امین داداش زاده

In recent years, climate change and increasing occurrence rate of high-impact rare (HR) natural events such as hurricanes have made it difficult to supply uninterrupted power to end-user customers. The extensive geographic area of electric distribution networks, as the last ring of the energy supply chain in power systems, has increased the vulnerability of these networks against natural events. Thus, distribution companies are inevitably inclined to implement some measures to improve the resilience of the associated network. Considering budget limitations, adopting optimal measures among a set of candidate solutions is a major challenge for distribution networks. A new method is presented in this paper to prioritize the resilience enhancement measures for distribution networks. In this regard, a set of candidate measures is first defined so as to improve the resilience of the distribution network against an HR event. Then, the candidate measures are ranked by the benefit to cost ratio (BCR) index which is calculated by dividing the relative resilience improvement to relative implementation cost for each measure. The proposed method was examined on the IEEE 33-bus test distribution network using MATLAB software. Numerical results verified the efficacy of the proposed method.

The present study was conducted to analyze the content of the biology textbook of the high school gade 10 in the academic year 1969-97 in terms of being active and inactive based on William Rumi method. The statistical population was the entire content of biology textbook in high school grade 10 including its text, pictures and questions. In this research, sampling was not used, so all the pages of the book were examined. In the book's compilation, periodic exercises, questions at the end of the chapters are exempted. Therefore, the questions in the text were examined in the content section. According to the findings of the study, the determination of the conflictf coefficients (0.19 ),( 0.06) for the text and the images ,respectively show that both the text and the images are inactive. Also, the comparison between animal and plant chapters content indicates that both sections are written inactively and the rate of inactivness in animal subjects is higher.