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8. The Loss of Hydrophobicity of HTV Silicone Rubber in a Dynamic Drop Test

Author

Ilhan, Suat, Tuzun, Didem, Ozdemir, Aydogan, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, and Németh, Bálint, editor

Published
2020
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43. Post-outage reactive power flow calculations by genetic algorithms: constrained optimization approach

Author

Ozdemir, Aydogan, Lim, Jae Yun, and Singh, Chanan

Subjects
Genetic research -- Comparative analysis, Algorithms -- Comparative analysis, Algorithm, Business, Electronics, Electronics and electrical industries
Abstract

This paper presents genetic algorithm-based post-outage voltage and reactive power calculations for transmission line and transformer outages. Deficiencies of the traditional sensitivity-based (linear) methods are overcome by formulation of a line outage as nonlinear constrained optimization problem for a bounded network. The proposed optimization problem is later solved for bounded network variables by genetic algorithms. The accuracy of the method is tested on IEEE 14-bus and IEEE 57-bus test systems. Simulation results are compared both with the results of a full power flow study and with the results of the papers presented in the literature. The results have shown that the proposed method improves the accuracy of post-outage voltage and reactive power values with less computational effort. Index Terms--Bounded network, constrained optimization, genetic algorithms (GAs), line outage, reactive power distribution factors.

Published
2005

48. Branch outage simulation for MVAR flows: bounded network solution

Author

Ozdemir, Aydogan, Lim, Jae Yun, and Singh, Chanan

Subjects
Electric power transmission -- Research, Business, Electronics, Electronics and electrical industries
Abstract

Almost all of the methods developed thus far to calculate the post outage quantities in an electric power system use linear models for the sake of computational efficiency. Linear models, however, may cause relatively large computational errors especially for reactive power flows. This paper presents a new line outage simulation method for reactive power flows that minimizes the errors resulting from the use of linear system models. The proposed method formulates a line outage as a local nonlinear constrained optimization problem. Optimization is used as a feedback to correct the errors resulting from linearized equations. The method provides more accurate calculation of post-outage load bus voltage magnitudes with less computational effort. The method is applied to IEEE test systems and the results are compared with those obtained using the full power flow. Index Terms--Optimization methods, power system control, power system modeling, power system security.

Published
2003

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