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Optimization of Energy Supply Networks using Ant Colony Optimization

The planning of an energy supply network has to take into account the consumers’ demand as well as the potential location of plants and the necessary network structure. Usually this planning process is done in two steps, choosing the plants first, and constructing the optimal network secondly. With the usage of regenerative energies, the choice of the location of these plants which depend heavily on regional environmental conditions and hence the resulting network becomes increasingly important. This paper introduces a first approach for combining the choice of plants and the choice of a network in the same process using the meta heuristic Ant Colony Optimization. The results of the implemented algorithm are illustrated in a test scenario.