Islanding Detection Based on Probabilistic PCA with Missing Values in PMU Data

This paper proposes a probabilistic principal component analysis (PCA) approach applied to islanding detection study based on wide area PMU data. The increasing probability of uncontrolled islanding operation, according to many power system operators, is one of the biggest concerns with a large penetration of distributed renewable generation. The traditional islanding detection methods, such as RoCoF and vector shift, are however extremely sensitive and may result in many unwanted trips. The proposed probabilistic PCA aims to improve islanding detection accuracy and reduce the risk of unwanted tripping based on PMU measurements, while addressing a practical issue on missing data. The reliability and accuracy of the proposed probabilistic PCA approach are demonstrated using real data recorded in the UK power system by the OpenPMU project. The results show that the proposed methods can detect islanding accurately, without being falsely triggered by generation trips, even in the presence of missing values.

Developmental Antecedents of Proactive and Reactive Rebelliousness: The Role of Parenting Style, Childhood Adversity, and Attachment

Adolescence is a time of developmental transition that for one in five young people is characterised by feelings of oppositionality, rebellion, and negativism. Despite the prevalent experience of teen turbulence and despite its significance within the phenomenological framework provided by reversal theory (RT), the childhood antecedents of rebelliousness in adolescence and adulthood have not been given extensive empirical attention within RT, although such work has been carried out using other constructs and theories. We examined recalled parenting style, childhood adversity, and attachment style in adulthood as correlates of proactive and reactive rebelliousness in a sample of 80 participants, aged 18 to 50 years. Each participant responded to a questionnaire package containing the revised Adult Attachment Scale, the Parental Bonding Instrument, the Childhood Experience of Care and Abuse Questionnaire, and the Negativism Dominance Scale. We found that paternal abusive parenting, followed by paternal parenting style, paternal neglect, and paternal antipathy were independently predictive of scores on proactive rebelliousness, the sensation-seeking form. Maternal and paternal indifferent parenting styles each were found to equivalently and independently predict scores on reactive rebelliousness, the interpersonal disaffection form. The results of this study suggest these two forms of rebelliousness may have distinctly different antecedents. A longitudinal study is needed to examine the potentially causal pathways that are suggested by the results of this cross-sectional research. We consider reversal theory explanations of these results and contrast them with complementary theoretical frameworks.

Optimisation of an aptamer-biosensor to detect C-reactive protein

Dissertação de Mestrado, Engenharia Biológica, Faculdade de Engenharia de Recursos Naturais, Universidade do Algarve, 2009

Study of transcripts and reactive oxygen species involved in the defence responses of Quercus suber against Phytophthora cinnamomi

The present work has the merit of exploring an insight into the activation of defence genes of Quercus suber during response to infection by Phytophthora cinnamomi. Thus, cDNA-AFLP methodology was used to identify gene fragments differentially present in the mRNA profiles of host cells of micropropagated Q. suber plantlets roots infected with zoospores of P. cinnamomi at different post challenge time points. Six candidate genes were selected based on their interesting cDNA-AFLP expression patterns and homology to genes known to play a role in defence. These six genes encode a cinnamyl alcohol dehydrogenase 2 (QsCAD2), a protein disulphide isomerase (QsPDI), a CC-NBS-LRR resistance protein (QsRPc), thaumatin-like protein (QsTLP), chitinase (QsCHI) and a 1,3-beta glucanase (QsGLU). The current work has been successful in evaluation of the expression of these genes by qRT-PCR. Data analysis revealed that transcript levels of QsRPc, QsCHI, QsCAD2 and QsPDI increased during the early hours of inoculation, while transcript profiles of thaumatin-like protein showed decreasing. No expression was detected for 1,3-beta-glucanase (QsGLU). Furthermore, the choice of suitable reference genes in any new experimental system is absolutely crucial in qRT-PCR; for this reason in this study and for the first time a set of potential reference genes were analyzed and validated for qRT-PCR normalization in the patho-system Phytophthora-Q. suber. Four candidate reference genes polimerase II (QsRPII), eukaryotic translation initiation factor 5A(QsEIF-5A), b-tubulin (QsTUB) and a medium subunit family protein of Clathrin adaptor complexes (QsCACs) were evaluated to determine the most stable internal references in Q. suber. Analysis of stability of genes was carried out using Genex software. Results indicated all these four potential reference genes assumed stable expression. Data analysis revealed that QsRPII and QsCACs were the two most stable genes, while genes QsTUB and QsEIF-5A were the third and the fourth most stable gene, respectively. In this study, a plasmid-based quantitative PCR method was developed to measure P. cinnamomi colonization during infection process of Q. suber. Plasmid-based detection of P. cinnamomi showed a gradual accumulation of the pathogen DNA in cork oak root tips up to 24 h post infection. The higher increase in P. cinnamomi/plasmid DNA ratio occurred between 18 and 24 h. One of the primary objectives of this research was to study the effect of cinnamomins (elicitins secreted by P. cinnamomin) on inducing defence mechanism against the pathogen, as recent histological and ultra-structural studies showed that P. cinnamomi was restricted to the outer cortex root fragments pre-treated with capsicien and cryptogein, suggesting that elicitins can stimulate plant defence reactions against P. cinnamomi. To complement these studies and to have a clear view of the nature of the interaction, the role of cinnamomins in the production of the oxidative burst [ROS and ROS scavenging enzymes such as superoxide dismutase (SOD), catalase (CAT) and peroxidase (POD)] and in the defence responses was evaluated. Cork oak seedlings were pretreated with alpha-cinnamomin and then inoculated with P. cinnamomi mycelia. Results showed a significant higher production of reactive oxygen species (ROS) (H2O2 and O2•-) in elicitin and non-elicitin treated roots in interaction with P. cinnamomi in comparison to the corresponding control. The plant group inoculated with the pathogen after cinnamomin treatment showed an earlier increase in H2O2 production but this was lower as compared with that group inoculated with P. cinnamomi alone. Also, in elicitin pre-treated group generally, a lower level of O2•− production during infection was observed as compared with inoculated roots with P. cinnamomi alone without elicitin treatment. Furthermore, in this study, we evaluated activities of antioxidant enzymes upon challenge with P. cinnamomi, with and without pretreatment with alpha cinnamomin. Results indicated that the activities of defense enzymes POD, SOD and CAT increased after P. cinnamomi inoculation when compared with those in the control group. Also, in the group treated with alpha-cinnamomin followed by P. cinnamomi inoculation, a higher level of enzymatic activities was detected as compared with elicitin non-treated group, which suggest the protective effect of alpha-cinnamomin against the pathogen due to higher elevated levels of defense enzymes POD, SOD and CAT during the infection period. Furthermore, a sensitive qPCR method was applied to measure the pathogen biomass in elicited and non-elicited Q. suber roots challenged with P. cinnamomi to elucidate the effect of cinnamomins on the colonization of P. cinnamomi. Plasmid-based quantification of P. cinnamomi showed a significant decrease in accumulation of the pathogen DNA in cork oak roots after treatment with alpha and beta-cinnamomins which attest the role of cinnamomins in promoting defense responses in cork oak against P. cinnamomi invasion.

