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...

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Vydané v:	Energy Informatics Ročník 7; číslo 1; s. 61 - 18
Hlavní autori:	Sun, Jiawen, Hua, Dong, Song, Xinfu, Liao, Mengke, Li, Zhongzhen, Jing, Shibo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cham Springer International Publishing 01.12.2024 Springer Nature B.V SpringerOpen
Predmet:	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
On-line prístup:	Získať plný text
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