Natasha Dimishkovska Krasteski
Atanas Iliev
Ss. Cyril and Methodius University in Skopje, Faculty of Electrical Engineering and Information Technologies
North Macedonia
e-mail: dimishkovska.n@gmail.com
Abstract:
This paper introduces a modification of the genetic algorithm aimed at enhancing the selection process for reproducing the next generation. This modification accelerates the optimization process and improves the outcome. The case study analyzes a grid-connected microgrid comprising renewable energy sources, a battery storage system, prosumers with installed photovoltaic generators, and consumers. The effectiveness of the proposed modification is validated through comparison with two selection algorithms commonly used in the standard genetic algorithms.
Key words:
Renewable energy sources
microgrids
genetic algorithm
unit commitment
real-time pricing
The full text of the report is published in IJITS and is available
on the section “Archive” by URLhttps://ijits-bg.com/ijitsarchive
on the section “Archive” by URLhttps://ijits-bg.com/ijitsarchive
Citation of this article:
Dimishkovska Krsteski, N., Iliev, A. Modified genetic algorithm for unit commitment of grid connected microgrids under real time pricing conditions. International Journal on Information Technologies and Security, vol. 16, no. 3, 2024, pp. 81-90. DOI:https://doi.org/10.59035/HHVG2870
Dimishkovska Krsteski, N., Iliev, A. Modified genetic algorithm for unit commitment of grid connected microgrids under real time pricing conditions. International Journal on Information Technologies and Security, vol. 16, no. 3, 2024, pp. 81-90. DOI:https://doi.org/10.59035/HHVG2870