Title :
Transmission network expansion planning considering uncertainness in demand
Author :
Silva, Irênio De J ; Rider, Marcos J. ; Romero, Rubén ; Murari, Carlos A.
Author_Institution :
Dept. of Electr. Eng., Campinas State Univ., Brazil
Abstract :
This paper presents a mathematical model and a methodology to solve the transmission network expansion planning problem considering uncertainness in demand. The methodology allows us to find an optimal transmission network expansion plan that allows the power system operates adequately in an environment with uncertainness. The model presented is solved using a genetic algorithm designed to solve the expansion planning with uncertainness in demand in an efficient way. The results obtained for several known systems from the literature show the excellent performance of the proposed methodology.
Keywords :
genetic algorithms; power transmission planning; demand uncertainties; genetic algorithm; mathematical model; optimal transmission network expansion planning; Algorithm design and analysis; Artificial intelligence; Chromium; Circuits; Genetic algorithms; Intelligent networks; Load flow; Mathematical model; Power system modeling; Power system planning;
Conference_Titel :
Power Engineering Society General Meeting, 2005. IEEE
Print_ISBN :
0-7803-9157-8
DOI :
10.1109/PES.2005.1489297
