70344

Автор(ов): 

2

Параметры публикации
Тип публикации: 
Статья в журнале/сборнике
Название: 
Approximate Dynamic Programming Decompositions for Economic Dispatch in Microgrids
Электронная публикация: 
Да
ISBN/ISSN: 
2405-8963
DOI: 
10.1016/j.ifacol.2022.07.046
Наименование источника: 
IFAC-PapersOnLine
Обозначение и номер тома: 
Vol. 55, Iss. 9
Город: 
Online Streaming
Издательство: 
Elsevier
Год издания: 
2022
Страницы: 
262-267 https://www.sciencedirect.com/science/article/pii/S2405896322004311/pdf?md5=02a2ef59fed4e9028967317f4b139ba5&pid=1-s2.0-S2405896322004311-main.pdf
Аннотация
Three novel approximate dynamic programming algorithms based on the temporal, spatial, and spatiotemporal decomposition are proposed for the economic dispatch problem (EDP) in a distribution energy system with complex topology and many non-dispatchable renewable energy sources and energy storage systems (ESS). Computational efficiency of the proposed algorithms is compared and convergence to the optimal solution is shown in numeric experiments on the example of the two-day hourly EDP for the IEEE 33bw test network having 200+ consumers, 150+ energy storages, and 1000+ consuming devices.
Библиографическая ссылка: 
Губко М.В., Шушко Н.И. Approximate Dynamic Programming Decompositions for Economic Dispatch in Microgrids / IFAC-PapersOnLine. Online Streaming: Elsevier, 2022. Vol. 55, Iss. 9. С. 262-267 https://www.sciencedirect.com/science/article/pii/S2405896322004311/pdf?md5=02a2ef59fed4e9028967317f4b139ba5&pid=1-s2.0-S2405896322004311-main.pdf.