TY - JOUR
T1 - Feasibility study
T2 - Autonomous state estimation in distribution systems
AU - Choi, Sungyun
AU - Kim, Beungjin
AU - Cokkinides, George J.
AU - Meliopoulos, A. P.Sakis
N1 - Funding Information:
Manuscript received June 29, 2010; revised August 19, 2010 and February 28, 2011; accepted April 27, 2011. Date of publication June 02, 2011; date of current version October 21, 2011. This work was supported by Hyundai Heavy Industries, DoE project DE-OE0000117 and the Power System Engineering Research Center. Paper no. TPWRS-00525-2010.
PY - 2011/11
Y1 - 2011/11
N2 - We propose an autonomous state estimation based on robotic concepts and advanced state estimation methods. An autonomous, intelligent monitoring infrastructure is proposed that reliably and automatically detects devices as they are plugged-in or -out; it identifies changes in system state and automatically updates the real-time model of the system. The real-time model is used for control, operation, and optimization of the system via application software that are not addressed in this paper. The proposed infrastructure uses modern intelligent electronic devices (IEDs) named universal monitoring protection and control units (UMPCUs) that are capable of handling three key data sets for the component that they are attached to: 1) connectivity, 2) device model, and 3) measurements. The connectivity data represent the connecting points where a device is connected to the power grid, the device model data provide the mathematical model of the device as an object, and the measurements provide the numeric values of physical quantities such as voltages and currents captured by the data acquisition system. This paper describes a feasibility study of the proposed infrastructure on a scaled-down three-substation power system laboratory setup. Performance metrics are provided that quantify total time latencies on IEC61850 implementation.
AB - We propose an autonomous state estimation based on robotic concepts and advanced state estimation methods. An autonomous, intelligent monitoring infrastructure is proposed that reliably and automatically detects devices as they are plugged-in or -out; it identifies changes in system state and automatically updates the real-time model of the system. The real-time model is used for control, operation, and optimization of the system via application software that are not addressed in this paper. The proposed infrastructure uses modern intelligent electronic devices (IEDs) named universal monitoring protection and control units (UMPCUs) that are capable of handling three key data sets for the component that they are attached to: 1) connectivity, 2) device model, and 3) measurements. The connectivity data represent the connecting points where a device is connected to the power grid, the device model data provide the mathematical model of the device as an object, and the measurements provide the numeric values of physical quantities such as voltages and currents captured by the data acquisition system. This paper describes a feasibility study of the proposed infrastructure on a scaled-down three-substation power system laboratory setup. Performance metrics are provided that quantify total time latencies on IEC61850 implementation.
KW - Automation
KW - IEC61850
KW - communication systems
KW - power distribution
KW - power system monitoring
KW - power system state estimation
KW - real-time systems
UR - http://www.scopus.com/inward/record.url?scp=80054921575&partnerID=8YFLogxK
U2 - 10.1109/TPWRS.2011.2151260
DO - 10.1109/TPWRS.2011.2151260
M3 - Article
AN - SCOPUS:80054921575
SN - 0885-8950
VL - 26
SP - 2109
EP - 2117
JO - IEEE Transactions on Power Systems
JF - IEEE Transactions on Power Systems
IS - 4
M1 - 5783326
ER -