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- W1979976257 abstract "In this paper a novel Branch and Bound (B&B) algorithm to solve the transmission expansion planning which is a non-convex mixed integer nonlinear programming problem (MINLP) is presented. Based on defining the options of the separating variables and makes a search in breadth, we call this algorithm a B&BML algorithm. The proposed algorithm is implemented in AMPL and an open source Ipopt solver is used to solve the nonlinear programming (NLP) problems of all candidates in the B&B tree. Strategies have been developed to address the problem of non-linearity and non-convexity of the search region. The proposed algorithm is applied to the problem of long-term transmission expansion planning modeled as an MINLP problem. The proposed algorithm has carried out on five commonly used test systems such as Garver 6-Bus, IEEE 24-Bus, 46-Bus South Brazilian test systems, Bolivian 57-Bus, and Colombian 93-Bus. Results show that the proposed methodology not only can find the best known solution but it also yields a large reduction between 24% to 77.6% in the number of NLP problems regarding to the size of the systems." @default.
- W1979976257 created "2016-06-24" @default.
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- W1979976257 date "2013-11-01" @default.
- W1979976257 modified "2023-10-02" @default.
- W1979976257 title "A modified Branch and Bound algorithm to solve the transmission expansion planning problem" @default.
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- W1979976257 doi "https://doi.org/10.1109/eeeic-2.2013.6737914" @default.
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