摘要：AbstractPower flow computing and optimal power flow computing are the most used tools within the power systems field. Matrices are very often used for these kinds of analyses. Usually, sparse matrices are involved within the power systems field. Special techniques for sparse matrices’ storing and processing are applied to reduce the computing time and used memory. The sparse character of the matrices is altered once the mathematical model corresponding to the large-scale power system is solved with different numerical methods. New non-zero elements appear (replacing the old ones initially equal to zero). Thus, the computing time increases and also the necessary memory. Methods have to be developed for the optimal ordering of the power system buses. Within the paper, the authors will present several of our own developed methods to solve this problem, in a tutorial manner, followed by examples. These methods were presented to the students, who were asked to apply them to several case studies. The teacher analyzed their attention span and degree of concentration. For the examples stage, students were involved within the teaching process. Following this, they were requested to solve different case studies in small teams. The overall results were analyzed.
