Robust Optimization Research of Cyber–Physical Power System Considering Wind Power Uncertainty and Coupled Relationship

To mitigate the impact of wind power uncertainty and power–communication coupling on the robustness of a new power system, a bi-level mixed-integer robust optimization strategy is proposed. Firstly, a coupled network model is constructed based on complex network theory, taking into account the coupl...

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Veröffentlicht in:	Entropy (Basel, Switzerland) Jg. 26; H. 9; S. 795
Hauptverfasser:	Dong, Jiuling, Song, Zilong, Zheng, Yuanshuo, Luo, Jingtang, Zhang, Min, Yang, Xiaolong, Ma, Hongbing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 17.09.2024 MDPI
Schlagworte:	Alternative energy sources Analysis Case studies Communication Communication networks Communications networks Communications traffic Constraints coupled relationship Coupling Cyber-physical systems cyber–physical power system Electric power production Electric properties Electrical loads Electricity distribution Error reduction Forecasts and trends Graph theory Green technology Integer programming Load shedding Mathematical programming Mixed integer Optimization Optimization models Power flow power system resilience Random variables Research methodology Robust control robust optimization Simulation methods Topology Traffic flow Traffic models Uncertainty Wind power Wind power generation wind power uncertainty China power system resilience wind power uncertainty coupled relationship cyber–physical power system robust optimization
ISSN:	1099-4300, 1099-4300
Online-Zugang:	Volltext
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