Name
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. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/CAMSAP.2017.8313064 | 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP) |
Keywords | Field | DocType |
distributed optimal power flow,feasible point pursuit,AC Optimal Power Flow,core optimization task,power system operations,general operational scenarios,OPF problem,fully distributed procedure,AC OPF solutions,multiarea setting,local controllers,transmission network,boundary buses,OPF,NP | Approximation algorithm,Mathematical optimization,Transmission network,Power flow,Computer science,Electric power system,AC power,Computation | Conference |
ISBN | Citations | PageRank |
978-1-5386-1252-1 | 0 | 0.34 |
References | Authors | |
10 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ahmed S. Zamzam | 1 | 16 | 6.94 |
| Xiao Fu | 2 | 258 | 16.07 |
| Emiliano Dall'Anese | 3 | 360 | 38.11 |
| Nicholas D. Sidiropoulos | 4 | 1644 | 131.55 |