A probabilistic methodology for distributed generation location in isolated electrical service area

Distributed generation unlike centralized electrical generation aims to generate electrical energy on small scale as near as possible to load centers, interchanging electric power with the network. This work presents a probabilistic methodology conceived to assist the electric system planning engineers in the selection of the distributed generation location, taking into account the hourly load changes or the daily load cycle. The hourly load centers, for each of the different hourly load scenarios, are calculated deterministically. These location points, properly weighted according to their load magnitude, are used to calculate the best fit probability distribution. This distribution is used to determine the maximum likelihood perimeter of the area where each source distributed generation point should preferably be located by the planning engineers. This takes into account, for example, the availability and the cost of the land lots, which are factors of special relevance in urban areas, as well as several obstacles important for the final selection of the candidates of the distributed generation points. The proposed methodology has been applied to a real case, assuming three different bivariate probability distributions: the Gaussian distribution, a bivariate version of Freund’s exponential distribution and the Weibull probability distribution. The methodology algorithm has been programmed in MATLAB. Results are presented and discussed for the application of the methodology to a realistic case and demonstrate the ability of the proposed methodology for efficiently handling the determination of the best location of the distributed generation and their corresponding distribution networks.

Risk-based methodology for parameter calibration of a reservoir flood control model

Flash floods are of major relevance in natural disaster management in the Mediterranean region. In many cases, the damaging effects of flash floods can be mitigated by adequate management of flood control reservoirs. This requires the development of suitable models for optimal operation of reservoirs. A probabilistic methodology for calibrating the parameters of a reservoir flood control model (RFCM) that takes into account the stochastic variability of flood events is presented. This study addresses the crucial problem of operating reservoirs during flood events, considering downstream river damages and dam failure risk as conflicting operation criteria. These two criteria are aggregated into a single objective of total expected damages from both the maximum released flows and stored volumes (overall risk index). For each selected parameter set the RFCM is run under a wide range of hydrologic loads (determined through Monte Carlo simulation). The optimal parameter set is obtained through the overall risk index (balanced solution) and then compared with other solutions of the Pareto front. The proposed methodology is implemented at three different reservoirs in the southeast of Spain. The results obtained show that the balanced solution offers a good compromise between the two main objectives of reservoir flood control management

Quantitative Assessment of Handwriting Evidence: The Value of the Shape of the Letter "A"

To provide a quantitative support to the handwriting evidence evaluation, a new method was developed through the computation of a likelihood ratio based on a Bayesian approach. In the present paper, the methodology is briefly described and applied to data collected within a simulated case of a threatening letter. Fourier descriptors are used to characterise the shape of loops of handwritten characters "a" of the true writer of the threatening letter, and: 1) with reference characters "a" of the true writer of the threatening letter, and then 2) with characters "a" of a writer who did not write the threatening letter. The findings support that the probabilistic methodology correctly supports either the hypothesis of authorship or the alternative hypothesis. Further developments will enable the handwriting examiner to use this methodology as a helpful assistance to assess the strength of evidence in handwriting casework.

Planejamento de um ambiente virtual de aprendizagem baseado em interfaces dinâmicas e uma aplicação ao estudo de potência elétrica

Pós-graduação em Engenharia Elétrica - FEIS

Técnicas de otimização em alinhamentos múltiplos de sequência via Cadeias de Markov

Pós-graduação em Ciência da Computação - IBILCE

Desarrollos metodológicos y aplicaciones hacia el cálculo de la peligrosidad sísmica en el ecuador continental y estudio de riesgo sísmico en la ciudad de Quito

En el presente trabajo de tesis se desarrolla, en primer lugar, un estudio de peligrosidad sísmica en Ecuador continental, siguiendo una metodología probabilista zonificada. El estudio se plantea a escala regional y presenta como principales aportaciones: 1) la elaboración de un Estado del Arte sobre Tectónica y Geología de Ecuador, concluyendo con la identificación de las principales fuentes sísmicas; 2) La confección de un Catálogo Sísmico de proyecto, recopilando información de distintas agencias, que ha sido homogeneizado a magnitud momento, Mw, depurado de réplicas y premonitores y corregido por la falta de completitud para la estimación de tasas en diferentes rangos de magnitud; 3) la propuesta de un nueva zonificación sísmica, definiendo las zonas sismogenéticas en tres regímenes tectónicos: cortical, subducción interfase y subducción in-slab; 4) la caracterización sísmica de cada zona estimando los parámetros de recurrencia y Magnitud Máxima (Mmax), considerando para este último parámetro una distribución de valores posibles en función de la sismicidad y tectónica, tras un exhaustivo análisis de los datos existentes; 5) la generación de mapas de peligrosidad sísmica de Ecuador continental en términos de aceleración pico (PGA) y espectral SA (T= 1s) , en ambos casos para periodos de retorno (PR) de 475, 975 y 2475 años; 6) La estimación de espectros de peligrosidad uniforme (UHS) y sismos de control mediante desagregación de la peligrosidad, para PR de 475 y 2475 años en 4 capitales de provincia: Quito, Esmeraldas, Guayaquil y Loja. Una segunda parte del trabajo se destina al cálculo del riesgo sísmico en el Barrio Mariscal Sucre de Quito, lo que supone incidir ya a una escala municipal. Como principales contribuciones de este trabajo se destacan: 1) definición del escenario sísmico que más contribuye a la peligrosidad en Quito, que actuará como input de cálculo del riesgo; 2) caracterización de la acción sísmica asociada a ese escenario, incluyendo resultados de microzonación y efecto local en la zona de estudio; 3) Elaboración de una Base de Datos partiendo de información catastral e identificación de las tipologías dominantes; 4) Asignación de clases de vulnerabilidad y obtención de porcentajes de daño esperado en cada clase ante la acción sísmica definida previamente, con la consiguiente representación de mapas de vulnerabilidad y daño; 5) mapas de indicadores globales del riesgo sísmico; 6) Base de datos georreferenciada con toda la información generada en el estudio. Cabe destacar que el trabajo, aunque no formula nuevos métodos, si plantea una metodología integral de cálculo del riesgo sísmico, incorporando avances en cada fase abordada, desde la estimación de la peligrosidad o la definición de escenarios sísmicos con carácter hibrido (probabilista-determinista), hasta la asignación de vulnerabilidades y estimación de escenarios de daño. Esta tesis trata de presentar contribuciones hacia el mejor conocimiento de la peligrosidad sísmica en Ecuador y el riesgo sísmico en Quito, siendo uno de los primeros estudios de tesis que se desarrolla sobre estos temas en el país. El trabajo puede servir de ejemplo y punto de partida para estudios futuros; además de ser replicable en otras ciudades y municipios de Ecuador. -------------------- ABSTRACT: ------------------ This thesis first develops a study of seismic hazard in mainland Ecuador, following a zoned, probabilistic methodology. The study considers a regional scale and presents as main contributions: 1) The development of a State of Art on the Tectonics and Geology of Ecuador, concluding with the identification of the main seismic sources; 2) The creation of a Seismic Catalog project, collecting information from different agencies, which has been homogenized to Moment magnitude, Mw, purged from aftershocks and premonitories and corrected for the lack of completeness to estimate rates in different maggnitude ranges; 3) The proposal of a new seismic zoning, defining the seismogenic zones in three tectonic regimes: cortical, subduction interface and subduction in-slab; 4) The seismic characterization of each zone, estimating the parameters of recurrence and Maximum Magnitude (Mmax), considering the latter as a distribution of possible values, depending on the seismicity and tectonics, and after a thorough analysis of the existing data; 5) Seismic hazard maps of continental Ecuador in terms of peak ground acceleration (PGA) and spectral SA(T=1), and return periods (PR) of 475, 975 and 2475 years; 6) Uniform hazard spectra (UHS) and control earthquakes obtained by hazard disaggregation, for PR 475 and 2475 years in four provincial capitals: Quito, Esmeraldas, Guayaquil and Loja. The second section focuses on the calculation of seismic risk in the Quito Mariscal Sucre parish, which is already supposed to be influencing at a municipal level. The main contributions here are the: 1) Definition of the seismic scenario that contributes most to the hazard in Quito, which acts as an input in the risk calculation; 2) Characterization of the seismic action associated with that scenario, including results of micro-zoning and local effect in the study area; 3) Development of a database, based on cadastral data and identification of key typologies; 4) Allocation of vulnerability classes and obtaining percentages of damage expected in each class faced with the seismic action previously defined, with the consequent representation of maps of vulnerability and damage; 5) Global maps of seismic risk indicators; 6) Geo-referenced database with all the information generated in the study. It should be noted that although new methods are not prescribed, this study does set a comprehensive methodology for the calculation of seismic risk, incorporating advances in each phase approached, from the hazard estimation, or definition of seismic scenarios applying a hybrid (deterministic-probabilistic) method, to the allocation of vulnerabilities and estimation of damage scenarios. This thesis aims to present contributions leading to a better understanding of seismic hazard in Ecuador and seismic risk in Quito, and is one of the first studies in the country to develop such themes. This study can serve as an example and starting point for future studies, which could replicate this methodology in other cities and municipalities.