Adaptive Probabilistic Topic Models for Social Networks

Thesis (Master's)--University of Washington, 2012

Selecting Robust Strategies in RTS Games via Concurrent Plan Augmentation

Thesis (Master's)--University of Washington, 2015

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.

Reactive power compensation by EPSO technique

This paper presents a methodology to address reactive power compensation using Evolutionary Particle Swarm Optimization (EPSO) technique programmed in the MATLAB environment. The main objective is to find the best operation point minimizing power losses with reactive power compensation, subjected to all operational constraints, namely full AC power flow equations, active and reactive power generation constraints. The methodology has been tested with the IEEE 14 bus test system demonstrating the ability and effectiveness of the proposed approach to handle the reactive power compensation problem.

Optimal dispatch with reactive power compensation by Genetic Algorithm

This paper presents a Unit Commitment model with reactive power compensation that has been solved by Genetic Algorithm (GA) optimization techniques. The GA has been developed a computational tools programmed/coded in MATLAB. The main objective is to find the best generations scheduling whose active power losses are minimal and the reactive power to be compensated, subjected to the power system technical constraints. Those are: full AC power flow equations, active and reactive power generation constraints. All constraints that have been represented in the objective function are weighted with a penalty factors. The IEEE 14-bus system has been used as test case to demonstrate the effectiveness of the proposed algorithm. Results and conclusions are dully drawn.

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.

Nanoparticles based Permeable Reactive Barriers as an Eco-efficient Technology for nitrate remediation in soil and groundwater

The need to increase agricultural yield led, among others, to an increase in the consumption of nitrogen based fertilizers. As a consequence, there are excessive concentrations of nitrates, the most abundant of the reactive nitrogen (Nr) species, in several areas of the world. The demographic changes and projected population growth for the next decades, and the economic shifts which are already shaping the near future are powerful drivers for a further intensification in the use of fertilizers, with a predicted increase of the nitrogen loads in soils. Nitrate easily diffuses in the subsurface environments, portraying high mobility in soils. Moreover, the presence of high nitrate loads in water has the potential to cause an array of health dysfunctions, such as methemoglobinemia and several cancers. Permeable Reactive Barriers (PRB) placed strategically relatively to the nitrate source constitute an effective technology to tackle nitrate pollution. Ergo, PRB avoid various adverse impacts resulting from the displacement of reactive nitrogen downstream along water bodies. A four stages literature review was carried out in 34 databases. Initially, a set of pertinent key words were identified to perform the initial databases searches. Then, the synonyms of those initial key words were used to carry out a second set of databases searches. The third stage comprised the identification of other additional relevant terms from the research papers identified in the previous two stages. Again, databases searches were performed with this third set of key words. The final step consisted of the identification of relevant papers from the bibliography of the relevant papers identified in the previous three stages of the literature review process. The set of papers identified as relevant for in-depth analysis were assessed considering a set of relevant characterization variables.