Two-level Optimal Dispatching Method of Active Distribution Network Based on Cloud Edge Collaboration

Abstract

The development process of cities all over the country is progressing constantly, and people's use of resources is also increasing. More importantly, China has a clear goal of energy conservation and emission reduction and a deadline for completion. The application of clean energy is increasing, and effective energy dispatching measures will also be essential. The resource use and resource scheduling scheme selection brought by the transfer volume of urban rail transit need to be improved, and the coordinated use of energy using its non-linear data prediction method will be improved. The load of the power system is becoming heavier and heavier, and the popularity of the new energy concept is growing. More people use electricity, resulting in the high load operation of the power system. The cloud edge collaborative active distribution network two-level optimal scheduling scheme can effectively solve this problem. In this study, the traffic power consumption data of urban public transport converted into volume driven traffic power is nonlinear predicted. Several different nonlinear prediction methods are used and the relationship between the prediction results and the actual results is compared. Then a new traffic power dispatching scheme is proposed. Different nonlinear prediction models are used for urban power system loads to obtain corresponding results, which will be the most widely used the more accurate model is used in the subsequent cloud edge collaboration research. Finally, the active distribution network two-level optimization scheme of cloud edge collaboration is used to explain the urban power system scheduling. The research results show that the two-layer design after the combination of cloud edge collaboration technology and active distribution network can fit with the actual situation. The nonlinear prediction method is used to join the urban power system call prediction driven by urban public transport transfer volume, which can complete the power transfer according to the actual traffic situation. The integration of cloud edge collaboration technology and active distribution network two-layer design scheme can solve the problem of related data analysis results in urban distribution network, It can reasonably mobilize power resources and complete the task of resource redistribution. The exchange setting between the improved nonlinear prediction model and the power system can reasonably predict the results. In this process, the development of cloud edge collaboration technology has contributed greatly. In future research, the combination of cloud edge collaboration technology and research technology in other fields will be the key task of data development and use. In order to better serve the public and meet the needs of the people, technical measures need to be improved and more high-tech technologies need to be combined to complete the innovation of the industry.