Title :
Artificial intelligence based TNEP. Part 2: Case studies
Author :
Solomonesc, Florin ; Barbulescu, C. ; Kilyeni, St ; Pop, Oana ; Cristian, Dan
Author_Institution :
Power Syst. Dept., “Politeh.” Univ. of Timisoara, Timisoara, Romania
Abstract :
The paper is focusing on transmission network expansion planning (TNEP) problem solved using artificial intelligence techniques. It is divided into two parts. The 1st part is dedicated to the particle swarm optimization (PSO) and genetic algorithm (GA) concepts and mechanisms. The mathematical models and the associated software tool are also presented. Practical considerations are discussed. The 2nd part is focusing on case studies. 13 buses test power system, developed by the authors and IEEE 24 RTS have been used. The research work is going to be used in case of the Romanian power system (over 1000 buses).
Keywords :
artificial intelligence; genetic algorithms; particle swarm optimisation; power system analysis computing; power transmission planning; software tools; GA; IEEE 24 RTS; PSO; Romanian power system; artificial intelligence based TNEP; buses test power system; genetic algorithm; mathematical models; particle swarm optimization; software tool; transmission network expansion planning problem; Algorithm design and analysis; Artificial intelligence; Educational institutions; Genetic algorithms; Planning; Power systems; Software tools;
Conference_Titel :
Applied Computational Intelligence and Informatics (SACI), 2013 IEEE 8th International Symposium on
Conference_Location :
Timisoara
Print_ISBN :
978-1-4673-6397-6
DOI :
10.1109/SACI.2013.6609006
