|Title||Clustering of Power System Data and Its Use in Load Pocket Identification|
|Publication Type||Conference Paper|
|Year of Publication||2011|
|Authors||Katherine M Rogers, Thomas J Overbye|
|Conference Name||2011 44th Hawaii International Conference on System Sciences (HICSS 2011)|
|Conference Location||Kauai, HI|
|Keywords||reliability and markets, RM05-002|
When lines in a power system are constrained, the sensitivity of the power flows on these lines to generator output provides information about how the constraints divide the system and about the ability of sets of generators to increase revenue without increasing dispatch. Clustering is used to identify generators into groups with the potential for market advantage. In this paper, we discuss the implementation of several different clustering methods for identifying load pockets with potential market advantage.