The technology and functions of data fusion and image teaching are constantly improving with the development of society and are gradually produced in life in order to adapt to the progress of science and technology. Data fusion technology refers to the information processing technology that uses computer to automatically analyze and synthesize several observation information obtained in time series under certain criteria to complete the required decision-making and evaluation tasks. In this paper, the traditional teaching mode on students' learning and other aspects of help is not very obvious, and video teaching method can not only increase students' interest in learning, but also help their learning is very huge. Teaching video is to make the knowledge, skills, and other content that teachers want to impart to students into video form to assist modern multimedia teaching. In this paper, two classes with the same number and similar average test scores were selected as the experimental objects. The test results are evaluated by f-s-o algorithm, f-s-o matrix, variance proportion method, and teaching evaluation, so as to get more accurate results. In the experiment, two classes with 30 students were selected, and different teaching methods were adopted for the two classes. One class adopted the traditional teaching mode, and the other class used the video teaching method. During the 4-month experiment, there was no significant difference in test scores and comprehension between the two classes in the first month. The ratio of the two classes was 5 : 3 in the second month, 10 : 5 in the third month, and 20 : 7 in the fourth month. Through the comparative evaluation of the test results of four months, the experimental results show that the video teaching method can not only mobilize the enthusiasm of students but also plays a very important role in promoting students' performance.
The high proportion of renewable energy sources (RESs) in the system reduces the frequency support capacity and aggravates the generation of unbalanced power, while the dynamic frequency dispersion makes it difficult for a centralized energy storage system (ESS) to take into account the frequency requirements of different regions. In this context, the research takes the region with high penetration of RESs and frequent power fluctuations as the grid node of the ESS. By configuring the parameters of the ESS under the control strategy of virtual synchronous generators, the inertia and the primary frequency reserve of the system are supplemented, and the regulation characteristics of the ESS are depicted. Taking the steady-state recovery time and the amplitude coefficient as the evaluation indexes, the effects of the virtual inertia constant, the virtual damping coefficient, and the virtual frequency regulation coefficient on the behavior of the ESS are deeply analyzed. Finally, the quantitative configuration of the ESS is realized by considering the frequency response and the dynamic frequency dispersion.
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