Model-Free Coordinated Optimization of IBR Controllers for Enhanced Grid-Level Transient Dynamic Performance

TL;DR

This paper introduces a simulation-based, model-free framework using a novel optimization algorithm to coordinate IBR controllers for improved grid transient stability, bypassing the need for explicit system models.

Contribution

It proposes a new model-free, simulation-based optimization method with a specialized algorithm for coordinated IBR control tuning to enhance grid transient performance.

Findings

Effective in improving grid transient frequency response under large disturbances.

Eliminates reliance on simplified or linearized system models.

Demonstrates success through extensive simulations.

Abstract

With the increasing penetration of inverter-based resources (IBRs) in power grids, system-level coordinated optimization of IBR controllers has become increasingly important for maintaining overall system stability. Unlike most existing methods that rely on simplified or linearized dynamic models and focus on small-signal stability or isolated tuning of individual facilities, this paper proposes a novel simulation-based, model-free framework for the coordinated optimization of IBR control parameters to enhance grid transient dynamic performance. The framework uses a high-fidelity power system simulator to accurately evaluate grid transient dynamic responses, and a projected multi-point zeroth-order optimization algorithm with adaptive moment estimation, termed PMZO-Adam, is proposed to solve the problem in a model-free manner, thus eliminating the need for explicit mathematical models of complex nonlinear system dynamics. The proposed framework enables direct optimization of grid transient dynamic behavior and system-wide coordinated tuning of IBR controllers. Extensive simulations demonstrate the effectiveness of the proposed approach in optimizing IBR control parameters to improve grid transient frequency response under large disturbances.