Progressive PMU Configuration Method Based on Situation Awareness Requirements

With the growth of new energy and load volatility, distribution network faces more complex operating conditions. Real-time measurement data is needed to ensure stable operation. The phasor measurement unit (PMU) can provide high accuracy data with low latency. However, due to the high number of nodes in the distribution network, PMU cannot be configured on a large scale in short time. When configuring PMU, meeting the need for situation awareness is important than ensuring higher observability. An evaluation method of node situation awareness importance is proposed in this paper for guiding progressive PMU configuration. First, the importance of node state information for topology identification and state estimation is evaluated by light gradient boosting machine and Spearman correlation coefficient. Finally, a multi-criteria decision making method is used to evaluate the node situation awareness importance. The case study results of the IEEE 33-bus system demonstrate the feasibility of the proposed method.