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TDD is a technique traditionally applied in applications with deterministic algorithms, in which the input and the expected result are known. However, the application of TDD with randomized algorithms have been a challenge, especially when the execution demands several random choices. The goal of this paper is to present an approach to allow the use of TDD in the development of randomized algorithms,...
This paper presents a proposal aimed at the initialization of the multimodal optimization process to solve the problem of static expansion planning of electric power transmission systems. In order to, the proposed methodology uses a constructive heuristic algorithm based on an indice, in which the expansion decisions are relaxed and represented through the hyperbolic tangent function. The electric...
This paper proposes a method based on Firefly Optimization (FO) to solve the static transmission network expansion planning (STNEP) of electric power systems. For this purpose, this paper has used heuristics information so as to reduce the search space and therefore increasing the efficiency of the bio-inspired optimization process. The proposed methodology can be divided into two steps: (1) Firstly,...
This work presents a heuristic constructive algorithm which evaluates the optimal set of transmission expansion paths of an electrical system. To do this, the discrete variables of transmission system are mitigated with the use of a linear function, which is valid for the [0,1] interval. These discrete variables are considered in the optimal power flow (OPF) using interior point technique. Considering...
The hydrothermal generation systems expansion is based on the ability of meeting the future energy market through increasing the existing power plants and/or the increase of the ability in transferring energy among the several regions in the country. The optimal investment to be performed is a function of generating ability of new units which are dimensioned according to the energy generation ability,...
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