Grid-Forming Power Converters Tuned Through Artificial Intelligence to Damp Subsynchronous Interactions in Electrical Grids

The integration of non-synchronous generation units and energy storage through power electronics is introducing new challenges in power system dynamics. Specifically, the rotor angle stability has been identified as one of the major obstacle with regards to power electronics dominated power systems....

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Bibliographic Details
Published inIEEE access Vol. 8; pp. 93369 - 93379
Main Authors Baltas, Gregory N., Lai, Ngoc Bao, Marin, Leonardo, Tarraso, Andres, Rodriguez, Pedro
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Active control
Artificial intelligence
Controllers
Damping
Dynamic stability
Electric power systems
Electronics
Energy storage
ensemble modelling
inter-area power oscillation
Oscillation dampers
Oscillators
Portable media players
Power control
Power converters
Power electronics
Power system stability
random forests
Stability analysis
synchronous power controller
System dynamics
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Summary:The integration of non-synchronous generation units and energy storage through power electronics is introducing new challenges in power system dynamics. Specifically, the rotor angle stability has been identified as one of the major obstacle with regards to power electronics dominated power systems. To date, conventional power system stabilizer (PSS) devices are used for damping electromechanical oscillations, which are only tuned sporadically leading to significant deterioration in performance against the ever-changing operating conditions. In this paper, an intelligent power oscillation damper (iPOD) is proposed for grid-forming converters to attenuate electromechanical inter-area power oscillation. In particular, the iPOD is applied to a synchronous power controller (SPC) based grid-forming power converter to increases gain of the active power control loop at the oscillatory frequency. Predictions regarding the mode frequency, corresponding to the current operating points, are given by an artificial intelligence ensemble model called Random Forests. The performance of the proposed controller is verified using the two area system considering symmetrical fault for random operating points. In addition, a comparison with PSS installed in each generator reveals the individual contribution with respect to the inter-area mode damping.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.2995298