Dynamic identification of key nodes in active distribution network for operation optimisation requirements

Accurate and dynamic identification of key nodes that can efficiently improve the safety and economy of active distribution network (ADN) is of great significance for optimising the operation level of ADN with time-varying characteristics. In this study, a dynamic identification method for the key nodes of ADN operation optimisation requirements is proposed. Firstly, considering the influence of nodes on ADN operation performance, the importance of nodes in the network structure, and the controllable potential of nodes, a multi-angle key node identification index system is constructed. Secondly, considering the influence of the ADN operation state on node importance, the classification boundary of ADN operation state was set to determine the operation state of the ADN at different times. Thirdly, the order relation analysis method and variation coefficient method were used to comprehensively evaluate the key nodes of the ADN under different operating states. Finally, the technique for order preference by similarity to an ideal solution is used to sort the comprehensive evaluation results of key nodes to achieve the effective identification of key nodes. The effectiveness and feasibility of the proposed method are verified on 33-bus and 118-bus test systems considering the time sequence variation in distributed generation and load.

Automated summary

This study proposes a dynamic method for identifying key nodes in ADN, which considers multiple perspectives, such as the influence on ADN performance, the importance in the network structure, and the controllable potential of nodes. The effectiveness of the method is verified on test systems with time sequence variation.