Integration of Renewable Generators in Synthetic Electric Grids for Dynamic Analysis

TL;DR

This paper introduces an automated method for integrating renewable generator models into synthetic electric grids, enhancing dynamic analysis accuracy through realistic modeling and control strategy testing.

Contribution

It proposes an automated process for assigning dynamic models to renewable generators in synthetic grids based on real data, improving the realism of stability assessments.

Findings

Realistic model assignment improves dynamic simulation accuracy.

Control strategies significantly affect stability outcomes.

Synthetic test cases effectively demonstrate model performance.

Abstract

This paper presents a method to better integrate dynamic models for renewable resources into synthetic electric grids. An automated dynamic models assignment process is proposed for wind and solar generators. A realistic composition ratio for different types of wind turbine generators (WTG) is assigned to each wind generator. Statistics summarized from real electric grid data form the bases in assigning proper models with reasonable parameters to each WTG. A similar process is used to assign appropriate models and parameters to each photovoltaic (PV) generator. Multiple control strategies of the renewable resources are considered and tested in case studies. Two large-scale synthetic network test cases are used as examples of modeling the dynamics of renewable generators. Several transient stability metrics are adopted to assess the stability level after being subject to N-1 contingency event. Representative contingency events are given to demonstrate the performance of the synthetic renewable generator models.