Method to Build Equivalent Models of Microgrids for RMS Dynamic Simulation of Power Systems

TL;DR

This paper presents a gray-box method utilizing trajectory sensitivity analysis and evolutionary algorithms to develop accurate equivalent models of active distribution networks for RMS dynamic simulation of power systems.

Contribution

It introduces a novel approach combining sensitivity analysis and evolutionary algorithms to efficiently tune equivalent models of distribution networks based on measured data.

Findings

Sensitivity analysis improves parameter estimation accuracy.

The method enhances the quality of active distribution network models.

Efficient tuning of models is achieved through focused parameter selection.

Abstract

The high penetration of distributed renewable energy resources in power systems has changed their dynamic behavior, not only at the distribution level but also at the transmission levels. For analyses performed in this new reality of interconnected systems, a suitable equivalent model is required to represent the active dynamics of distribution systems. In this context, this paper proposes the application of a gray-box method to obtain an appropriate equivalent model for active distribution networks. From data measured at the point of common coupling, a trajectory sensitivity analysis is carried out to select the most important parameters of this equivalent model, which are then estimated by an evolutionary algorithm. The results show that the application of the sensitivity analysis can improve the quality of the parameter estimation process (since it focuses only on relevant parameters), enabling an efficient tuning of an equivalent ADN model.