TY - GEN
T1 - Monte Carlo method-based clustering analysis applied for robust state estimation and data debugging of power systems
AU - Lin, Jeu Min
AU - Huang, Shyh Jier
PY - 2007
Y1 - 2007
N2 - This paper presents a robust method for power system state estimation along with a statistical technique of data debugging. In the estimation process, an exponential function is utilized to modify the variances of measurements in anticipation of enhancing the estimation performance and improving the convergence characteristics. Besides, with the aid of Monte Carlo method (MCM)-based clustering analysis, those bad data can be effectively identified from the set of raw measurements. To validate the effectiveness of the proposed approach, this method has been tested under different scenarios. Test results help confirm the feasibility of the method for the applications considered.
AB - This paper presents a robust method for power system state estimation along with a statistical technique of data debugging. In the estimation process, an exponential function is utilized to modify the variances of measurements in anticipation of enhancing the estimation performance and improving the convergence characteristics. Besides, with the aid of Monte Carlo method (MCM)-based clustering analysis, those bad data can be effectively identified from the set of raw measurements. To validate the effectiveness of the proposed approach, this method has been tested under different scenarios. Test results help confirm the feasibility of the method for the applications considered.
UR - http://www.scopus.com/inward/record.url?scp=50249124916&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50249124916&partnerID=8YFLogxK
U2 - 10.1109/ISAP.2007.4441617
DO - 10.1109/ISAP.2007.4441617
M3 - Conference contribution
AN - SCOPUS:50249124916
SN - 9860130868
SN - 9789860130867
T3 - 2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
BT - 2007 International Conference on Intelligent Systems Applications to Power Systems, ISAP
ER -