Uncertainties from generation sources and loads have introduced tremendous challenges to the optimal dispatch of microgrids. This paper presents a novel two-stage min-max-min robust optimal dispatch model for a repres...
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Uncertainties from generation sources and loads have introduced tremendous challenges to the optimal dispatch of microgrids. This paper presents a novel two-stage min-max-min robust optimal dispatch model for a representative islanded ac/dc hybrid microgrid that faces uncertainties in renewable energy generation and customer loads. The first stage of the model determines the startup/shutdown state of the diesel engine generator and the operating state of the bidirectional converter of the microgrid. Then, the second stage optimizes the power dispatch of individual units in the microgrid. A new linearized equipment cost model is developed, counting for the degradation of energy storage. The use of this linear model helps maintain the linearity of the objective function without compromising solution accuracy. The columnand-constraint generation algorithm is implemented to efficiently obtain a robust dispatching plan for the microgrid, which minimizes the daily operating cost in the worst-case scenario. A case study and sensitivity analyses further demonstrate the rationale and the unique capability of the proposed model for the operation scheduling of ac/dc hybrid microgrids.
Workers of hazardous material (hazmat) transportation have a higher chance than other workers to be exposed to various risks in their workplace. Assisting them to safely operate in their workplace in a near real-time ...
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Dear Editor, Accumulating data have suggested that the SARS-CoV-2 infection in children is relatively rare and less critical when compared to adults.1 However, a recent study demonstrated that children and adults have...
Dear Editor, Accumulating data have suggested that the SARS-CoV-2 infection in children is relatively rare and less critical when compared to adults.1 However, a recent study demonstrated that children and adults have comparable chances of infection by SARS-CoV-2 when exposed to similar environment.2 At the same time, the low incidence of critical illness in children has been repeatedly reported and widely accepted despite the underlying mechanisms remaining elusive.1 Two major hypotheses regarding the reasons behind the milder symptoms in children during infection were proposed: (1) a relatively lower expression of genes associated with viral-entry compared to adults and (2) immune-related factors.3 Several lines of evidence have proposed that the immune system of children is still under development and constantly challenged by pathogens, which could lead to trained immunity with an enhanced innate immune function.
[...]in the present study, we analyzed the expression levels of viral-entry genes (i.e., ACE2, TMPRSS2, and FURIN) in both children and adult lung tissues by single-cell RNA sequencing (scRNA-seq) and immunohistochemistry (IHC).
[...]in accordance with a previous report, the staining patterns of ACE2, TMPRSS2, and FURIN were consistent in the same types of tissue regardless of the pathological condition of the patient.8 [IMAGE OMITTED.
SEE PDF] Although children of all ages are susceptible to SARS-CoV-2 infection, clinical data indicated better clinical outcomes in children compared to adults.1 However, the expression levels and the functional activity of ACE2 during child development remain largely unclear.
[...]interpretations on available data from animal models remain controversial.
The rapid development of microgrid (MG) has made it ready to connect multiple MGs for providing regional power supply. The energy management of a multi-MG (MMG) system is the key to the reliable, economic operation of...
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The rapid development of microgrid (MG) has made it ready to connect multiple MGs for providing regional power supply. The energy management of a multi-MG (MMG) system is the key to the reliable, economic operation of the interconnected power system. The MMG system is rich in distributed generation sources. The intermittence and volatility of renewable energy sources (RESs), such as wind and solar, cannot be ignored in a large-scale hybrid power system. Therefore, the energy management of a MMG system is a complex problem that coordinates distributed generation units within individual MGs, the power exchange among MGs, and the power trading between the grid and MGs. System of systems (SoS) has been identified as an effective way of forming a MMG system and coordinating the participating MGs for energy management. This paper proposes a hierarchical decentralized SoS architecture for the energy management of a MMG system and, accordingly, formulates it as a bilevel optimization problem. Energy management at the level of individual MGs is modeled as a multiple-stage robust optimization to handle the issue of RES uncertainty. Energy management at the level of MMG system further addresses the problem of spatially unbalanced demand and generation in the area. The proposed MMG energy management is further verified through a case study.
Rapid putative radiations of Rheum might be caused by the recent uplifts of the Qinghai-Tibetan Plateau and the quaternary climate oscillations. To better understand the molecular adaptation associated with Rheum radi...
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Rapid putative radiations of Rheum might be caused by the recent uplifts of the Qinghai-Tibetan Plateau and the quaternary climate oscillations. To better understand the molecular adaptation associated with Rheum radiation, in this study, the adaptive evolution of the chloroplast rbcL gene was analysed using the Phylogenetic Analysis Program. The results showed that two amino acid residues (75F, 203I) were under positive selection. The spatial analysis indicated that the site (75F) was located in the beta-sheet of the N-terminal loops involved in subunit interactions in the L8S8 molecule, and the site (2031) was in the alpha/beta-barrel active centre located on the C-terminal domain of the large subunit of Rubisco. These results suggest that potential positive selection in rbcL might have played an important role in the adaption of Rheum species to the extreme environments in Qinghai-Tibetan Plateau regions, and different species lineages might have been subjected to different selective pressures.
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