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Integrated Microgrid Design and Operation Optimization Using Dynamic-Data-Driven Approaches
No full textOur traditional electricity system is experiencing a drastic change as microgrids are fast spreading due to their inherent advantages of energy resilience, prosperity, and sustainability for the communities. The microgrid concept can be defined as the integration of distributed energy sources, energy storage systems and controllable loads into localized energy systems. However, non-linearities in the operation of microgrids, variations in load demand, and uncertainties in power generation from renewable energy sources pose significant challenges to determine the optimal microgrid operation planning. Here, timely planning, analysis, and control of all the components in a microgrid play a crucial role to achieve the resilient, sustainable, and secure smart energy infrastructure. To this end, a dynamic data driven operation control and optimization framework is introduced for addressing significant challenges in operation planning and design of microgrids, the economic and environmental unit commitment and load dispatch problems, and timely monitoring and adaptation of microgrid operations to real-time system fluctuations and contingencies to increase the power network resilience and energy surety. The proposed framework incorporates new and advanced optimization models and algorithms for operation and control including a comprehensive optimization model and a decomposition algorithm for the operation of off-grid AC and DC microgrids, and multi-scale adaptive simulation models. Initially, a dynamic data driven multi-objective optimization framework was developed for the economic and environmental (near) real-time load dispatching considering demand side management decisions for DC microgrids. The framework has been tested and validated via a synthetic microgrid and as the numerical analysis revealed, it is capable of adopting the uncertainties in load demand by minimizing the operation cost and GHG gas emission. In addition to DC microgrids, a comprehensive microgrid operation models and advanced decomposition algorithm to solve the models are proposed for radial and mesh structured AC microgrids. Here, a stochastic network constrained AC microgrid unit commitment problem is first modeled. This model is the first model that presents a mixed-integer linear programming formulation for the network-constrained AC unit commitment problem including the energy storage systems and then proposes an efficient two-stage Benders’ decomposition approach to solve this problem under load and solar power uncertainty. The performance of the algorithm is demonstrated through the numerical results from two case studies on the IEEE-18, and IEEE33 radial test systems. Moreover, a new comprehensive security-constrained operation planning topology reconfiguration optimization model and a computationally efficient decomposition algorithm to solve the developed optimization model for the operation of off-grid AC microgrids are introduced. To the best of our knowledge, this model is the first in the literature that integrates network security constraints, branch flow equations, and transmission switching decisions into a multi-period operation planning problem. The capabilities and performance of the proposed approaches are tested on IEEE-9, IEEE-30, and IEEE-118 test systems. The numerical analysis has shown quite promising results in optimizing the design and operation planning such that the algorithm provides a (near-) optimal solution in a few minutes. Lastly, multi-fidelity simulation models are designed for resilient back-up power smart energy systems. Here, a low-fidelity battery load simulation model is developed for the estimation of the system states and assessment of potential power mismatch in power supply and demand while a high-fidelity component level simulation model is used for the analysis of power losses and inefficiencies in the system. The simulation models were illustrated and validated via data obtained from the City of Coral Gables and the experiments indicated, it is quite capable of determine the battery and PV capacities that are subject to uncertainties in the power supply and demand, and assessing of potential power mismatch in a smart microgrid by computing the amp-hour capacities of batteries in worst case scenarios.</p
UNCERTAINTY AND A NEW MEASURE FOR CLASSIFICATION UNCERTAINTY
No full textBen-Israel and Iyigun ([1] and [2]) presents a new clustering method which is probabilistic distance clustering (P-D Clustering). In this method, the probability of assignment to cluster for each point is inversely proportional to distances between data point and centers of clusters according to given number of clusters and their centers. In this paper, we study on new uncertainty measure for classification using the assignment probabilities of P-D Clustering. Moreover, the relationship of the new measure with Kullback - Liebner divergence is discussed
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A two-stage decomposition method for integrated optimization of islanded AC grid operation scheduling and network reconfiguration
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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