Abstract
Utilizing flexibility of the transmission network has gained significant attention recently. Prior efforts have shown that various benefits could be achieved by appropriately changing the network topology. This paper focuses on the reliability gains that can be achieved through corrective transmission switching (CTS). A full AC contingency analysis is conducted to identify critical contingencies that would result in violations. CTS is employed on these critical contingencies to test for violation reductions. A data-driven heuristic is proposed in this paper to identify the candidate switching list. This heuristic, also referred to as enhanced data mining (EDM) approach, provides a static lookup table consisting of corrective switching solutions, which is fast and effective. The lookup table can be created through a straightforward data mining technique. Simulations on the TVA system demonstrate the effectiveness and efficiency of the proposed heuristic.
| Original language | English (US) |
|---|---|
| Title of host publication | NAPS 2016 - 48th North American Power Symposium, Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781509032709 |
| DOIs | |
| State | Published - Nov 17 2016 |
| Event | 48th North American Power Symposium, NAPS 2016 - Denver, United States Duration: Sep 18 2016 → Sep 20 2016 |
Other
| Other | 48th North American Power Symposium, NAPS 2016 |
|---|---|
| Country/Territory | United States |
| City | Denver |
| Period | 9/18/16 → 9/20/16 |
Keywords
- Contingency analysis
- corrective transmission switching
- data mining
- heuristic
- large-scale power systems
- lookup table
- power system reliability
ASJC Scopus subject areas
- Strategy and Management
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering