An interactive tool for measurement-driven modal analysis of large-scale power systems

A novel tool for transient stability analysis of large-scale power systems: Its application to the KEPCO system

Scatter contamination constitutes a dominant source of degradation of image quality in cone-beam computed tomography (CBCT). We have recently developed an analytic image reconstruction method with a scatter correction capability from the partially blocked cone-beam data out of a single scan. Despite its easy implementation and its computational efficiency, the developed method may result in additional image artifacts for a large cone angle geometry due to data inconsistency. To improve the image quality at a large cone angle, we propose a weighted rebinned backprojection-filtration (wrBPF) algorithm in conjunction with a hybrid type scatter correction approach. The proposed method uses a beam-blocker array that provides partial data for scatter correction and image reconstruction and that only blocks the beam within a limited cone angle. Thisdesign allows a chance to keep the image quality at larger cone angles by use of data redundancy since the projection data corresponding to larger cone angles are not blocked. However, the scatter correction would not be straightforward. In order to correct for the scatter in the projections at larger cone angles, we propose a novel scatter correction method combining a measurement-based and a convolution-based method. We first estimated the scatter signal using a measurement-based method in the partially beam-blocked regions, and then optimized the fitting parameters of a convolution-kernel that can be used for scatter correction in the projections at larger cone angles. For image reconstruction, we developed a wrBPF with butterfly filtering. We have conducted an experimental study to validate the proposed algorithm for image reconstruction and scatter correction. The experimental results revealed that the developed reconstruction method makes full use of the benefits of partial beam-blocking for scatter correction and image reconstruction and at the same time enhances image quality at larger cone angles by use of an optimized convolution-based scatter correction. The proposed method that enjoys the advantages of both measurement-based and convolution-based methods for scatter correction has successfully demonstrated its capability of reconstructing accurate images out of a single scan in circular CBCT.

This paper presents a new method to dynamically determine coherent generators and electrical areas of an interconnected power system. The proposed method is based on dynamic frequency deviations of both generator and non-generator buses, with respect to the system nominal frequency. The proposed method 1) largely overcomes the limitations of the existing model-based and measurement-based coherency identification methods, 2) enables dynamic tracking of the coherency time-evolution, and 3) provides noise immunity which is imperative in practical implementation. The method also promises the potential for real-time coherency calculation. The proposed method is applied to the 16-machine/68-bus NPCC system based on time-domain simulation studies in the PSS/E platform and the results are compared with those of the classical slow-coherency (model-based) method and a measurement-based method.

DYNAMIC EQUIVALENCING AND DIRECT METHODS OF STABILITY ANALYSIS

In contingency analysis of large-scale power systems, the high-order contingencies involving a relatively large number of component failures are traditionally assumed to have a very low occurrence probability. However, this may underestimate the probability of some N-k contingencies and thus pose risk to the reliable system operations considering that those contingencies would cause severe consequences. In this paper, we investigate the problem of hidden N-k contingencies and cast the problem of evaluating the hidden probability of an N-k contingency as a mixed integer linear programming problem. The simulation results on the IEEE 14-bus and 118-bus systems verify the effectiveness of the proposed model.

The authors present a sparse-matrix formulation of the transient energy function method, to analyze the transient stability of large-scale power systems. The proposed formulation preserves the original network structure and avoids network reduction. Consequently, all matrices used in the calculations are very sparse, leading to a significant saving in computational time as compared to the reduced-network-formulation approach. The proposed solution can handle very-large-scale power systems which are beyond the scope of the current reduced-network techniques. The sparse formulation is applied to several practical utility systems of up to 300 generators and 1724 buses. It is concluded that the results obtained demonstrate the superiority and potential of the sparse formulation in the stability analysis of large-scale power systems.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

This work presents a methodology for long-term voltage security analysis of large-scale power systems. The proposed approach is based on the combination of different static methods (P–V and Q–V curves) and on the adequate modeling, in power flow studies, of real-time control actions taken by system operators. Tests using real cases, in which the interconnected Brazilian system has experimented operating problems, are employed to illustrate and validate the proposed approach. It can be seen that knowledge representation is essential to foresee adverse operating scenarios and that the combination of different static methods can provide helpful information for decision making in a real-time environment.