Modelling and Uncertainty Quantification application to SA simulation codes in advanced SMR

In the framework of a global transition to a low-carbon energy mix, the interest in advanced nuclear Small Modular Reactors (SMRs) has been growing at the international level. Due to the high level of maturity reached by Severe Accident Codes for currently operating rectors, their applicability to advanced SMRs is starting to be studied. Within the present work of thesis and in the framework of a collaboration between ENEA, UNIBO and IRSN, an ASTEC code model of a generic IRIS reactor has been developed. The simulation of a DBA sequence involving the operation of all the passive safety systems of the generic IRIS has been carried out to investigate the code model capability in the prediction of the thermal-hydraulics characterizing an integral SMR adopting a passive mitigation strategy. The following simulation of 4 BDBAs sequences explores the applicability of Severe Accident Codes to advance SMRs in beyond-design and core-degradation conditions. The uncertainty affecting a code simulation can be estimated by using the method of Input Uncertainty Propagation, whose application has been realized through the RAVEN-ASTEC coupling and implementation on an HPC platform. This probabilistic methodology has been employed in a study of the uncertainty affecting the passive safety system operation in the DBA simulation of ASTEC, providing a further characterization of the thermal-hydraulics of this sequence. The application of the Uncertainty Quantification method to early core-melt phenomena has been investigated in the framework of a BEPU analysis of the ASTEC simulation of the QUENCH test-6 experiment. A possible solution to the encountered challenges has been proposed through the application of a Limit Surface search algorithm.

Two-dimensional probabilistic inversion of plane-wave electromagnetic data: Methodology, model constraints and joint inversion with electrical resistivity data

Probabilistic inversion methods based on Markov chain Monte Carlo (MCMC) simulation are well suited to quantify parameter and model uncertainty of nonlinear inverse problems. Yet, application of such methods to CPU-intensive forward models can be a daunting task, particularly if the parameter space is high dimensional. Here, we present a 2-D pixel-based MCMC inversion of plane-wave electromagnetic (EM) data. Using synthetic data, we investigate how model parameter uncertainty depends on model structure constraints using different norms of the likelihood function and the model constraints, and study the added benefits of joint inversion of EM and electrical resistivity tomography (ERT) data. Our results demonstrate that model structure constraints are necessary to stabilize the MCMC inversion results of a highly discretized model. These constraints decrease model parameter uncertainty and facilitate model interpretation. A drawback is that these constraints may lead to posterior distributions that do not fully include the true underlying model, because some of its features exhibit a low sensitivity to the EM data, and hence are difficult to resolve. This problem can be partly mitigated if the plane-wave EM data is augmented with ERT observations. The hierarchical Bayesian inverse formulation introduced and used herein is able to successfully recover the probabilistic properties of the measurement data errors and a model regularization weight. Application of the proposed inversion methodology to field data from an aquifer demonstrates that the posterior mean model realization is very similar to that derived from a deterministic inversion with similar model constraints.

