2020
DOI: 10.1016/j.ijepes.2020.105865
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Sustainable microgrids with energy storage as a means to increase power resilience in critical facilities: An application to a hospital

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Cited by 98 publications
(32 citation statements)
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“…The stored energy inside the battery is expressed by (11) and (12). In these relationships, the initial energy of battery is also modeled.…”
Section: B Set Of Uncertaintiesmentioning
confidence: 99%
See 1 more Smart Citation
“…The stored energy inside the battery is expressed by (11) and (12). In these relationships, the initial energy of battery is also modeled.…”
Section: B Set Of Uncertaintiesmentioning
confidence: 99%
“…The critical load restoration is also a suitable index for resilience where the plan tries to restore the most important loads following disruptions [10]. In the electrical networks, the resilience can be improved by networked microgrids [11]. In such topologies, the active distribution grid is partitioned into several islanding microgrids [12].…”
Section: Introductionmentioning
confidence: 99%
“…Their possibilities go from the mere monitorization of the consumption or comfort conditions to the advanced control algorithms and automation (e.g., [ 44 ] that propose a local Energy Consumption Scheduling for HVAC control that which compensates for possible errors between weather forecast and real local conditions). In this sense, most of the BMS control approaches are focusing on getting improvements in energy efficiency [ 45 ], obtaining the optimal use of renewable resources [ 46 ], or are based on static pricing schemes [ 47 ].…”
Section: Proposed Architecturementioning
confidence: 99%
“…In [10], the authors employed the same software and energy resources, but considered a school, office, and hotel as the electric loads, power outages of 2 h occurring every hour, and a critical load of 50 % of the regular load. In [11] the same microgrid configuration was studied in REopt for a Hospital with power outage durations of 8 h, 16 h, and 24 h in the summer and winter solstices. Using REopt, the authors in [12] examined the effect of random outages lasting from 0 to 14 days in an office building in California with PV and BES.…”
Section: Introductcionmentioning
confidence: 99%