Title Grid-Forming Power Converters Tuned through Artificial Intelligence to Damp Subsynchronous Interactions in Electrical Grids
Authors BALTAS, NICHOLAS-GREGORY, LAI, NGOC BAO, Marin L., Tarrasó A., RODRÍGUEZ CORTÉS, PEDRO, RODRÍGUEZ CORTÉS, PEDRO, BALTAS, NICHOLAS-GREGORY, LAI, NGOC BAO
External publication No
Means IEEE Access
Scope Article
Nature Científica
JCR Quartile 1
SJR Quartile 1
Area International
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085994880&doi=10.1109%2fACCESS.2020.2995298&partnerID=40&md5=6d2758f6be124988cc986264f5d47baa
Publication date 01/01/2020
ISI 000541121800034
Scopus Id 2-s2.0-85085994880
DOI 10.1109/ACCESS.2020.2995298
Abstract 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. © 2013 IEEE.
Keywords Artificial intelligence; Circuit oscillations; Damping; Decision trees; Deterioration; Electric power transmission networks; Electromechanical devices; Power control; Power converters; Power electroni
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