Probabilistic linkage in household survey on hospital care usage

OBJECTIVE: To evaluate the potential advantages and limitations of the use of the Brazilian hospital admission authorization forms database and the probabilistic record linkage methodology for the validation of reported utilization of hospital care services in household surveys. METHODS: A total of 2,288 households interviews were conducted in the county of Duque de Caxias, Brazil. Information on the occurrence of at least one hospital admission in the year preceding the interview was obtained from a total of 10,733 household members. The 130 records of household members who reported at least one hospital admission in a public hospital were linked to a hospital database with 801,587 records, using an automatic probabilistic approach combined with an extensive clerical review. RESULTS: Seventy-four (57%) of the 130 household members were identified in the hospital database. Yet only 60 subjects (46%) showed a record of hospitalization in the hospital database in the study period. Hospital admissions due to a surgery procedure were significantly more likely to have been identified in the hospital database. The low level of concordance seen in the study can be explained by the following factors: errors in the linkage process; a telescoping effect; and an incomplete record in the hospital database. CONCLUSIONS: The use of hospital administrative databases and probabilistic linkage methodology may represent a methodological alternative for the validation of reported utilization of health care services, but some strategies should be employed in order to minimize the problems related to the use of this methodology in non-ideal conditions. Ideally, a single identifier, such as a personal health insurance number, and the universal coverage of the database would be desirable.

Increase of the delivered energy probability in DES using a fuzzy probabilistic modeling

The paper proposes a methodology to increase the probability of delivering power to any load point by identifying new investments in distribution energy systems. The proposed methodology is based on statistical failure and repair data of distribution components and it uses a fuzzy-probabilistic modeling for the components outage parameters. The fuzzy membership functions of the outage parameters of each component are based on statistical records. A mixed integer nonlinear programming optimization model is developed in order to identify the adequate investments in distribution energy system components which allow increasing the probability of delivering power to any customer in the distribution system at the minimum possible cost for the system operator. To illustrate the application of the proposed methodology, the paper includes a case study that considers a 180 bus distribution network.

Probabilistic approach for comparing partitions

3rd SMTDA Conference Proceedings, 11-14 June 2014, Lisbon, Portugal.

Probabilistic tsunami hazard in the Northeast Atlantic from near- and far-field tectonic sources

In this article, we present the first study on probabilistic tsunami hazard assessment for the Northeast (NE) Atlantic region related to earthquake sources. The methodology combines the probabilistic seismic hazard assessment, tsunami numerical modeling, and statistical approaches. We consider three main tsunamigenic areas, namely the Southwest Iberian Margin, the Gloria, and the Caribbean. For each tsunamigenic zone, we derive the annual recurrence rate for each magnitude range, from Mw 8.0 up to Mw 9.0, with a regular interval, using the Bayesian method, which incorporates seismic information from historical and instrumental catalogs. A numerical code, solving the shallow water equations, is employed to simulate the tsunami propagation and compute near shore wave heights. The probability of exceeding a specific tsunami hazard level during a given time period is calculated using the Poisson distribution. The results are presented in terms of the probability of exceedance of a given tsunami amplitude for 100- and 500-year return periods. The hazard level varies along the NE Atlantic coast, being maximum along the northern segment of the Morocco Atlantic coast, the southern Portuguese coast, and the Spanish coast of the Gulf of Cadiz. We find that the probability that a maximum wave height exceeds 1 m somewhere in the NE Atlantic region reaches 60 and 100 % for 100- and 500-year return periods, respectively. These probability values decrease, respectively, to about 15 and 50 % when considering the exceedance threshold of 5 m for the same return periods of 100 and 500 years.

