Optimal operation of micro-grids to reduce energy production costs and environmental pollution using ant colony optimization algorithm (ACO)


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Lorenzini G., Kamarposhti M. A., Solyman A. A. A.

Journal Europeen des Systemes Automatises, cilt.54, sa.1, ss.9-19, 2021 (Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 54 Sayı: 1
  • Basım Tarihi: 2021
  • Doi Numarası: 10.18280/jesa.540102
  • Dergi Adı: Journal Europeen des Systemes Automatises
  • Derginin Tarandığı İndeksler: Scopus, ABI/INFORM
  • Sayfa Sayıları: ss.9-19
  • Anahtar Kelimeler: Ant colony optimization algorithm, Distributed generation, Microgrid, Reducing cost, Reducing pollution, Renewable energy source, Resources of energy distribution
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • İstanbul Gelişim Üniversitesi Adresli: Evet

Özet

© 2021 Lavoisier. All rights reserved.With increasing demand for electric energy and requesting higher quality by subscribers, the electric power industry has moved towards using new technologies. Many modern societies seek to use the systems of new energy management in order to reduce environmental pollutants and operational costs in electrical energy systems. Therefore, exploiting various resources of renewable energies, micro-grids can be considered as a significant tool to attain these objectives. According to the subject, Ant Colony Optimization algorithm (ACO) is used in this paper to optimize one micro-grid sample in order to reduce the cost of generating power and to reduce environmental pollution to increase reliability. The recommended algorithm has been done in two scenarios and each in two sections. In the first scenario, energy management will be conducted for all distributed generation resources and in the second scenario it is assumed that wind and solar products, produce their maximum power and energy management are conducted for the reminder elements and the results are compared with other optimization algorithms.