|Title||Risk-based optimal power flow and system operation state|
|Publication Type||Conference Paper|
|Year of Publication||2009|
|Authors||Yuan Li, James D McCalley|
|Conference Name||IEEE Power & Energy Society (PES) General Meeting|
|Conference Location||Calgary, Canada|
|Keywords||AA09-001, AARD, Automatic Switchable Network (ASN), load flow, optimal power flow (OPF), power system economics, power system reliability|
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.