Title :
Invariant subspace parametric sensitivity (ISPS) of structure-preserving power system models
Author :
Lee, Byongjun ; Ajjarapu, Venkataramana
Author_Institution :
Dept. of Electr. Eng. & Comput. Eng., Iowa State Univ., Ames, IA, USA
fDate :
5/1/1996 12:00:00 AM
Abstract :
In this paper, the parametric sensitivities of a structure-preserving power system model are derived. The parametric sensitivities give the sensitivities of an equilibrium point with respect to a particular parameter of interest. A new invariant subspace parametric sensitivity (ISPS) is derived by projecting the total parametric sensitivity onto a particular eigenspace of interest. The ISPS provides the sensitivity of system stability. At a particular eigensubspace, ISPS of all the parameters under consideration are represented by a right eigenvector multiplied by a scalar σ. Then the parameter which has the most influence on the subspace can be determined by selecting the largest value of σ. The methodology is applied to a New England 39-bus system to identify components and parameters that are responsible fora possible system instability
Keywords :
matrix algebra; power system analysis computing; power system stability; sensitivity analysis; New England 39-bus system; computer simulation; eigenspace; eigensubspace; eigenvector; equilibrium point; invariant subspace parametric sensitivity; matrix decomposition; structure-preserving power system models; voltage stability; Eigenvalues and eigenfunctions; Equations; Joining processes; Matrices; Power system dynamics; Power system modeling; Power systems; Stability; Stability analysis; State-space methods; Vectors;
Journal_Title :
Power Systems, IEEE Transactions on