Abstract
In a world where the climate has begun to change and the resources are limited, it’s imperative to optimize the amount of energy used in any system. The distribution system of electrical energy in any country must be the leader providing the exact infrastructure to give to his clients a service at low cost, trustable, and most important without affecting their environment. In this chapter we present the model of a system to provide electrical energy, heat and in some cases cool services using bio-inspired algorithms to optimize several objectives. The model designed must be able to predict changes in the future based on the growing or decreasing of the system. This model has been implemented using Wolfram Mathematical and the optimization method used were Genetic Algorithms and Ant Colony Optimization, to find the Pareto’s Front in a multi-objective, multi-step system to distribute electrical energy and heat to the city of Santa Clara, Cuba.
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Enriquez-Caro, S., Ocaña-Guevara, V.S., Anido-Bada, M. (2011). Application of Bio-Inspired Optimization Techniques in Power Distribution Systems. In: Golinska, P., Fertsch, M., Marx-Gómez, J. (eds) Information Technologies in Environmental Engineering. Environmental Science and Engineering(), vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19536-5_6
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DOI: https://doi.org/10.1007/978-3-642-19536-5_6
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