continuous monitoring becomes essential for effective management and control. The state estimation (SE) tool is therefore now considered as the core component in future distribution management systems. The development of a novel distribution system SE tool is required to accommodate small to very large networks, operable with limited real time measurements and able to execute the computation of large volumes of data in a limited time frame. In this context, the paper investigates the computation time and voltage estimation qualities of three different SE optimization solution methods in order to evaluate their effectiveness as potential distribution SE candidate solutions

    Formal Scheduling Constraints for Time-Sensitive Networks

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    In recent years, the IEEE 802.1 Time Sensitive Networking (TSN) task group has been active standardizing time-sensitive capabilities for Ethernet networks ranging from distributed clock synchronization and time-based ingress policing to frame preemption, redundancy management, and scheduled traffic enhancements. In particular the scheduled traffic enhancements defined in IEEE 802.1Qbv together with the clock synchronization protocol open up the possibility to schedule communication in distributed networks providing real-time guarantees. In this paper we formalize the necessary constraints for creating window-based IEEE~802.1Qbv Gate Control List schedules for Time-sensitive Networks (TSN). The resulting schedules allow a greater flexibility in terms of timing properties while still guaranteeing deterministic communication with bounded jitter and end-to-end latency

    Meeting Real-Time Constraint of Spectrum Management in TV Black-Space Access

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    The TV set feedback feature standardized in the next generation TV system, ATSC 3.0, would enable opportunistic access of active TV channels in future Cognitive Radio Networks. This new dynamic spectrum access approach is named as black-space access, as it is complementary of current TV white space, which stands for inactive TV channels. TV black-space access can significantly increase the available spectrum of Cognitive Radio Networks in populated urban markets, where spectrum shortage is most severe while TV whitespace is very limited. However, to enable TV black-space access, secondary user has to evacuate a TV channel in a timely manner when TV user comes in. Such strict real-time constraint is an unique challenge of spectrum management infrastructure of Cognitive Radio Networks. In this paper, the real-time performance of spectrum management with regard to the degree of centralization of infrastructure is modeled and tested. Based on collected empirical network latency and database response time, we analyze the average evacuation time under four structures of spectrum management infrastructure: fully distribution, city-wide centralization, national-wide centralization, and semi-national centralization. The results show that national wide centralization may not meet the real-time requirement, while semi-national centralization that use multiple co-located independent spectrum manager can achieve real-time performance while keep most of the operational advantage of fully centralized structure.Comment: 9 pages, 7 figures, Technical Repor

    Optimisation of routing protocols for Wireless Mesh Networks (WMNs) to achieve higher quality of service for real time applications

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    The existing routing protocols for WMNs (Wireless Mesh Networks) are extensions of protocols originally designed for Mobile Ad-hoc Networks (MANETs) and perform sub-optimally for the mesh connectivity of WMNs which degrades their performance in terms of increased latency in packet delivery, packet drops and decreased network throughput. The proposed research, currently at its inception, would investigate into capacity and limitations of current WMN routing protocols with respect to wireless technologies, platforms and relevant standards in context of routing requirements of identified real-time applications, namely, the disaster management and tele-health applications. The research would optimise the existing routing protocols for WMNs for the proposed applications to achieve higher quality of service, reliability and security of data access to meet their specialist requirements. Wireless Mesh Networks (WMNs) are increasingly being incorporated in disaster management solutions for access to information of disaster situation to improve effectiveness of rescue services. Currently, the routing requirements of disaster solution using WMN has been researched in context of active research project, “iSurvival- Mobile Mesh Networks for Disaster Management” , which utilises specialist applications on smart phones of end-users in the disaster area to establish WMNs using available heterogeneous wireless technologies from 3G, Wi-Fi, Bluetooth and others. These WMNs provide resilient and reconfigurable digital infrastructures, with users’ smart phones acting as routers in the connected mesh networks to facilitate routing and forwarding of information in the disaster are

    Design and performance evaluation of a state-space based AQM

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    Recent research has shown the link between congestion control in communication networks and feedback control system. In this paper, the design of an active queue management (AQM) which can be viewed as a controller, is considered. Based on a state space representation of a linearized fluid flow model of TCP, the AQM design is converted to a state feedback synthesis problem for time delay systems. Finally, an example extracted from the literature and simulations via a network simulator NS (under cross traffic conditions) support our study

    Using dynamic optimal power flow to inform the design and operation of active network management schemes

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    Active Network Management (ANM) schemes are providing the communications and control infrastructure to allow the integration of energy storage and flexible demand in distribution networks. These technologies can be characterised as intertemporal in that their operation at different points in time is linked. This paper provides a discussion of the issues created when optimising an ANM scheme containing intertemporal energy technologies. A technique called Dynamic Optimal Power Flow is discussed and a case study is presented. The requirement to use forecasts of renewable energy resources such as wind power is discussed together with the issues that this creates
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