2014
DOI: 10.2172/1165600
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Modeling and Analysis of Value of Advanced Pumped Storage Hydropower in the United States

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Cited by 46 publications
(47 citation statements)
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“…These enhancements included variable efficiency levels, energy limits, pumping limitations in the security constrained unit commitment (SCUC) model, the security constrained economic dispatch (SCED) model, and the AGC model, ancillary service provision while pumping, and efficient exchange of energy levels between day-ahead and real-time. These enhancements can be seen in more detail in [18].…”
Section: Festivmentioning
confidence: 79%
“…These enhancements included variable efficiency levels, energy limits, pumping limitations in the security constrained unit commitment (SCUC) model, the security constrained economic dispatch (SCED) model, and the AGC model, ancillary service provision while pumping, and efficient exchange of energy levels between day-ahead and real-time. These enhancements can be seen in more detail in [18].…”
Section: Festivmentioning
confidence: 79%
“…xi Koritarov et al (2014) report that PSH, particularly AS units, may provide a significant portion of the ancillary services in the Western Interconnection, despite accounting for only 3% of total capacity. While both FS and AS units can provide regulation and spinning reserves in an economic manner when generating below their full load, AS units offer the added benefit of providing regulation service while in the pumping mode.…”
Section: Executive Summarymentioning
confidence: 99%
“…Throughout the study, the project team received guidance from an Advisory Working Group (AWG) consisting of 35 experts from a diverse group of organizations, including industry, research, and regulatory institutions. The results of the project are documented in a comprehensive report (Koritarov et al 2014).…”
Section: Introductionmentioning
confidence: 99%
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“…Thel iteraturec oncerning predictive metrics for the economics of aB TM peak-shavingb attery is generally focused on analyses of regional demand charges [12][13][14][15][16] rather than on the characteristicso fl oad shape that drivee conomics. An assessment of demand chargesc an indicate which regionsm ay be appropriate for BTM storage,b ut cannot identifyp romising individual customers.T here is previously published researcho nt he optimal sizing of storage that explores the mathematical programming methods by which one could size energys torage.P rior work has explored optimal sizing for grid load-leveling, [4,[17][18][19][20] hybrid renewable/storage installations, [21][22][23] and BTM storage for peak shaving.…”
Section: Introductionmentioning
confidence: 99%