Abstract
The AC Optimal Power Flow (OPF) is a core optimization task in the domain of power system operations and control. It is known to be nonconvex (and, in fact, NP-hard). In general operational scenarios, identifying feasible (let alone optimal) power-flow solutions remains hard. This paper leverages the recently proposed Feasible Point Pursuit algorithm for solving the OPF problem to devise a fully distributed procedure that can identify AC OPF solutions. The paper considers a multi-area setting and develops an algorithm where all the computations are done locally withing each area, and then the local controllers have to communicate to only their neighbors a small amount of information pertaining to the boundary buses. The merits of the proposed approach are illustrated through an example of a challenging transmission network.
| Original language | American English |
|---|---|
| Number of pages | 5 |
| DOIs | |
| State | Published - 2018 |
| Event | 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) - Curacao, Netherlands Antilles Duration: 10 Dec 2017 → 13 Dec 2017 |
Conference
| Conference | 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) |
|---|---|
| City | Curacao, Netherlands Antilles |
| Period | 10/12/17 → 13/12/17 |
NLR Publication Number
- NREL/CP-5D00-68658
Keywords
- distributed optimization
- feasible point pursuit
- optimal power flow
- successive convex approximation
Fingerprint
Dive into the research topics of 'Distributed Optimal Power Flow Using Feasible Point Pursuit'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver