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Fault isolation and reconfiguration are very important aspects of distribution network automation. When there is a fault in the distribution system, the loads connected with the fault zone should be separated and the operation pattern can be found by changing the status of the section switches or contact switches. A method of using different fault isolation and reconfiguration measures to deal with different zone faults is proposed. Different coding methods for different zone faults are introduced. Particle Swarm Optimization (PSO) algorithm is used to find the optimal result of the switch status. A distribution network in Dezhou grid in Shandong province is simulated with MATLAB and simulation results verify the effectiveness of the proposed method.

With large centralized photovoltaic (PV) power stations connected to the grid, its effects on the distribution networks cannot be ignored. The mathematical model of a photovoltaic power station was built and the power outputs of this model with the changes of illumination were simulated. One photovoltaic power station and one reactive power compensation capacitor were accessed to IEEE 30-node network. The voltages of generators, location and capacity of the PV power station and reactive power compensation capacitor are regarded as controllable variables. A hybrid intelligent algorithm (HGPSO) combining GA and PSO was applied to optimize the reactive power and voltage of the IEEE 30-node network and an optimal power flow distribution and the minimum network losses are realized.

Sport Statistics is an important applied subject in physical education field. Traditional teaching cannot meet its teaching demand. As a result, teachers are difficult in teaching and students are difficult in learning. Thus, it is very necessary to combine Sport Statistics with network teaching. In this study, the students of sports specialty were chosen as the objects of study, and “double-subject” teaching mode was used to teach Sport Statistics. Sport Statistics was combined with network course, and a new Web-based online courseware making platform system was applied. Besides, a network course quality evaluation model was constructed, and the evaluation was conducted from 7 aspects: teaching content U1, teaching design U2, course resource U3, page design U4, technical force U5, teacher as the subject U6 and user experience U7. It is found that “double-subject” teaching mode can significantly improve the teaching effect of Sport Statistics, motivate students’ learning interest, promote students’ oral expression ability, generalization and summarization ability, and self-learning ability, and enhance students’ ability to analyze and solve problems.