Communications network emulation for smart grid test-bed

Holt, C S; Kong, Austin; Leger, Aaron St.; Bennett, Daniel

doi:10.1109/pesgm.2016.7741999

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Holt et al 9 proposed a methodology of network emulation to analyze and assess the performance of a communication network for Wide Area Monitoring and Control (WAMC) smart grids. Physical and virtual components were used to construct a real-time environment providing packet-level detailed analytical capabilities to assess the network's performance.…”

Section: Communication Protocolsmentioning

confidence: 99%

Adaptive leader election for control of tactical microgrids

Jane

Goldsmith

Parker

et al. 2020

Journal of Defense Modeling & Simulation

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An adaptive leader election protocol (LEP) was developed to control both stationary and mobile generation assets (generators and vehicles), achieved using an energy management system (EMS). The LEP algorithm adapts to changes in both topology and the asset inventory using the longevity criterion (available fuel, future availability), used to compute a desirability index, for election of a leader. The leader then implemented an optimal power flow EMS to ensure sufficient and optimal power flow within the electrical network was maintained in the presence of a complex electrical load, regardless of the asset mix. Both the LEP and EMS algorithms were distributed to the generation assets. This capability supports stationary grid-tied, vehicle-to-grid, and mobile vehicle-to-vehicle-based applications. Simulated case studies illustrate that the adaptive LEP was resistive to deterministic events (maintenance, available fuel), which could yield an inoperable asset, compromising grid stability. The use of the adaptive LEP resulted in a communication complexity of at most [Formula: see text]; in contrast, a fully connected communication system requires [Formula: see text] communications, limiting the scalability of the network. The EMS was optimized, resulting in a computationally efficient and scalable optimal power flow algorithm that can be extended for more general stationary or mobile energy networks.

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Section: Communication Protocolsmentioning

confidence: 99%

Adaptive leader election for control of tactical microgrids

Jane

Goldsmith

Parker

et al. 2020

Journal of Defense Modeling & Simulation

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How to Quantify Trust in Your Network Emulator?

Capriglione

Cerro

Ferrigno

et al. 2018

Lecture Notes in Computer Science

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Network emulators are used in many contexts of communication networks for the design and the development of network management and routing strategies as well as for the tuning of multimedia services as Voice Over IP, video streaming, TV on-demand, to cite a few. These devices are generally used for modifying, in a controlled way, data traffic flows by changing, in real time, several critical parameters as delay, packet loss percentage, throughput, and so on. Due to very attractive features as high versatility and configurability and low cost, the solutions based on general purpose hardware platforms and free/opensource software are the most ones adopted in the practice for implementing network emulators. Nevertheless, in such architectures the complex interaction of software and hardware sections should affect the accuracy and repeatability of such systems in correctly emulating the desired network behaviors. Consequently, a suitable pre-characterization stage of such kind of network emulators should be performed before they are used. In this framework, the paper describes a methodological approach for designing suitable test-bed and measurement procedure able to reliably characterize the performance of such systems. The final aim of the research activity is to provide a suitable uncertainty model and a confidence level for the parameters provided by network emulators, which can drive the final users in more reliably analyzing the experimental results coming from their test campaigns and which involve the network emulators.

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