Name
Abstract | ||
|---|---|---|
Nowadays there is a huge interest in developing new approaches for power system related problem solving. Generally, (meta) heuristic search methods are considered a good alternative to conventional ones. This paper aims to elaborate an original mathematical model focused on particle swarm optimization (PSO) applied for optimal power flow computing (OPF). Several practical issues are presented. One test power system is used as case study. Additionally, the algorithm developed is also applied for a real power system. It refers to the Western and South-Western side of the Romanian Power System. Further, it is intended to be used for transmission expansion planning. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/EUROCON.2013.6625138 | 2013 IEEE EUROCON |
Keywords | Field | DocType |
particle swarm optimization, optimal power flow, complex power systems, mathematical model, software | Particle swarm optimization,Power-flow study,Heuristic,Mathematical optimization,Power flow,Computer science,Electric power system,Algorithm,Multi-swarm optimization,Control engineering,Metaheuristic,Test power | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Petru Dan Cristian | 1 | 0 | 0.34 |
| Razvan Teslovan | 2 | 0 | 0.68 |
| Constantin Barbulescu | 3 | 3 | 5.52 |
| Stefan Kilyeni | 4 | 2 | 4.49 |
| Attila Simo | 5 | 0 | 2.37 |