A Study on Outage Analysis of Distribution Networks with DG Based on Knowledge Graph and Optimized Greedy Algorithm

With the increasing scale of distribution networks, the grid-connected operation of multiple energy sources and the uneven quality of energy sources make the structure of distribution networks complex and fragile, increasing the possibility of sudden power outages. Therefore, it is necessary to analyze distribution network outages to improve power supply reliability in distribution networks. Firstly, based on Knowledge Graph technology, which is good at analyzing the relationships between entities, this paper adopts Knowledge Graph technology to analyze the topological relationships of entities in the distribution networks. Secondly, the article describes the types of outage events in distribution networks and proposes the evaluation indexes for evaluating the impact of outage events. Finally, analogous to the backpack problem, the article constructs a distribution grid outage model considering DG and proposes an Optimized Greedy Algorithm for solving distribution grid outage analysis considering DG. Through the PG&E69 simulation example, the article verifies the analysis of the topological connectivity relationship of entities based on the Knowledge Graph and the Optimized Greedy Algorithm to be practical and real-time in the outage analysis considering DG.