Grid-forming power converters tuned through artificial intelligence to damp subsynchronous interactions in electrical grids
Visualitza/Obre
10.1109/ACCESS.2020.2995298
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/328391
Tipus de documentArticle
Data publicació2020-05-18
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement 3.0 Espanya
ProjecteNODOS INTELIGENTES CON ALMACENAMIENTO DE ENERGIA PARA FLEXIBILIZAR LA OPERACION DE SISTEMAS DE DISTRIBUCION (AEI-ENE2017-88889-C2-1-R)
FLEXITRANSTORE - An Integrated Platform for Incresed FLEXIbility in smart TRANSmission grids with STORage Entities and large penetration of Renewable Energy Sources (EC-H2020-774407)
FLEXITRANSTORE - An Integrated Platform for Incresed FLEXIbility in smart TRANSmission grids with STORage Entities and large penetration of Renewable Energy Sources (EC-H2020-774407)
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.
CitacióGregory Baltas, N. [et al.]. Grid-forming power converters tuned through artificial intelligence to damp subsynchronous interactions in electrical grids. "IEEE access", 18 Maig 2020, vol. 8, p. 93369-93379.
ISSN2169-3536
Versió de l'editorhttps://ieeexplore.ieee.org/document/9094654
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