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Abstract

This paper presents optimal preventive control actions using ant colony optimization (ACO) algorithm to mitigate the occurrence of voltage collapse in stressed power systems. The proposed objective functions are: minimizing the transmission line losses as optimal reactive power dispatch (ORPD) problem, maximizing the preventive control actions by minimizing the voltage deviation of load buses with respect to the specified bus voltages and minimizing the reactive power generation at generation buses based on control variables under voltage collapse, control and dependent variable constraints using proposed sensitivity parameters of reactive power that dependent on a modification of Fast Decoupled Power Flow (FDPF) model. The proposed preventive actions are checked for different emergency conditions while all system constraints are kept within their permissible limits. The ACO algorithm has been applied to IEEE standard 30-bus test system. The results show the capability of the proposed ACO algorithm for preparing the maximal preventive control actions to remove different emergency effects.

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results of seven regression models taking as dependent variables seven performance indices, using a dataset combining bibliometric data collected with the PoP software with cross-sectional data of 321 Quebec social scientists in Anthropology, Sociology

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Which the Dependent Variable is Based on Estimates . Political Analysis , 13 ( 4 ): 345 – 364 . Meier , S. ( 2013 ): Financial Globalization and Monetary Transmission

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strength and conditioning specialist. Statistical analyses All values are presented as mean ± standard deviation. Pre- and post-values for the dependent variables were analyzed to determine if the distributions

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, 1998–2015 ), this analysis was conducted using aggregated mean scores derived from the instruments employed. According to the continuous nature of the dependent variables, the robust maximum likelihood estimation method was employed. In Step 1, age, sex

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and dependent variables. Here, we have used this design to develop and optimize a cost effective HPLC method with a short retention time and acceptable resolution between PSS and DM, which could be used in more practical conditions

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Abstract

Let {Xn: n ≧ 1} be a sequence of dependent random variables and let {wnk: 1 ≦ kn, n ≧ 1} be a triangular array of real numbers. We prove the almost sure version of the CLT proved by Peligrad and Utev [7] for weighted partial sums of mixing and associated sequences of random variables, i.e.

limn1lognk=1n1kI(i=1kwkiXix)=12πxe12t2dta.s..

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Abstract  

Scientific, technological, and economic data are investigated for 128 countries. A stepwise regression analysis is carried out on the data, using domestic patent counts as the dependent variable. The form of the regression equations is the Cobb-Douglas production function. The analysis shows that domestic patents (as indicator of national technological capacity, and treated here as the dependent variable) are closely related to GNP (a measure of national economic size), counts of scientific publications (an indicator of scientific capacity), and counts of national patents obtained in the U.S. (a measure of world class technological capacity). Together, these three independent variables account for more than 92 percent of the variance in the dependent variable.

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to which degree the independent variables in the model affects the dependant variables by measuring their variance. The model showed sufficiently good values of R 2 and adjusted R 2 within the acceptable limits ≥0.80 [ 38 ]. The determination

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