A Trajectory Sensitivity-Based Stability Mapping for Optimal Grid Integration of Wind Farms into Low-Inertia Hybrid Power Systems
Year: 2026
Type: article
Abstract: The rapid transition toward inverter-based resources, particularly Doubly-Fed Induction Generator wind farms, necessitates advanced tools for transient stability assessment in low-inertia grids. Traditional methods like Critical Clearing Time (CCT) and Transient Energy Functions (TEF) are either computationally prohibitive or lack granular insights for system planning. This paper presents a multi-parameter trajectory sensitivity analysis (TSA) framework for stability mapping and fast transient stability assessment in DFIG-integrated low-inertia hybrid power systems. The proposed method evaluates the sensitivity of state trajectories with respect to variations in system inertia, wind penetration, disturbance parameters, and network topology. By organizing these sensitivities into a formal multi-parameter TSA, a structured stability map is constructed to identify critical operating regions. Furthermore, correlation analysis of the sensitivity responses is employed to reveal dynamic similarity patterns among system components. The framework is implemented on a modified IEEE 9-bus system, transformed into a hybrid testbed with DFIG penetration levels up to 40%. Three integration archetypes are investigated: wind capacity addition, synchronous generator retirement, and geographically dispersed wind siting. This research provides a computationally efficient tool for rapid operational assessment of wind integration scenarios, bridging the gap between offline simulation and online decision support in renewable-rich power networks.
Author: Solat, Alireza
Institution: Islamic Azad University Saveh
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7219102454