Self-adaptive system state optimization based on nonlinear affine transformation for renewable energy volatility

The short-term power variations of renewable energy sources result in system state fluctuations and deviations from the scheduled operating point. Tracking short-term power variations and maintaining the system's optimality is challenging for traditional optimization methods due to their highly...

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Veröffentlicht in:	Renewable energy Jg. 230; S. 120846
Hauptverfasser:	Zhang, Zhaoyi, Han, Zixi, Hu, Hao, Fan, Youping, Fan, Jianbin, Shu, Yinbiao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2024
Schlagworte:	algorithms bus transportation electric potential difference Energy storage devices Nonlinear affine transformation Renewable energy sources Self-adaptive algorithm Short-term power fluctuations Taylor series temporal variation Renewable energy sources Taylor series Energy storage devices Short-term power fluctuations Nonlinear affine transformation Self-adaptive algorithm
ISSN:	0960-1481
Online-Zugang:	Volltext
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