Methods Comparison For Load Sensitivity Identification

The increase in renewable power generation leads to the need for more controllability on the load side. Integrating power electronics devices, like Smart Transformers, brings more flexibility to the modern network. Demand-side management has large potential, but the lack of grid information limits the realization of precise control. A method has been proposed to identify the load power-to-voltage and power-to-frequency sensitivity in real-time. This approach estimates the current load dependency on voltage or frequency by linearizing the exponential load model. Non-linear equations can also be solved with an iterative algorithm, finding the most suitable parameter values after a few calculation loops. In this work, the on-line load sensitivity identification method is compared with an iterative approach based on the Newton algorithm, calculating the load sensitivity. The variance in the distribution of load sensitivity identification results is studied, which is an important feature of precision. The reliability and accuracy of the results are also analyzed, using the calculated parameters to reconstruct the power signals, which are compared to the power measurements.