TY - GEN
T1 - Cooperative congestion control in power grid communication networks
AU - Cherukuri, Naveen
AU - Nahrstedt, Klara
PY - 2011
Y1 - 2011
N2 - Power grid digital communication networks are needed for the delivery of Phasor Measurement Unit(PMU) [1] sensor data with real time guarantees to the control centers for timely decisions. Present day network systems are unable to ensure real-time needs of the PMU data as they are not designed to support PMU devices. Hence, the need arises for new communication and control protocols. This paper describes the Cooperative Congestion Control (CCC) framework to ensure real-time guarantees for PMU data and to respond if transient deviations in real-time PMU network traffic occur. The framework utilizes a) NASPI [2], [4] aligned multiple service class queuing architecture; b) Cooperative real-time flow scheduling and bandwidth reassignment; and c) Cooperative coordination and back-pressure approaches among neighboring nodes. It then yields real-time PMU data guarantees during transient traffic pattern changes and/or overload situations. Our experiments confirm that the framework delivers real-time performance very well under different transient stress scenarios.
AB - Power grid digital communication networks are needed for the delivery of Phasor Measurement Unit(PMU) [1] sensor data with real time guarantees to the control centers for timely decisions. Present day network systems are unable to ensure real-time needs of the PMU data as they are not designed to support PMU devices. Hence, the need arises for new communication and control protocols. This paper describes the Cooperative Congestion Control (CCC) framework to ensure real-time guarantees for PMU data and to respond if transient deviations in real-time PMU network traffic occur. The framework utilizes a) NASPI [2], [4] aligned multiple service class queuing architecture; b) Cooperative real-time flow scheduling and bandwidth reassignment; and c) Cooperative coordination and back-pressure approaches among neighboring nodes. It then yields real-time PMU data guarantees during transient traffic pattern changes and/or overload situations. Our experiments confirm that the framework delivers real-time performance very well under different transient stress scenarios.
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U2 - 10.1109/SmartGridComm.2011.6102390
DO - 10.1109/SmartGridComm.2011.6102390
M3 - Conference contribution
AN - SCOPUS:84855855939
SN - 9781457717024
T3 - 2011 IEEE International Conference on Smart Grid Communications, SmartGridComm 2011
SP - 587
EP - 592
BT - 2011 IEEE International Conference on Smart Grid Communications, SmartGridComm 2011
T2 - 2011 IEEE 2nd International Conference on Smart Grid Communications, SmartGridComm 2011
Y2 - 17 October 2011 through 20 October 2011
ER -