Dynamic transmission network expansion planning. case study for 50 buses test power system

The paper is focusing on dynamic transmission network expansion planning (TNEP). The TNEP problem has been approached from the retrospective 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). Case study refers to 50 buses test power system developed within Power Systems Department.