Dynamic Damping of Power Oscillations in High-Renewable-Penetration Grids with FFT-Enabled POD-P Controllers
Source abstract
Abstract
The growing integration of renewable energy sources, particularly photovoltaic (PV) and wind power, presents challenges such as reduced system inertia and increased susceptibility to inter-area oscillations. These issues, coupled with stricter regulatory demands for grid stability, highlight the urgent need for effective damping solutions. This study proposes a novel method for detecting and mitigating inter-area oscillations using a power oscillation damping (POD) controller enhanced by applying a Fast Fourier Transform (FFT). The controller’s parameters are optimized through the Nobel Bat Algorithm (NBA) and fully implemented in DIgSILENT PowerFactory (DSPF). Simulations conducted on the New England IEEE-39 power system model under varying levels of renewable energy penetration demonstrate the model’s capability to dynamically detect, mitigate, and deactivate oscillations once stability is achieved. This work addresses emerging regulations requiring oscillation damping systems and offers a framework for certifying POD controllers for real-world implementation, ensuring their adaptability to diverse energy systems and regulatory contexts.
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Research context
OpenAlex topics: Power System Optimization and Stability · Vibration and Dynamic Analysis · High-Voltage Power Transmission Systems
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Electrical Systems Department, CIRCE Technology Centre, 50018 Zaragoza, Spain
Research Institute for Energy and Resource Efficiency of Aragón (Energaia), University of Zaragoza, Campus Río Ebro, Mariano Esquillor Gómez, 15, 50018 Zaragoza, Spain
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