Applied Mathematics and Nonlinear Sciences (Jan 2024)
Demonstration Application of Adaptive Intelligent Monitoring and Analyzing System for Distribution Networks Based on Distribution OCS System and Multiple Data Fusion
Abstract
Electricity is a matter of national livelihood, and monitoring the operation status of the distribution network is an effective means to improve the quality of electricity service. In this paper, we design a distribution network intelligent monitoring and analysis system based on the distribution network OCS system, so as to realize real-time monitoring of the operation status of the distribution network. The system processes the collected three-phase current, three-phase voltage, and other multivariate data through the multivariate data fusion processing technology and adopts the adaptive weighted fusion algorithm based on the t-test criterion to eliminate the coarse error values and enhance the data fusion effect. The software and hardware facilities of the distribution network intelligent monitoring and analyzing system are designed with the distribution network OCS system as the core, and the functional modules such as power data calculation, reactive power compensation, and intelligent protection are designed according to the requirements of practical applications. In practical application, the intelligent monitoring and analysis system for distribution networks described in this paper can successfully monitor electricity load, reactive power compensation, and other conditions in the townships in area A. The system can be successfully used to monitor the electricity load and reactive power compensation of the townships in area A. After the application of the system, it accurately determined 10 faults, promptly located the fault points, and isolated the faults automatically. The cost saving of only part of the project after the use of the system amounted to RMB 912,100, and at the same time, it greatly improved the satisfaction level of the users in the distribution network.
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