Event-Based Dynamic Response Modeling of Large Behind-the-Meter Solar Farms: A Data-Driven Method Based on Real-World Data.

The dynamic behavior of a 4.3 MW behind-themeter solar farm in California is modeled in response to gridinduced disturbances using data-driven techniques. The proposed modeling approach is data-driven and works solely based on the micro-PMU measurements at the solar farm's point of interconnection with the power. Accordingly, the proposed approach does not require any prior knowledge about the physical elements inside the solar farm. This allows applying the proposed methods to existing solar installations by the grid operators. Three methods are proposed based creating libraries of regression models and examining the similarities across recorded events and disturbances. The performance of the proposed methods are demonstrated by using real measurements and case studies.