Title :
Application of genetic algorithms to transmission planning
Author :
Chebbo, H.M. ; Irving, M.R.
Author_Institution :
Dept. of Electr. Eng. & Electron., Brunel Univ., Uxbridge, UK
Abstract :
A new transmission planning methodology using genetic algorithms (GAs) is proposed. This identifies the optimal transmission network over an extended time horizon based on the expected pattern of electricity demand and generation sources. A computer code has been developed and tested on a simplified UK Network model with 23 nodes and 49 possible wayleaves. Simulation tests have been subdivided into different categories according to the objective function of the optimum network. It is found that the GA model is applicable to the transmission planning problem
Keywords :
power system planning; GA model; computer code; electricity demand; electricity generation sources; extended time horizon; genetic algorithms; objective function; optimal transmission network; optimum network; simplified UK Network model; transmission planning methodology; wayleaves;
Conference_Titel :
Genetic Algorithms in Engineering Systems: Innovations and Applications, 1997. GALESIA 97. Second International Conference On (Conf. Publ. No. 446)
Conference_Location :
Glasgow
Print_ISBN :
0-85296-693-8
DOI :
10.1049/cp:19971211
