{"title":"Losses Analysis in TEP Considering Uncertainity in Demand by DPSO","authors":"S. Jalilzadeh, A. Kimiyaghalam, A. Ashouri","volume":43,"journal":"International Journal of Mathematical and Computational Sciences","pagesStart":929,"pagesEnd":935,"ISSN":"1307-6892","URL":"https:\/\/publications.waset.org\/pdf\/4886","abstract":"This paper presents a mathematical model and a\r\nmethodology to analyze the losses in transmission expansion\r\nplanning (TEP) under uncertainty in demand. The methodology is\r\nbased on discrete particle swarm optimization (DPSO). DPSO is a\r\nuseful and powerful stochastic evolutionary algorithm to solve the\r\nlarge-scale, discrete and nonlinear optimization problems like TEP.\r\nThe effectiveness of the proposed idea is tested on an actual\r\ntransmission network of the Azerbaijan regional electric company,\r\nIran. 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