Podrobno

A benchmark model for power system restoration studies
ID Škrjanc, Tadej (Avtor), ID Herman, Leopold (Avtor), ID Virginillo, Dawn (Avtor), ID Derviškadić, A. (Avtor), ID Torresan, Gilles (Avtor), ID Mihalič, Rafael (Avtor), ID Rudež, Urban (Avtor)

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Izvleček
Recent widespread blackouts in Europe (e.g., the Iberian Peninsula) and worldwide (e.g., Chile) have highlighted the critical importance of robust restoration processes. Traditionally, restoration has relied on synchronous generators and predefined strategies, which have been only partially tested in practice and mainly evaluated with simulators capturing basic system dynamics. The changing grid environment raises question of how these strategies can be further improved. The increasing dominance of inverter-based resources introduces reduced inertia, new dynamic interactions, and greater uncertainty from variable renewable generation. This motivates a re-evaluation and new study of existing restoration approaches. International efforts have proposed updated restoration guidelines and explored advanced technologies such as battery energy storage systems, grid-forming inverters, and high-voltage direct current systems. Yet, despite the growing importance of managing dynamics in the delicate restoration phase, field testing remains limited. This highlights the need for a benchmark restoration model. As a first step toward such a model, this paper reviews existing restoration processes, identifies technical challenges, and develops a simulation framework including key network components typically available during restoration. The model enables scenario-based testing of both conventional and advanced strategies, supporting a better understanding of dynamic behaviour and system stability. The proposed model has been implemented for EMT and RMS simulations using both commercial tools (PowerFactory, PSCAD) and non-commercial tools under development. By providing a flexible platform, it bridges the gap between research and practice, supporting system operators, researchers, and policymakers in designing more resilient and adaptive restoration strategies for future power systems.

Jezik:Angleški jezik
Ključne besede:dynamic phenomena, dynamic simulations, power system restoration, black start, stability, generic restoration model, BESS
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FE - Fakulteta za elektrotehniko
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2026
Št. strani:23 str.
Številčenje:Vol. 232, art. 116787
PID:20.500.12556/RUL-179429 Povezava se odpre v novem oknu
UDK:621.31
ISSN pri članku:1364-0321
DOI:10.1016/j.rser.2026.116787 Povezava se odpre v novem oknu
COBISS.SI-ID:268377347 Povezava se odpre v novem oknu
Datum objave v RUL:13.02.2026
Število ogledov:167
Število prenosov:59
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Renewable and sustainable energy reviews
Skrajšan naslov:Renew. sustain. energy rev.
Založnik:Elsevier
ISSN:1364-0321
COBISS.SI-ID:44255233 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:dinamični pojavi, dinamične simulacije, ponovna vzpostavitev elektroenergetskega sistema, zagon brez zunanjega napajanja, stabilnost, univerzalni model ponovne vzpostavitve elektroenergetskega sistema, baterijski hranilnik električne energije

Projekti

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0356
Naslov:Elektroenergetski sistemi

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:L2-50053
Naslov:Sprotno ocenjevanje stabilnosti elektroenergetskega sistema na osnovi umetne inteligence (AI–ASSIST)

Financer:EC - European Commission
Številka projekta:101136119
Naslov:Digital Twin for Europe
Akronim:TwinEU

Financer:CRESYM

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