DocumentCode
1589418
Title
Risk-based optimal power flow and system operation state
Author
Li, Yuan ; McCalley, James D.
Author_Institution
CAISO, Folsom, CA, USA
fYear
2009
Firstpage
1
Lastpage
6
Abstract
In this paper, the risk-based optimal power flow is proposed, which minimizes the economic cost considering the system reliability, and a refined system operation state is provided to clarify this approach. In order to obtain better economic benefit than traditional security-constrained optimal power flow, the corrective optimal power flow is used in this work. The reliability is represented by the risk index, which captures the expected impact to the system. This problem is solved by Benders decomposition. The specific designed Benders subproblem will assure that no collapse or cascading overload occurs for the corrective optimal power flow problem. The approach auto-steers the dispatch between different risk level according to the probability and consequence of the upcoming contingency events. Case studies with a six-bus system are presented.
Keywords
power system economics; power system reliability; stochastic programming; Benders decomposition; economic cost; risk-based optimal power flow; stochastic programming; system operation state; Control systems; Cost function; Load flow; Power generation; Power generation economics; Power system economics; Power system reliability; Security; Stochastic processes; Voltage; Benders decomposition; optimal power flow; risk; stochastic programming;
fLanguage
English
Publisher
ieee
Conference_Titel
Power & Energy Society General Meeting, 2009. PES '09. IEEE
Conference_Location
Calgary, AB
ISSN
1944-9925
Print_ISBN
978-1-4244-4241-6
Type
conf
DOI
10.1109/PES.2009.5275724
Filename
5275724
Link To Document