A data-driven model for power system operating costs based on different types of wind power fluctuations

The stochastic and intermittent features of wind power as well as the high percentage of wind power grid-connected significantly increase the additional operating costs of the power system. It is difficult to accurately calculate the impact of complex fluctuations in wind power on additional operati...

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Veröffentlicht in:	Journal of environmental management Jg. 351; S. 119878
Hauptverfasser:	Yan, Jie, Liu, Shan, Yan, Yamin, Zhang, Haoran, Liang, Chao, Wang, Bohong, Liu, Yongqian, Han, Shuang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.02.2024
Schlagworte:	algorithms Data-driven Deep neural network algorithm energy environmental management Power system operating costs simulation models Simulation of new power systems wind power Wind power fluctuation pattern Simulation of new power systems Deep neural network algorithm Power system operating costs Data-driven Wind power fluctuation pattern
ISSN:	0301-4797, 1095-8630, 1095-8630
Online-Zugang:	Volltext
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