Multidimensional Intelligent Distribution Network Load Analysis and Forecasting Management System Based on Multidata Fusion Technology

Abstract

In order to improve the work efficiency of load characteristic analysis and realize lean management, scientific prediction, and reasonable planning of the distribution networks, this paper develops a multidimensional intelligent distribution network load analysis and prediction management system based on the fusion of multidimensional data for the application of multidimensional big data in the smart distribution network. First, the framework of the software system is designed, and the functional modules for multidimensional load characteristic analysis are designed. Then, the method of multidimensional user load characterization is introduced; furthermore, the application functions and the design process of some important function modules of the software system are introduced. Finally, an application example of the multidimensional user load characterization system is presented. Overall, the developed system has the features of interoperability of data links between functional modules, information support between different functions, and modular design concept, which can meet the daily application requirements of power grid enterprises and can respond quickly to the issued calculation requirements.

Design of Online Intelligent Detection System for Power Quality and Fault Identification in Distribution Networks

“…On the one hand, in order allows the user to get a high-quality power supply when using sensitive loads, and on the other hand, in order to prevents the user from using high power and nonlinear loads, which cause various power quality problems to be fed back to the grid side. In order to solve the power quality and fault discrimination problems, an online intelligent detection system is designed in this paper, and the application of this system is very helpful in improving the reliability of the power supply [5][6].…”