Statistical Analysis System of Outage Information in Distribution Network

When a fault occurs in the distribution network, the power restoration system receives the relevant data and quickly analyzes and evaluates it. After the distribution network is rebuilt to locate and isolate the fault, the network distribution constraints are operated to find the optimal solution of multiple objective functions and the best choice for power restoration. At present, most of the complete solutions adopt the traditional transformation to a single goal to solve the problem. If the implementation of the scheme is complex, the amount of data is very large, affecting the efficiency of the reconstruction model. In this paper, we use the distributed network to select the fault node of the distribution network. We consider the combination of the modified droop control coefficient with the consensus algorithm to realize the secondary optimal control of the multi-microgrid system. We also adopt the real-time dynamic data to follow the target value to ensure the power supply load’s controllable range to avoid the occurrence of regional blackouts. According to the information exchange mode between distribution network nodes and microgrids, a data analysis model of sparse communication is established to control the power output and load capacity of each node in the distribution network area. The composite Depth-First Search algorithm constructed in this paper can control the needs of multi-node energy matching service as well as the fault analysis model, thus realizing the function solution of the preferred node’s output. The simulation model’s experimental results verify that the elastic effect of the distribution network microgrid group operation mode is improved after the optimization with the security as the objective. The results also show that the theory and method in this paper are superior to the current mainstream controllable scheme because they have the advantages of short response time, strong anti-interference ability, and good noise reduction effect, supporting the emergency load’s controllable management in the distribution network.