GA Based Multi-stage Transmission Network Expansion Planning
| Autor: | Attila Simo, St. Kilyeni, Constantin Barbulescu |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Power transmission
Mathematical optimization Computer science business.industry 020209 energy Particle swarm optimization 02 engineering and technology Field (computer science) Electric power system Software Transmission network Genetic algorithm 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Point (geometry) business |
| Zdroj: | Soft Computing Applications ISBN: 9783319625201 |
| DOI: | 10.1007/978-3-319-62521-8_5 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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