USING MULTIOBJECTIVE GENETIC ALGORITHMS FOR OPTIMAL RESOURCE MANAGEMENT IN AN AUTONOMOUS POWER SYSTEM

Abstract

This paper presents the results of research of multi-objective genetic algorithms applied to solving the problem of system construction and power management. Research is determined by the need for optimal and efficient distribution of different types of energy (renewable or residual) and attempts to improve overall energy efficiency in the energy system which is independent of centralized networks.

Authors and Affiliations

Alexander Gozhyi, Ivan Burlachenko, Konrad Gromaszek

Keywords

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  • EP ID EP59416
  • DOI -
  • Views 113
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How To Cite

Alexander Gozhyi, Ivan Burlachenko, Konrad Gromaszek (2012). USING MULTIOBJECTIVE GENETIC ALGORITHMS FOR OPTIMAL RESOURCE MANAGEMENT IN AN AUTONOMOUS POWER SYSTEM . Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska, 2(4), 48-50. https://europub.co.uk/articles/-A-59416