Substation Locating and Sizing in Distribution Network Based on Geographic Information

For substation locating and sizing in the distribution network, the cost of land and geographic information should be considered. A new algorithm based on cultural differential evolution algorithm (CDEA) considering geographic information factor is presented. Based on the improved technique for order preference by similarity to ideal solution (ITOPSIS), geographic information factor model is set up. CDEA is proposed by designing three kinds of knowledge in belief space to guide evolution. The new algorithm overcomes the premature phenomenon of differential evolution algorithm and improves significantly ability of global optimization. Finally the case proves that the proposed model and method is correct, having certain practical value.