TY - CONF
T1 - Generalized injection shift factors and application to estimation of power flow transients
T2 - 2014 North American Power Symposium (NAPS)
Y1 - 2014/09//
SP - 1
EP - 5
A1 - Chen, Yu Christine
A1 - Alejandro D. Dominguez-Garcia
A1 - Peter W. Sauer
KW - AARD
KW - CERTS
AB - This paper proposes a method to estimate transmission line flows in a power system during the transient period following a loss of generation or increase in load contingency by using linear sensitivity injection shift factors (ISFs). Traditionally, ISFs are computed from an offline power flow model of the system with the slack bus defined. The proposed method, however, relies on generalized ISFs estimated via the solution of a system of linear equations that arise from high-frequency synchronized measurements obtained from phasor measurement units. Even though the generalized ISFs are obtained at the pre-disturbance steady-state operating point, by leveraging inertial and governor power flows during appropriate time-scales, they can be manipulated to predict active transmission line flows during the post-contingency transient period.
JF - 2014 North American Power Symposium (NAPS)
PB - IEEE
CY - Pullman, WA, USA
DO - 10.1109/NAPS.2014.6965399
ER -
TY - JOUR
T1 - Measurement-Based Estimation of Linear Sensitivity Distribution Factors and Applications
JF - IEEE Transactions on Power Systems
Y1 - 2014/
SP - 1372
EP - 1382
A1 - Chen, Yu Christine
A1 - Alejandro D. Dominguez-Garcia
A1 - Peter W. Sauer
KW - AARD
KW - Automatic Switchable Network (ASN)
KW - CERTS
KW - load modeling
KW - phasor measurement units (PMUs)
KW - power system monitoring
AB - In this paper, we propose a method to compute linear sensitivity distribution factors (DFs) in near real-time. The method does not rely on the system power flow model. Instead, it uses only high-frequency synchronized data collected from phasor measurement units to estimate the injection shift factors through linear least-squares estimation, after which other DFs can be easily computed. Such a measurement-based approach is desirable since it is adaptive to changes in system operating point and topology. We further improve the adaptability of the proposed approach to such changes by using weighted and recursive least-squares estimation. Through numerical examples, we illustrate the advantages of our proposed DF estimation approach over the conventional model-based one in the context of contingency analysis and generation re-dispatch.
VL - 29
IS - 3
JO - IEEE Trans. Power Syst.
DO - 10.1109/TPWRS.2013.2292370
ER -
TY - JOUR
T1 - A Sparse Representation Approach to Online Estimation of Power System Distribution Factors
JF - IEEE Transactions on Power Systems
Y1 - 2014/10//
SP - 1
EP - 12
A1 - Chen, Yu Christine
A1 - Alejandro D. Dominguez-Garcia
A1 - Peter W. Sauer
KW - AARD
AB - In this paper, we propose a method to compute linear sensitivity distribution factors (DFs) in near real time without relying on a power flow model of the system. Specifically, we compute the injection shift factors (ISFs) of a particular line of interest with respect to active power injections at all buses (all other DFs can be determined from ISFs). The proposed ISF estimation method relies on the solution of an underdetermined system of linear equations that arise from high-frequency synchronized measurements obtained from phasor measurement units. We exploit a sparse representation (i.e., one in which many elements are zero) of the vector of desired ISFs via rearrangement by electrical distance and an appropriately chosen linear transformation, and cast the estimation problem into a sparse vector recovery problem. As we illustrate through case studies, the proposed approach provides accurate DF estimates with fewer sets of synchronized measurements than earlier approaches that rely on the solution of an overdetermined system of equations via the least-squares errors estimation method.
JO - IEEE Trans. Power Syst.
DO - 10.1109/TPWRS.2014.2356399
ER -
TY - CONF
T1 - Online estimation of power system distribution factors — A sparse representation approach
T2 - 2013 North American Power Symposium (NAPS)
Y1 - 2013/09//
SP - 1
EP - 5
A1 - Chen, Yu Christine
A1 - Alejandro D. Dominguez-Garcia
A1 - Peter W. Sauer
KW - AARD
KW - Automatic Switchable Network (ASN)
KW - CERTS
KW - distribution factors
KW - phasor measurement units (PMUs)
KW - power system reliability
AB - This paper proposes a method to compute linear sensitivity distribution factors (DFs) in near real-time without relying on a power flow model of the system. Instead, the proposed method relies on the solution of an underdetermined system of linear equations that arise from high-frequency synchronized measurements obtained from phasor measurement units. In particular, we exploit a sparse representation (i.e., one in which many elements are zero) of the desired DFs obtained via a linear transformation, and cast the estimation problem as an IO-norm minimization. As we illustrate through examples, the proposed approach is able to provide accurate DF estimates with fewer sets of synchronized measurements than earlier approaches that rely on the solution of an overdetermined system of equations via the least-squares errors method.
JF - 2013 North American Power Symposium (NAPS)
PB - IEEE
CY - Manhattan, KS, USA
DO - 10.1109/NAPS.2013.6666886
ER -