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Electric energy transmission is essential for the operation of competitive energy markets. Transmission expansion planning has been defined as a complex combinatorial optimization problem. This work puts forward a description of the solution techniques and alternatives to implement the transmission system's expansion. A model that considers Multi-objective Optimization - MOO - criteria is proposed...
This paper proposes an algorithm based on nondominated sorting genetic algorithm (NSGA-II) with the feature of adaptive crowding distance for solving multiobjective optimal power flow (MOOPF) problem to find the optimal location and capacity of FACTS devices in power system. The problem is formulated as mixed integer one with both continuous and discrete control variables. Two types of FACTS devices...
The most common way of multi-objective optimizations is assigning a weight to each objective and construct a single fitness function. In this method finding of the appropriate weights is the most important problem. The second method, which is not very well-known for power system researchers, is to optimize the objectives independently. Many optimum answers are achieved instead of a single one. These...
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