Title :
Artificial intelligence based TNEP. Part 1: Mathematical models
Author :
Cristian, Dan ; Barbulescu, C. ; Kilyeni, St ; Pop, Oana ; Solomonese, Florin
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 :
IEEE standards; artificial intelligence; genetic algorithms; mathematical analysis; particle swarm optimisation; power engineering computing; power transmission planning; power transmission reliability; GA; IEEE 24 RTS; PSO; Romanian power system; TNEP problem; artificial intelligence techniques; buses test power system; genetic algorithm; mathematical models; particle swarm optimization; software tool; transmission network expansion planning; Genetic algorithms; Mathematical model; Particle swarm optimization; Planning; Power systems; Sociology; Statistics;
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.2013.6609005
