Tractable Data Enriched Distributionally Robust Chance-Constrained Conservation Voltage Reduction

This paper proposes a tractable distributionally robust chance-constrained conservation voltage reduction (DRCC-CVR) method with enriched data-based ambiguity set in unbalanced three-phase distribution systems. The increasing penetration of distributed renewable generation not only brings clean powe...

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Veröffentlicht in:	IEEE transactions on power systems 2024-01, Vol.39 (1), p.1-15
Hauptverfasser:	Zhang, Qianzhi, Bu, Fankun, Guo, Yi, Wang, Zhaoyu
Format:	Artikel
Sprache:	eng
Schlagworte:	Ambiguity Clean energy Computational modeling Conservation voltage reduction data enhancement Data models Distributed generation distribution systems distributionally robust chance-constrained optimization Enrichment Gaussian process Load modeling Markov chains Measuring instruments Phase distribution Phasors Photovoltaic cells Power flow Reactive power Renewable energy sources Robustness tractable reformulation Uncertainty Voltage control Voltage reduction
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