Fault Self Adjustment Method for Active Distribution Network Under Hierarchical Structure and Multi-Agent
In order to achieve rapid fault localization and self adjustment,and ensure the safe and stable operation of the distribution network,research on active distribution network fault self adjustment methods has been carried out under hierarchical structure and multi-agent.Firstly,select the BA20 AI/V model sensor and deploy it at key locations in the active distribution network to collect operational information of the distribution network.Secondly,fault detection and localization should be carried out on active distribution networks with abnormal operating conditions to determine the fault location.On this basis,develop a fault self adjustment strategy that is highly compatible with the operating conditions and characteristics of the active distribution network,and execute corresponding fault self adjustment commands.The results show that after applying the proposed self adjustment method,the power supply of the distribution network has been restored to over 95%,and it can basically achieve the restoration of power supply for all loads.The network loss is small,the fault recovery time is short,and the normal operation of the active distribution network can be restored in a short time,achieving the goal of fast self adjustment for faults.
hierarchicalstructuremulti-agentactive distribution networkfaultself adjustment
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