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Pregled bibliografske jedinice broj: 1197193

Adaptive Synthetic Inertia Control Framework for Distributed Energy Resources in Low-Inertia Microgrid


Nema, Sumit; Prakash, Vivek; Pandžić, Hrvoje
Adaptive Synthetic Inertia Control Framework for Distributed Energy Resources in Low-Inertia Microgrid // IEEE Access, 10 (2022), 54969-54979 doi:10.1109/ACCESS.2022.3177661 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1197193 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Adaptive Synthetic Inertia Control Framework for Distributed Energy Resources in Low-Inertia Microgrid

Autori
Nema, Sumit ; Prakash, Vivek ; Pandžić, Hrvoje

Izvornik
IEEE Access (2169-3536) 10 (2022); 54969-54979

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Distributed energy resources ; dynamic frequency control ; fast frequency response ; fuzzy-logic ; low-inertia microgrid ; particle-swarm optimization ; synthetic inertia

Sažetak
Bulk integration of Distributed Energy Resources (DERs) into the power grids reduces the system’s inherent inertial response.The reduced inertial response causes a high Rate-of-Change-of-Frequency (RoCoF) and poses formidable operational challenges for the grid frequency stability. Interconnections around the world comprehend the role and value of the Synthetic Inertia Control (SIC), which is considered as a subset of the Fast Frequency Response (FFR) and as one of the potential solutions to arrest high RoCoF in low- inertia power systems. This paper proposes an intelligent SIC model with an adaptive Fuzzy Logic Controller for a low-inertia microgrid. The proposed Fuzzy-SIC (FSIC) design optimizes the DER output to fulfill the FFR requirements of the system for various operating conditions. The particle swarm optimization algorithm is applied to tune the SIC unit parameters along with the secondary Proportional-Integral-Derivative control. The proposed approach is examined in a control area with distinct degrees of DERs and load. Case studies and numerical results demonstrate about 87% improvement in RoCoF and frequency nadir in comparison to the system without a synthetic inertia emulation. Furthermore, the robustness of the proposed approach is evaluated using various case studies and a time-domain analysis is conducted to demonstrate the impact of incremental SIC parameters on the system parameters.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Projekti:
HRZZ-IP-2019-04-9164 - Aktivno sudjelovanje skupine kućanstava u energetskim tržištima (ANIMATION) (Pandžić, Hrvoje, HRZZ ) ( CroRIS)

Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Hrvoje Pandžić (autor)

Poveznice na cjeloviti tekst rada:

doi ieeexplore.ieee.org

Citiraj ovu publikaciju:

Nema, Sumit; Prakash, Vivek; Pandžić, Hrvoje
Adaptive Synthetic Inertia Control Framework for Distributed Energy Resources in Low-Inertia Microgrid // IEEE Access, 10 (2022), 54969-54979 doi:10.1109/ACCESS.2022.3177661 (međunarodna recenzija, članak, znanstveni)
Nema, S., Prakash, V. & Pandžić, H. (2022) Adaptive Synthetic Inertia Control Framework for Distributed Energy Resources in Low-Inertia Microgrid. IEEE Access, 10, 54969-54979 doi:10.1109/ACCESS.2022.3177661.
@article{article, author = {Nema, Sumit and Prakash, Vivek and Pand\v{z}i\'{c}, Hrvoje}, year = {2022}, pages = {54969-54979}, DOI = {10.1109/ACCESS.2022.3177661}, keywords = {Distributed energy resources, dynamic frequency control, fast frequency response, fuzzy-logic, low-inertia microgrid, particle-swarm optimization, synthetic inertia}, journal = {IEEE Access}, doi = {10.1109/ACCESS.2022.3177661}, volume = {10}, issn = {2169-3536}, title = {Adaptive Synthetic Inertia Control Framework for Distributed Energy Resources in Low-Inertia Microgrid}, keyword = {Distributed energy resources, dynamic frequency control, fast frequency response, fuzzy-logic, low-inertia microgrid, particle-swarm optimization, synthetic inertia} }
@article{article, author = {Nema, Sumit and Prakash, Vivek and Pand\v{z}i\'{c}, Hrvoje}, year = {2022}, pages = {54969-54979}, DOI = {10.1109/ACCESS.2022.3177661}, keywords = {Distributed energy resources, dynamic frequency control, fast frequency response, fuzzy-logic, low-inertia microgrid, particle-swarm optimization, synthetic inertia}, journal = {IEEE Access}, doi = {10.1109/ACCESS.2022.3177661}, volume = {10}, issn = {2169-3536}, title = {Adaptive Synthetic Inertia Control Framework for Distributed Energy Resources in Low-Inertia Microgrid}, keyword = {Distributed energy resources, dynamic frequency control, fast frequency response, fuzzy-logic, low-inertia microgrid, particle-swarm optimization, synthetic inertia} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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