Title :
Computing Criticality of Lines in Power Systems
Author :
Pinar, Ali ; Reichert, Adam ; Lesieutre, Bernard
Author_Institution :
Computational Res. Div., Lawrence Berkeley Nat. Lab., CA
Abstract :
The authors propose a computationally efficient method based on nonlinear optimization to identify critical lines, failure of which can cause severe blackouts. The method computes criticality measure for all lines at a time, as opposed to detecting a single vulnerability, providing a global view of the system. This information on criticality of lines can be used to identify multiple contingencies by selectively exploring multiple combinations of broken lines. The effectiveness of our method is demonstrated on the IEEE 30 and 118 bus systems, where we can quickly detect the most critical lines and identify severe multiple contingencies.
Keywords :
optimisation; power cables; power systems; IEEE 118 bus systems; IEEE 30 bus systems; criticality measure; nonlinear optimization; power systems; Computer science; Equations; Laboratories; Load flow; Optimization methods; Power system interconnection; Power system planning; Power systems; Robustness; Voltage;
Conference_Titel :
Circuits and Systems, 2007. ISCAS 2007. IEEE International Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
1-4244-0920-9
Electronic_ISBN :
1-4244-0921-7
DOI :
10.1109/ISCAS.2007.378183