Along with the increasing scale of the power system and stressed operation in the transmission network, the stability margin is reduced considerably. As a traditional solution, the constructions of new transmission lines and generators sometimes are constrained by local environmental and regulatory constraints. Another characteristic of a modern network is the higher number of transmission inter-connections which appear in the large-scale power system. As an economic benefit, inter-connection can reduce the cost of electricity and enhance system reliability [1]. Those inter-connected tie lines are operated normally under heavy flow to maximize the usage benefit. This characteristic contributes to the complexity of operating and controlling the system. In recent years, along with the development of power electronic devices, the Flexible AC Transmission Systems (FACTS) has been used in the system as an alternative solution. It can maximize the usage benefit of the HV transmission line and make the large-scale power system more controllable. By using FACTS devices, the system can survive serious system contingencies with real-time control action, instead of providing a large steady state stability margin. Therefore, the system transfer capacity can be significantly increased. Electromechanical oscillations are observed in today's power system; such oscillations are recognized as a major concern in power system operation. Once begun, the oscillations may continue for a while before being halted by the damping torque from the system, or they may continue to grow (inadequate damping) and eventually cause system instability by losing synchronicity. The traditional and widely applied solution for oscillation damping is the Power System Stabilizer (PSS), which is efficient in damping local mode oscillation and inter-area oscillation in certain conditions. In recent years, research and development of the application of FACTS devices in suppressing system oscillations, especially for inter-area mode oscillation damping, has attracted increasing interest [1]. The primary objective of this thesis is to design robust FACTS controllers for enhancing power system dynamic stability by damping low frequency electromechanical oscillations. Recently, various nonlinear control techniques have been applied in power system control. The performance of nonlinear controllers is influenced by the parameter uncertainty and external disturbance. This thesis will present a novel approach of a robust Variable Structure Control (VSC)-based FACTS controller for damping multi-mode oscillations. Robust performances of the proposed controllers in different power systems are demonstrated by computer simulation.

In this work we investigate the use of perfect sampling methods within the context of Bayesian linear regression. We focus on inference problems related to the marginal posterior model probabilities. Model averaged inference for the response and Bayesian variable selection are considered. Perfect sampling is an alternate form of Markov chain Monte Carlo that generates exact sample points from the posterior of interest. This approach removes the need for burn-in assessment faced by traditional MCMC methods. For model averaged inference, we find the monotone Gibbs coupling from the past (CFTP) algorithm is the preferred choice. This requires the predictor matrix be orthogonal, preventing variable selection, but allowing model averaging for prediction of the response. Exploring choices of priors for the parameters in the Bayesian linear model, we investigate sufficiency for monotonicity assuming Gaussian errors. We discover that a number of other sufficient conditions exist, besides an orthogonal predictor matrix, for the construction of a monotone Gibbs Markov chain. Requiring an orthogonal predictor matrix, we investigate new methods of orthogonalizing the original predictor matrix. We find that a new method using the modified Gram-Schmidt orthogonalization procedure performs comparably with existing transformation methods, such as generalized principal components. Accounting for the effect of using an orthogonal predictor matrix, we discover that inference using model averaging for in-sample prediction of the response is comparable between the original and orthogonal predictor matrix. The Gibbs sampler is then investigated for sampling when using the original predictor matrix and the orthogonal predictor matrix. We find that a hybrid method, using a standard Gibbs sampler on the orthogonal space in conjunction with the monotone CFTP Gibbs sampler, provides the fastest computation and convergence to the posterior distribution. We conclude the hybrid approach should be used when the monotone Gibbs CFTP sampler becomes impractical, due to large backwards coupling times. We demonstrate large backwards coupling times occur when the sample size is close to the number of predictors, or when hyper-parameter choices increase model competition. The monotone Gibbs CFTP sampler should be taken advantage of when the backwards coupling time is small. For the problem of variable selection we turn to the exact version of the independent Metropolis-Hastings (IMH) algorithm. We reiterate the notion that the exact IMH sampler is redundant, being a needlessly complicated rejection sampler. We then determine a rejection sampler is feasible for variable selection when the sample size is close to the number of predictors and using Zellner’s prior with a small value for the hyper-parameter c. Finally, we use the example of simulating from the posterior of c conditional on a model to demonstrate how the use of an exact IMH view-point clarifies how the rejection sampler can be adapted to improve efficiency.

Diss. (sammanfattning) Stockholm : Karol. inst., 2004. / Härtill 5 uppsatser.

Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.

Thèse (Ph. D.)--Université Laval, 2008. / Titre de l'écran-titre (visionné le 9 mai 2008). Bibliogr.

Universiẗat, Diss., 2004--München.

Universiẗat, Diss., 2001--Heidelberg.

This dissertation both theoretically and empirically examines the relationship between health and wealth, using proxies for health and wealth that are standard in the economics literature. We first model the endogenous interactions between life expectancy and income by modifying a standard overlapping generation model to allow individuals to directly choose their own longevity. The model displays a positive feedback between life expectancy and income that generates multiple stable equilibria. The worse equilibrium is a “poverty-trap” in which poverty and low longevity reinforce each other. The second portion of the dissertation is empirical. We first show that income has statistically significant effects on various proxies for health. The results are robust to different ways of controlling for the endogeneity of income: both instrumental variable estimation with external instruments and also generalized method of moments estimation when internal instruments are applied. We next directly test for the causal relationship between income and various proxies for health using three panel Granger causality tests. Evidence is found to support the existence of a bi-directional causal link. Sensitivity tests further suggest that middle-income countries play a more important role than low-income countries in explaining the overall wealth-health causality.

Η μείωση της κατανάλωσης ισχύος αποτελεί το πιο σημαντικό πρόβλημα στα ψηφιακά ηλεκτρονικά κυκλώματα. Διάφορες μέθοδοι έχουν προταθεί, μεταξύ αυτών η χρήση επεξεργαστών δυναμικά μεταβαλλόμενου μήκους λέξης. Με αυτόν τον τρόπο, στους υπολογισμούς που απαιτείται μέγιστη ακρίβεια ο επεξεργαστής μπορεί να χρησιμοποιεί το μέγιστο δυνατό μήκος λέξης, ενώ σε αυτούς που η χαμηλή κατανάλωση ισχύος είναι ο κύριος στόχος μπορεί να χρησιμοποιεί μικρότερο μήκος λέξης. Τέτοιες απαιτήσεις συναντούνται συχνά σε εφαρμογές ψηφιακής επεξεργασίας σήματος, όπως για παράδειγμα στην κωδικοποίηση εικόνας. Για το λόγο αυτό μελετήθηκε ο αντίστροφος διακριτός μετασχηματισμός συνημιτόνου, ο οποίος αποτελεί το πιο ενεργοβόρο κομμάτι στην κωδικοποίηση εικόνας και η σχέση της ακρίβειάς του με το μήκος λέξης του επεξεργαστή. Στη συνέχεια κατασκευάστηκαν οι δομικές μονάδες για τις αριθμητικές πράξεις του επεξεργαστή, αθροιστές, αφαιρέτες και πολλαπλασιαστές με δύο διαφορετικά μήκη λέξης και τέλος οι υπόλοιπες μονάδες του. Τα αποτελέσματα της σύνθεσής του δείχνουν ότι απαιτεί περισσότερες πύλες για την κατασκευή του από έναν αντίστοιχο σταθερού μήκους, όμως προσφέρει πολλά πλεονεκτήματα στη μείωση της κατανάλωσης. / Power saving is today's most important problem in digital circuits. Several methods have been proposed, including the use of a dynamically changing processor wordlength. With the adoption of this technique, calculations requiring maximum accuracy would use the maximum processor wordlength, while in those where low power is the main target a smaller wordlength could be used. Such requirements are frequently found in digital signal processing applications, such as image coding. Consequently, this diploma thesis studies the inverse discrete cosine transform, which is the most power-intensive part in image coding and the relation of its accuracy to the processor wordlength. After that, the structure of the blocks of the arithmetic and logic unit is explained, in order for the adders, subtracters and multipliers to be constructed with two different wordlengths and finally the remaining units of the processor are designed. The synthesis results show that this processor requires more gates. On the other hand, it offers many advantages in static and dynamic power reduction.

Previous empirical research on variable pay systems have suggested that possible gains can come from paying for performance, but highlight the difficulty firms face in measuring performance. Using contracts signed in Major League Baseball’s free agent market, I find that over the 2010-2014 period, teams utilized variable pay schemes with players that were more productive or signaled greater risk, either in their contract terms or via overspecialization. However, not all forms of risk signaling were correlated with greater use of performance incentives, including age and proxies for injury history. These findings have significant implications for labor practices more broadly, as the high-information environment of Major League Baseball can shed light on how principals behave when performance measurement costs are effectively eliminated.