Isgt 2011 2011
DOI: 10.1109/isgt.2011.5759148
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Integrated system architecture and technology roadmap toward WAMPAC

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Cited by 11 publications
(5 citation statements)
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“…Another important component of latencies is the signal flying time to travel through the medium and routers at each link. Their stochastic behaviour contributes to the total time delay [35].…”
Section: Latencies In Wams Communicationsmentioning
confidence: 99%
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“…Another important component of latencies is the signal flying time to travel through the medium and routers at each link. Their stochastic behaviour contributes to the total time delay [35].…”
Section: Latencies In Wams Communicationsmentioning
confidence: 99%
“…Firstly, τ v denotes the total time delay produced by the devices mentioned in the previous section (PMU, PDC, SPDC). Secondly, τ link is the total additional latency due to the links of the communication process; τ link is related to the weather conditions and the medium and is generally greater than τ v [35]. The sum of these values is given by:…”
Section: Behavior and Modeling Of The Random Time Delays In The Pmu Communication Infrastructurementioning
confidence: 99%
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“…In simple terms it requires collating information on the description of the current state of the power grid over a large geographical. Then, this information can be analyzed, for instance to diagnose current situation or predict the evolution of the power grid state under different operational conditions and energy control strategies [60]- [62]. This application requires very high frequency or granularity of information in order of milliseconds collected from the transmission networks and electric substations about the state of the power grid [10], [15].…”
Section: Wide Area Situational Awareness (Wasa)mentioning
confidence: 99%
“…One of the most important applications that smart grids should support is real-time wide-area situational awareness (WASA), which is defined as the ability to build a high-resolution description of the current state of the power grid over a wide area. Then, this information can be analyzed, for instance to predict the evolution of the power grid state under different operational conditions and energy control strategies [26,[70][71][72].…”
Section: Wide-area Situational Awareness (Wasa)mentioning
confidence: 99%