Title :
Single and Double Edge Cutset Identification in Large Scale Power Networks
Author :
Zhang, Liuxi ; Abur, Ali
Author_Institution :
Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA
Abstract :
Previous work on parameter error identification that is based on calculation of Lagrange multipliers has shown that the errors on single edge cutsets could not be detected and errors on double edge cutsets could not be identified without incorporating phasor measurement units (PMUs). Hence, the first step to address such deficiencies is identification of all single and double edge cutsets for large scale power networks. This paper presents a numerically efficient method which relies on factorization of reduced incidence matrix of the network. Results obtained by implementing the method in IEEE 14-, 30-, and 57-bus test systems and a 4520-bus transmission system are presented to illustrate its computational performance.
Keywords :
matrix decomposition; phasor measurement; power system analysis computing; Lagrange multipliers; computational performance; double edge cutset identification; factorization; large scale power networks; reduced incidence matrix; single edge cutset identification; Image edge detection; Matrix decomposition; Measurement uncertainty; Network topology; Phasor measurement units; Topology; Tutorials; Double edge cutsets; parameter error identification; phasor measurement units; single edge cutsets;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2011.2164815