Name
Abstract | ||
|---|---|---|
The paper is focusing on dynamic transmission network expansion planning (TNEP). The TNEP 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 well-known IEEE 24 RTS test power system. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/HSI.2015.7170643 | 2015 8th International Conference on Human System Interaction (HSI) |
Keywords | Field | DocType |
artificial intellingence,dynamic expansion planning,retrospectiv approach,optimization,transmission network,software-tool | Particle swarm optimization,MATLAB,Transmission network,Power flow,Computer science,Artificial intelligence,Genetic algorithm,Network expansion,Test power | Conference |
ISSN | Citations | PageRank |
2158-2246 | 0 | 0.34 |
References | Authors | |
1 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Attila Simo | 1 | 0 | 2.37 |
| Stefan Kilyeni | 2 | 2 | 4.49 |
| Constantin Barbulescu | 3 | 3 | 5.52 |