2022
DOI: 10.1109/tpwrs.2021.3107671
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Optimal Demand Response Incorporating Distribution LMP With PV Generation Uncertainty

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Cited by 24 publications
(3 citation statements)
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“…In [30] and [63], LPF-D and LF-Ds were proposed to linearize the ACOPF, in which the active and reactive powers were expressed as linear functions of voltage magnitudes and phase angles. In [64]- [66], the Taylor approximation was utilized to linearize the ACOPF model based on a predetermined initial operating point. In addition to these model-based linearization approaches, data-driven power flow linearization approaches have been proposed by utilizing the power system measurement data [67], [68].…”
Section: B Model Relaxationmentioning
confidence: 99%
“…In [30] and [63], LPF-D and LF-Ds were proposed to linearize the ACOPF, in which the active and reactive powers were expressed as linear functions of voltage magnitudes and phase angles. In [64]- [66], the Taylor approximation was utilized to linearize the ACOPF model based on a predetermined initial operating point. In addition to these model-based linearization approaches, data-driven power flow linearization approaches have been proposed by utilizing the power system measurement data [67], [68].…”
Section: B Model Relaxationmentioning
confidence: 99%
“…(1) Network aggregation flexibility A system with enough network flexibility can conduct bidirectional interaction of aggregated flexibility with the external grid, as formulated in (4).…”
Section: ) Network Flexibility Constraintsmentioning
confidence: 99%
“…Distribution networks undergo drastically uneven spatial and temporal distribution of power generation and demand [3]. Without proper power dispatch, it may result in serious operational issues, such as heavy branch congestion, voltage violations, and unnecessary network losses [4].…”
Section: Introductionmentioning
confidence: 99%