Evaluation of the impact of distributed synchronous generation on the stochastic estimation of financial costs of voltage sags

Abstract: Power system faults can cause voltage sags that, if they are less than voltage sensitivity threshold of equipment, can lead to interruption of supply and lead to incurring of financial losses. The impact of distributed generation (DG) on these financial losses is investigated in this work. Using the method of fault positions, a stochastic approach to determine voltage sag performance, profiles of magnitudes of remaining voltages at a monitoring point for faults occurring along lines in the network is developed. It follows that an expected number of critical voltage sags at a monitoring point is calculated and the expected cost of these sags is derived for various voltage sensitivity threshold limits. An illustrative study is carried out comparing the expected costs of voltage sags for a network without DG with a DG case, for various mixes of customers. It is shown that in the presence of DG, the expected costs of voltage sags are lesser for all voltage sensitivity criteria assumed and for all customer mixes. The study demonstrates that the impact of incorporating DG sources results in a reduction in the expected cost of voltage sags

Conformational spread as a mechanism for cooperativity in the bacterial flagellar switch

The bacterial flagellar switch that controls the direction of flagellar rotation during chemotaxis has a highly cooperative response. This has previously been understood in terms of the classic two-state, concerted model of allosteric regulation. Here, we used high-resolution optical microscopy to observe switching of single motors and uncover the stochastic multistate nature of the switch. Our observations are in detailed quantitative agreement with a recent general model of allosteric cooperativity that exhibits conformational spread—the stochastic growth and shrinkage of domains of adjacent subunits sharing a particular conformational state. We expect that conformational spread will be important in explaining cooperativity in other large signaling complexes

27. Time factor in postoperative radiotherapy for squamous cell head and neck cancer; a multivariate locoregional control analysis in 942 patients

PurposeTo analyze the influence of overall radiation treatment time and duration of the interval surgery-radiotherapy on local tumor control (LTC) in postoperative radiotherapy (PRT) for squamous cell head and neck cancer (SCHNC).Material/methodsA multivariate Cox proportional hazard regression analysis included 942 patients with locally advanced SCHNC. Mean total radiation dose, dose per fraction, treatment time, and the interval surgery-PRT were 62,5 Gy, 2,1 Gy, 46 days, and 62 days respectively. No interruptions during PRT (except for weekend brakes) appeared in 29% of patients, while 28% had more than 5 days of gap. The data were grouped into seven categories depending on the position of gap (weeks 1–7).ResultsIncrease in treatment gaps, the presence of tumor recurrence after surgery, N stage, and extra-laryngeal site of cancer were significantly related to decrease in LTC. The duration of time interval surgery-PRT had only marginal significance for LTC. Other variables did not appear significant. Consideration of seven time intervals for treatment gaps in the multivariate model has shown a significant progressive increase in the hazard of recurrence for gaps in the respective weeks 1 to 7.ConclusionsThis analysis shows a detrimental effect of interruptions during PRT, and only marginal decrease in LTC from the extension of the interval surgery-PRT. Therefore it seems unjustified to rush with PRT at the expense of possible increase in radiation treatment gaps. However, excessive delays in initiating PRT should be avoided, since they may lead to a recurrence prior to irradiation

The impact of a sugar-sweetened beverages tax on oral health and costs of dental care in Australia

Despite a clear causal link between frequent consumption of sugar-sweetened beverages (SSBs) and dental disease, little is known about the implications of a tax on SSBs in the context of oral health. The aim of our study was to estimate the impacts of a SSB tax on the Australian population in the context of oral health outcomes, dental care utilisation and associated costs. We designed a cohort model that accounted for the consequences of the tax through the mechanisms of consumer response to price increase, the effect on oral health due to change in sugar intake, and the implications for dental care use. Our results indicate that in the adult population an ad valorem tax of 20% would lead to a reduction in decayed, missing and filled teeth (DMFT) by 3.9 million units over 10 years, resulting in cost savings of A$666 million. Scenario analyses show that the outcomes are sensitive to the choice of the time horizon, tax rate, price elasticity of demand for SSBs, and the definition of target population. We found that the total and per-person consequences of SSB tax were considerable, both in terms of dental caries (tooth decay) averted and dental care avoided. These results have to be compounded with the implications of SSB tax for other aspects of health and health care, especially in the context of chronic diseases. On the other hand, the improved outcomes have to be weighted against a welfare loss associated with introducing a tax

Asset Management in Volatile Markets

The 27th SUERF Colloquium in Munich in June 2008: New Trends in Asset Management: Exploring the Implications was already topical in the Summer of 2008. The subsequent dramatic events in the Autumn of 2008 made the presentations in Munich even more relevant to investors and bankers that want to understand what happens in their investment universe. In the present SUERF Study, we have collected a sample of outstanding colloquium contributions under the fitting headline: Asset Management in Volatile Markets.derivatives, financial innovation, asset management, finance-growth-nexus; Relative Value Strategy, Pair Trading, Slippage, Implementation Shortfall, Asset Management, Fin4Cast

Electron spin relaxation can enhance the performance of a cryptochrome-based magnetic compass sensor

The radical pair model of the avian magnetoreceptor relies on long‐lived electron spin coherence. Dephasing, resulting from interactions of the spins with their fluctuating environment, is generally assumed to degrade the sensitivity of this compass to the direction of the Earth's magnetic field. Here we argue that certain spin relaxation mechanisms can enhance its performance. We focus on the flavin‐tryptophan radical pair in cryptochrome, currently the only candidate magnetoreceptor molecule. Correlation functions for fluctuations in the distance between the two radicals in Arabidopsis thaliana cryptochrome 1 were obtained from molecular dynamics simulations and used to calculate the spin relaxation caused by modulation of the exchange and dipolar interactions. We find that intermediate spin relaxation rates afford substantial enhancements in the sensitivity of the reaction yields to an Earth‐strength magnetic field. Supported by calculations using toy radical pair models, we argue that these enhancements could be consistent with the molecular dynamics and magnetic interactions in avian cryptochromes

Requirements modelling and formal analysis using graph operations

The increasing complexity of enterprise systems requires a more advanced analysis of the representation of services expected than is currently possible. Consequently, the specification stage, which could be facilitated by formal verification, becomes very important to the system life-cycle. This paper presents a formal modelling approach, which may be used in order to better represent the reality of the system and to verify the awaited or existing system’s properties, taking into account the environmental characteristics. For that, we firstly propose a formalization process based upon properties specification, and secondly we use Conceptual Graphs operations to develop reasoning mechanisms of verifying requirements statements. The graphic visualization of these reasoning enables us to correctly capture the system specifications by making it easier to determine if desired properties hold. It is applied to the field of Enterprise modelling

Steps in the bacterial flagellar motor

The bacterial flagellar motor is a highly efficient rotary machine used by many bacteria to propel themselves. It has recently been shown that at low speeds its rotation proceeds in steps [Sowa et al. (2005) Nature 437, 916--919]. Here we propose a simple physical model that accounts for this stepping behavior as a random walk in a tilted corrugated potential that combines torque and contact forces. We argue that the absolute angular position of the rotor is crucial for understanding step properties, and show this hypothesis to be consistent with the available data, in particular the observation that backward steps are smaller on average than forward steps. Our model also predicts a sublinear torque-speed relationship at low torque, and a peak in rotor diffusion as a function of torque