Name
Abstract | ||
|---|---|---|
The paper is focusing on dynamic transmission network expansion planning (DTNEP). The DTNEP problem has been approached from the retrospective and prospective point of view. To achieve this goal, the authors are developing two software tools in Matlab environment. Power flow computing is performed using conventional methods. Optimal power flow and network expansion are performed using artificial intelligence methods. Within this field, two techniques have been tackled: particle swarm optimization (PSO) and genetic algorithms (GA). The case study refers to a real power system modeled on the Center, Northern, Eastern and Southern parts of the Romanian Power System. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-3-319-62521-8_5 | SOFT COMPUTING APPLICATIONS, SOFA 2016, VOL 1 |
Keywords | DocType | Volume |
Power transmission,Power system planning,Dynamic expansion,Software-tool | Conference | 633 |
ISSN | Citations | PageRank |
2194-5357 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Attila Simo | 1 | 0 | 2.37 |
| St. Kilyeni | 2 | 0 | 0.34 |
| Constantin Barbulescu | 3 | 3 | 5.52 |