A Multi-scenario Modeling Method for Power System Planning Based on Improved K-Means Aggregation Algorithm

With the rapid development of the scale and renewable penetrations of the modern power system, traditional power system planning, and operation techniques cannot balance the computational load and accuracy. This paper, to effectively analyze the massive power system data, proposes a systematic multi-scenario modeling method for power system planning based on data mining techniques. The typical scenario set for planning and operation is generated and cut through the improved K-means aggregation algorithm that is firstly developed in the paper. A real-world provincial power system in China is served to validate the proposed multi-scenario modeling method.