TY - GEN
T1 - An event triggered tracking state estimator for power systems with integrated wind generation
AU - Francy, R.
AU - Farid, A. M.
AU - Youcef-Toumi, K.
PY - 2013
Y1 - 2013
N2 - For many decades, state estimation has been a critical technology in the energy management systems utilized by transmission system operators. Over time, it has become a mature technology that provides an accurate representation of system state under fairly stable and well understood system operation. The integration of variable energy resources such as wind and solar generation, however, introduce new dynamics and uncertainties into the system. Along with increase in variability which needs real time monitoring, state estimation will be extended to the distribution networks which increase the size of the problem. Conventional solutions to this problem result in large problem sets being solved at a faster rate thereby becoming computationally intensive. This work builds upon the recent contribution of event-triggering where the state estimator is only called in the case of considerable 'novelty' in the evolution of the system state. Specifically, the concept of tracking saves significant computational effort at minimal expense of error by allowing for the update of system state between two consecutive triggered instances. The new event-triggered tracking state estimator (ETTSE) is demonstrated on the standard IEEE 14-bus system, and the results are observed for a specific bus.
AB - For many decades, state estimation has been a critical technology in the energy management systems utilized by transmission system operators. Over time, it has become a mature technology that provides an accurate representation of system state under fairly stable and well understood system operation. The integration of variable energy resources such as wind and solar generation, however, introduce new dynamics and uncertainties into the system. Along with increase in variability which needs real time monitoring, state estimation will be extended to the distribution networks which increase the size of the problem. Conventional solutions to this problem result in large problem sets being solved at a faster rate thereby becoming computationally intensive. This work builds upon the recent contribution of event-triggering where the state estimator is only called in the case of considerable 'novelty' in the evolution of the system state. Specifically, the concept of tracking saves significant computational effort at minimal expense of error by allowing for the update of system state between two consecutive triggered instances. The new event-triggered tracking state estimator (ETTSE) is demonstrated on the standard IEEE 14-bus system, and the results are observed for a specific bus.
KW - Event triggered
KW - State Estimation
KW - Tracking
UR - http://www.scopus.com/inward/record.url?scp=84890875872&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84890875872&partnerID=8YFLogxK
U2 - 10.1109/PTC.2013.6652180
DO - 10.1109/PTC.2013.6652180
M3 - Conference contribution
AN - SCOPUS:84890875872
SN - 9781467356695
T3 - 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
BT - 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
T2 - 2013 IEEE Grenoble Conference PowerTech, POWERTECH 2013
Y2 - 16 June 2013 through 20 June 2013
ER -