The paper presents a description of the FMD BioPortal biosurveillance system (http://fmd.ucdavis.edu/bioportal/) that is currently operating to capture, analyze, and disseminate global data on foot-and-mouth (FMD) disease. The FMD BioPortal makes available to users world-wide FMD-related data from the Institute for Animal Health at Pirbright, England. The system's tools include those for tabulating and graphing data, performing spatio-temporal cluster analysis of outbreak cases of FMD, and analyzing genomic changes in FMD viruses. The FMD BioPortal also includes the FMD News (http://fmd.ucdavis. edu/index.php?id=1), which is a near real time web search to identify and capture FMD-related news items appearing worldwide. Major systems components include a communication backbone for secure, real-time data transfer, a data analysis module that can run analytical programs to assess spatial-temporal clustering, and an interactive visualization tool for integrated analysis and display of epidemiological and genomic data.

NASA's Solar System Treks Project (SSTP) online portals provide web-based suites of interactive visualization and analysis tools to enable planetary scientists, mission planners, students, and the general public to access mapped data products from past and current missions for a growing number of planetary bodies.&amp;#160;The Solar System Treks portals provide advanced data visualization and analysis capabilities for data returned from a vast number of instruments aboard many past and current missions to a growing number of planetary bodies throughout Solar System. Multiple map projections as well as interactive 3D views are available to optimize visualization of different landforms. A detailed set of analysis tools helps users find and interpret morphological features across diverse landscapes on the surfaces of planets, moons, and asteroids. In some cases, these tools make use of machine learning and artificial intelligence to help users locate, identify, and understand landforms drawn from very large datasets. Having an integrated suite of portals presenting geomorphology across a range of planetary bodies within the Solar System greatly facilitates studies of comparative planetology. The portals are currently being used for site selection and analysis by NASA and its international and commercial partners supporting upcoming missions.&amp;#160;Today, 11 web portals in the program are available to the public. This list includes portals for the Moon; the planets Mercury, Venus, and Mars; the asteroids Bennu, Ryugu, Vesta, and Ceres; and the outer moons Titan and Europa. The Icy Moons Trek portal features seven of Saturn&amp;#8217;s smaller icy moons. All of the portals are unified under a project home site with supporting content. These web-based portals are free resources and publicly available.&amp;#160;This presentation for EGU will detail and share examples of the how the portals can be applied to research in planetary geomorphology.

INTRODUCTIONThe primary goal of the International Haplotype Map Project has been to develop a haplotype map of the human genome that describes the common patterns of genetic variation, in order to accelerate the search for the genetic causes of human disease. Within the project, ~3.9 million distinct single-nucleotide polymorphisms (SNPs) have been genotyped in 270 individuals from four worldwide populations. The project data are available for unrestricted public use at the HapMap Web site. This site, which is the primary portal to genotype data produced by the project, offers bulk downloads of the data set, as well as interactive data browsing and analysis tools that are not available elsewhere. Bulk downloads of chromosome- or genome-wide data provide text dumps of the entire HapMap data set. Although complete, such downloads do not provide any filtering or selection services. This protocol describes the retrieval of HapMap data via bulk download.

