文章基本信息

标题：Analysis of Students’ Performance in Power System Optimization Techniques: Objective Function Computing
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作者：Oana Pop ; Oana Pop ; Constantin Barbulescu 等
期刊名称：Procedia - Social and Behavioral Sciences
印刷版ISSN：1877-0428
出版年度：2015
卷号：197
页码：2271-2275
DOI：10.1016/j.sbspro.2015.07.345
语种：English
出版社：Elsevier
摘要：AbstractIn the last years, optimal power flow has attracted many researchers in terms of developing new optimisation algorithms. Currently, the mathematics model for optimal power flow analysis solved as nonlinear optimisation problems contain a large number of constraints. These can be difficult to understand and remember. It is therefore important to explain it clearly. But what is most important is to present specific examples for practical applications. The aim of this study is to analyse students’ performance and undertake concentration degree analysis in the case of solving a nonlinear programming problem. The study took place during a two hours laboratory session, and is based on solving the laboratory application. The study covers four university years. Participants are students of Politehnica University Timisoara, Romania. The information is analyzed by the authors. Participants are asked to obtain the new objective function value consisting of three computing steps. Two methods will be used by students: the Simple Gradient method and the Conjugate Gradient method. Through specific examples, the authors are presenting in detail the two methods used to perform the laboratory application. The computing volume is relatively large and requires a high degree of student concentration. This may negatively affect students’ performance. The authors recommend that students perform a preliminary study of laboratory applications and the theoretical aspect.
关键词：nonlinear optimisation problem;objective function;quadratic interpolation;gradient method ;