ОПТИМІЗАЦІЯ ПРОЦЕСІВ РОЗПОДІЛУ ЕЛЕКТРОЕНЕРГІЇ В СИСТЕМІ ЕЛЕКТРОПОСТАЧАННЯ ЕНЕРГЕТИЧНОЇ СПІЛЬНОТИ

The objective of this study is to establish a methodology for the equitable distribution of loads among participants in an energy community consisting of low-power renewable energy sources. This is achieved through the utilization of a modified resource allocation algorithm. The proposed approach ef...

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Datum:2023
Hauptverfasser: Веремійчук, Ю.А., Опришко, В.П., Притискач, І.В., Ярмолюк, О.С.
Format: Artikel
Sprache:Ukrainian
Veröffentlicht: Інститут електродинаміки Національної академії наук України 2023
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Online Zugang:https://prc.ied.org.ua/index.php/proceedings/article/view/330
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Назва журналу:Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine

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Proceedings of the Institute of Electrodynamics of the National Academy of Sciences of Ukraine
Beschreibung
Zusammenfassung:The objective of this study is to establish a methodology for the equitable distribution of loads among participants in an energy community consisting of low-power renewable energy sources. This is achieved through the utilization of a modified resource allocation algorithm. The proposed approach effectively considers multiple criteria, limited initial information, and the need for flexible assignment and reprioritization of objectives and constraints. To achieve this, linguistic characteristics are employed. Furthermore, under specific conditions, the list of objective functions can be expanded to capture the diverse interests of actors in the electricity market, such as suppliers and operators. To validate the effectiveness of the proposed methodology, statistical data on the operation of renewable energy sources supplying electricity to consumers within a specific region was utilized. Optimal operating modes for these sources were investigated. The focal point of this research is to develop a tool that ensures the optimal functioning of the network comprising low-power sources. To attain this, optimization criteria encompassing technical, economic, and environmental aspects were employed to derive the optimal operating modes for the renewable energy community. Bibl. 8, fig. 11, tabl. 2.