Nearly one third of the world's population live in coastal areas, and ten of the fifteen most populous cities in the world lie on a coast. Inhabitants of the Low Elevation Coastal Zone (LECZ) — defined as the contiguous area along the coast that is less than 10 meters above sea level — make up 10% of the world's population and 13% of the world's urban population. Sea level rise, coastal inundation and associated shoreline retreat have emerged as one of the primary threats to these populations and the resources located near the coastal fringe. To meet the needs of governments, planners and managers, researchers are continually faced with the challenge of integrating large volumes of complex environmental and spatial-temporal data. Typically the spatial and temporal components of data sets are underutilized because methods for effectively handling these data have not been available. To address these issues, Eonfusion, a 4-Dimensional software solution, is easily incorporated into the geospatial workflow to significantly enhance the ease with which we can now integrate and explore complex spatially and temporally variant data sets. This paper explores case studies along prominent coastal regions in which, as example, models are developed to predict the impact of rising sea levels on low-lying coastal areas focusing on: ✓ Coastal Inundation ✓ Coastal Vulnerability ✓ Property Devaluation The inundation is spatially modeled as a function of time and enables the visualization of sea level rise scenarios to assess the extent and impact. The coastal vulnerability mapping highlights the analytical power of Eonfusion, through the efficient integration of inundation and vulnerability models to demonstrate the universal application of the software to the field of climate change research. The third model fuses the cadastral layer and a simple property valuation model to complete the scenario, thus demonstrating a powerful pathway for the estimation and visualization of the impact of these climate change events. The data for these case studies include: • Sea level rise scenarios from IPCC stage 4 • LID AR Elevation Data • Cadastral Parcels and Value Indicators • Storm Surge Information • Vulnerability Mapping The processing steps required to integrate, analyze and visualize these models are: • Generation of 3D terrain model from LID AR data • Adjustments for any Height Data (AHD) discrepancies • Integrate IPCC sea level rises and storm surges into Sea level rise timeseries • Identification of sinks using Eonfusion API application • Calculate inundation levels and tipping points at which sinks get filled • Fuse Cadastre and value model with 3D surface — value decreases as % of title flooded • Airphoto drape • Set up visualization scene with integrated graph for all scenarios The outcomes from this work include the identification of powerful pathways through the employment of new visualization and spatial-temporal analysis tools for: • Dynamic scenario based modeling for assessing cost and environmental impacts from climate change; • The provision of a mechanism enabling the visualization of the complex spatial and temporal patterns from a wide range of data derived empirically and from models. This enables key stakeholders to rapidly assess scenarios and their likely impacts • Modeling of this type could be used in a number of areas including fire, flood, tsunami, hurricanes, etc

INTRODUCTIONThe primary goal of the International Haplotype Map Project has been to develop a haplotype map of the human genome that describes the common patterns of genetic variation, in order to accelerate the search for the genetic causes of human disease. Within the project, ~3.9 million distinct single-nucleotide polymorphisms (SNPs) have been genotyped in 270 individuals from four worldwide populations. The project data are available for unrestricted public use at the HapMap website. This site, which is the primary portal to genotype data produced by the project, offers bulk downloads of the data set, as well as interactive data browsing and analysis tools that are not available elsewhere. Advanced users who wish to exercise fine control over the display of regions of high linkage disequilibrium (LD) or who wish to experiment with new algorithms for tag-SNP picking may wish to analyze HapMap data using the HaploView program. This program works well in combination with the HapMap website genome browser. A big advantage of HaploView over the genome browser is that it displays simultaneous high- and low-power views of regions of LD, and gives immediate feedback during scrolling and zooming operations. This protocol describes the use of HaploView to manipulate HapMap data.

The traditional data analysis tools support strong computational capabilities and numerous standard visualization techniques. However, they provide little visual interactions due to the fact that the tools maintain a wide applicability to diverse data domains, and thus any inherent meanings associated with the data domains are hardly allowed. To cover these limitations, we propose to augment Mat lab, one of the widely used data analysis tools and computational languages, by imposing the capabilities of handling semantic objects so that diverse essential interaction capabilities could be allowed such as brushing-and-linking, details-on-demand, and dynamic interactive updating on visualization. In our demonstration, we will show our audience how to import semantic data, how visual interactions are occurred, and how these functionalities are convenient using the movie similarity graph data set.

The rich data produced by the second phase of the Human Microbiome Project (iHMP) offers a unique opportunity to test hypotheses that interactions between microbial communities and a human host might impact an individual's health or disease status. In this work we describe infrastructure that integrates Metaviz, an interactive microbiome data analysis and visualization tool, with the iHMP Data Coordination Center web portal and the HMP2Data R/Bioconductor package. We describe integrative statistical and visual analyses of two datasets from iHMP using Metaviz along with the metagenomeSeq R/Bioconductor package for statistical analysis of differential abundance analysis. These use cases demonstrate the utility of a combined approach to access and analyze data from this resource.

With the complexity of modern vehicles tremendously increasing, quality engineers play a key role within today's automotive industry. Field data analysis supports corrective actions in development, production and after sales support. We decompose the requirements and show that association rules, being a popular approach to generating ex- planative models, still exhibit shortcomings. Recently proposed interactive rule cubes are a promising alternative. We extend this work by introducing a way of intuitively visualizing and meaningfully ranking them. Moreover, we present methods to interactively factorize a problem and validate hypotheses by ranking patterns based on expectations, and by browsing a cube-based network of related influences. All this is currently in use as an interactive tool for warranty data analysis in the automotive industry. A real-world case study shows how engineers successfully use it in identifying root causes of quality issues.