Implementation of a probabilistic based framework for safety assessment of existing timber elements

The assessment of existing timber structures is often limited to information obtained from non or semi destructive testing, as mechanical testing is in many cases not possible due to its destructive nature. Therefore, the available data provides only an indirect measurement of the reference mechanical properties of timber elements, often obtained through empirical based correlations. Moreover, the data must result from the combination of different tests, as to provide a reliable source of information for a structural analysis. Even if general guidelines are available for each typology of testing, there is still a need for a global methodology allowing to combine information from different sources and infer upon that information in a decision process. In this scope, the present work presents the implementation of a probabilistic based framework for safety assessment of existing timber elements. This methodology combines information gathered in different scales and follows a probabilistic framework allowing for the structural assessment of existing timber elements with possibility of inference and updating of its mechanical properties, through Bayesian methods. The probabilistic based framework is based in four main steps: (i) scale of information; (ii) measurement data; (iii) probability assignment; and (iv) structural analysis. In this work, the proposed methodology is implemented in a case study. Data was obtained through a multi-scale experimental campaign made to old chestnut timber beams accounting correlations of non and semi-destructive tests with mechanical properties. Finally, different inference scenarios are discussed aiming at the characterization of the safety level of the elements.

Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science

Continuing developments in science and technology mean that the amounts of information forensic scientists are able to provide for criminal investigations is ever increasing. The commensurate increase in complexity creates difficulties for scientists and lawyers with regard to evaluation and interpretation, notably with respect to issues of inference and decision. Probability theory, implemented through graphical methods, and specifically Bayesian networks, provides powerful methods to deal with this complexity. Extensions of these methods to elements of decision theory provide further support and assistance to the judicial system. Bayesian Networks for Probabilistic Inference and Decision Analysis in Forensic Science provides a unique and comprehensive introduction to the use of Bayesian decision networks for the evaluation and interpretation of scientific findings in forensic science, and for the support of decision-makers in their scientific and legal tasks. Includes self-contained introductions to probability and decision theory. Develops the characteristics of Bayesian networks, object-oriented Bayesian networks and their extension to decision models. Features implementation of the methodology with reference to commercial and academically available software. Presents standard networks and their extensions that can be easily implemented and that can assist in the reader's own analysis of real cases. Provides a technique for structuring problems and organizing data based on methods and principles of scientific reasoning. Contains a method for the construction of coherent and defensible arguments for the analysis and evaluation of scientific findings and for decisions based on them. Is written in a lucid style, suitable for forensic scientists and lawyers with minimal mathematical background. Includes a foreword by Ian Evett. The clear and accessible style of this second edition makes this book ideal for all forensic scientists, applied statisticians and graduate students wishing to evaluate forensic findings from the perspective of probability and decision analysis. It will also appeal to lawyers and other scientists and professionals interested in the evaluation and interpretation of forensic findings, including decision making based on scientific information.

DNA evidence, probabilistic evaluation and collaborative tests.

Forensic scientists working in 12 state or private laboratories participated in collaborative tests to improve the reliability of the presentation of DNA data at trial. These tests were motivated in response to the growing criticism of the power of DNA evidence. The experts' conclusions in the tests are presented and discussed in the context of the Bayesian approach to interpretation. The use of a Bayesian approach and subjective probabilities in trace evaluation permits, in an easy and intuitive manner, the integration into the decision procedure of any revision of the measure of uncertainty in the light of new information. Such an integration is especially useful with forensic evidence. Furthermore, we believe that this probabilistic model is a useful tool (a) to assist scientists in the assessment of the value of scientific evidence, (b) to help jurists in the interpretation of judicial facts and (c) to clarify the respective roles of scientists and of members of the court. Respondents to the survey were reluctant to apply this methodology in the assessment of DNA evidence.