TY - GEN
T1 - Clustering of power system data and its use in load pocket identification
AU - Rogers, Katherine M.
AU - Overbye, Thomas J.
PY - 2011/3/28
Y1 - 2011/3/28
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=79952914098&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79952914098&partnerID=8YFLogxK
U2 - 10.1109/HICSS.2011.104
DO - 10.1109/HICSS.2011.104
M3 - Conference contribution
AN - SCOPUS:79952914098
SN - 9780769542829
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
BT - Proceedings of the 44th Annual Hawaii International Conference on System Sciences, HICSS-44 2010
T2 - 44th Hawaii International Conference on System Sciences, HICSS-44 2010
Y2 - 4 January 2011 through 7 January 2011
ER -