Multi-source coordinated low-carbon optimal dispatching for interconnected power systems considering carbon capture

The overall electricity consumption of electrolytic aluminum and ferroalloy loads is significant, and some of these loads have dispatch potential that can be used to locally absorb wind power while reducing dependence on conventional thermal power. To characterize the uncertainty of wind power, a fu...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Energy Informatics Jg. 7; H. 1; S. 61 - 18
Hauptverfasser:	Sun, Jiawen, Hua, Dong, Song, Xinfu, Liao, Mengke, Li, Zhongzhen, Jing, Shibo
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 01.12.2024 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Aluminum Carbon Carbon content Carbon sequestration Computer Science Confidence intervals Electric power distribution Electrical loads Electricity consumption Emissions Error correction Ferroalloys Forecasting Fuzzy sets Information Systems and Communication Service Integer programming Linear programming Low-carbon optimal scheduling Mixed integer Operating costs Optimization Power dispatch Probability distribution Reduction (electrolytic) Robustness optimization Schedules Scheduling Source⁃load coordination Statistical analysis Thermal power Uncertainty Unit commitment Wasserstein distance Wind power Wind power consumption Uncertainty Unit combination Robustness optimization Wasserstein distance Wind power consumption Source⁃load coordination Low-carbon optimal scheduling
ISSN:	2520-8942, 2520-8942
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!