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Pregled bibliografske jedinice broj: 1262792

Frequency Stabilization in an Interconnected Micro-Grid Using Smell Agent Optimization Algorithm-Tuned Classical Controllers Considering Electric Vehicles and Wind Turbines

(Međunarodna suradnja) Vishnoi, Shreya; Nikolovski, Srete; Raju, More; Mukesh, Kirar; Ankur, Rana; Pawan, Kumar
Frequency Stabilization in an Interconnected Micro-Grid Using Smell Agent Optimization Algorithm-Tuned Classical Controllers Considering Electric Vehicles and Wind Turbines // Energies, 16 (2023), 6; 2913, 25 doi:10.3390/en16062913 (međunarodna recenzija, članak, znanstveni)

CROSBI ID: 1262792 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Frequency Stabilization in an Interconnected Micro-Grid Using Smell Agent Optimization Algorithm-Tuned Classical Controllers Considering Electric Vehicles and Wind Turbines

Autori
Vishnoi, Shreya ; Nikolovski, Srete ; Raju, More ; Mukesh, Kirar ; Ankur, Rana ; Pawan, Kumar

Kolaboracija
Međunarodna suradnja

Izvornik
Energies (1996-1073) 16 (2023), 6; 2913, 25

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

Ključne riječi
electric vehicles ; frequency regulation ; micro-grid ; PID controller ; smell agent optimization ; wind turbine

Sažetak
Micro-grids (MGs), renewable energy resources (RESs) supply a major portion of the consumer demand. The intermittent nature of these RESs and the stochastic characteristics of the loads cause a frequency stabilization issue in MGs. Owing to this, in the present manuscript, the authors try to uncover the frequency stabilization/regulation issue (FRI) in a two-area MG system comprising wind turbines (WTs), an aqua-electrolyzer, a fuel cell, a bio-gas plant, a bio-diesel plant, diesel generation (DG), ship DG, electric vehicles and their energy storage devices, flywheels, and batteries in each control area. With these sources, the assessment of the FRI is carried out using different classical controllers, namely, the integral (I), proportional plus I (PI), and PI plus derivative (PID) controllers. The gain values of these I, PI, and PID controllers are tuned using the recently proposed smell agent optimization (SAO) algorithm. The simulation studies reveal the outstanding performance of the later controller compared with the former ones in view of the minimum settling period and peak amplitude deviations (overshoots and undershoots). The SAO algorithm shows superior convergence behavior when tested against particle swarm optimization and the firefly algorithm. The SAO- PID controller effectively performs in continuously changing and increased demand situations. The SAO-PID controller designed in nominal conditions was found to be insensitive to wide deviations in load demands and WT time constants.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA

Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek

Profili:

Avatar Url Srete Nikolovski (autor)

Poveznice na cjeloviti tekst rada:

doi www.mdpi.com

Citiraj ovu publikaciju:

(Međunarodna suradnja) Vishnoi, Shreya; Nikolovski, Srete; Raju, More; Mukesh, Kirar; Ankur, Rana; Pawan, Kumar
Frequency Stabilization in an Interconnected Micro-Grid Using Smell Agent Optimization Algorithm-Tuned Classical Controllers Considering Electric Vehicles and Wind Turbines // Energies, 16 (2023), 6; 2913, 25 doi:10.3390/en16062913 (međunarodna recenzija, članak, znanstveni)
(Međunarodna suradnja) (Međunarodna suradnja) Vishnoi, S., Nikolovski, S., Raju, M., Mukesh, K., Ankur, R. & Pawan, K. (2023) Frequency Stabilization in an Interconnected Micro-Grid Using Smell Agent Optimization Algorithm-Tuned Classical Controllers Considering Electric Vehicles and Wind Turbines. Energies, 16 (6), 2913, 25 doi:10.3390/en16062913.
@article{article, author = {Vishnoi, Shreya and Nikolovski, Srete and Raju, More and Mukesh, Kirar and Ankur, Rana and Pawan, Kumar}, year = {2023}, pages = {25}, DOI = {10.3390/en16062913}, chapter = {2913}, keywords = {electric vehicles, frequency regulation, micro-grid, PID controller, smell agent optimization, wind turbine}, journal = {Energies}, doi = {10.3390/en16062913}, volume = {16}, number = {6}, issn = {1996-1073}, title = {Frequency Stabilization in an Interconnected Micro-Grid Using Smell Agent Optimization Algorithm-Tuned Classical Controllers Considering Electric Vehicles and Wind Turbines}, keyword = {electric vehicles, frequency regulation, micro-grid, PID controller, smell agent optimization, wind turbine}, chapternumber = {2913} }
@article{article, author = {Vishnoi, Shreya and Nikolovski, Srete and Raju, More and Mukesh, Kirar and Ankur, Rana and Pawan, Kumar}, year = {2023}, pages = {25}, DOI = {10.3390/en16062913}, chapter = {2913}, keywords = {electric vehicles, frequency regulation, micro-grid, PID controller, smell agent optimization, wind turbine}, journal = {Energies}, doi = {10.3390/en16062913}, volume = {16}, number = {6}, issn = {1996-1073}, title = {Frequency Stabilization in an Interconnected Micro-Grid Using Smell Agent Optimization Algorithm-Tuned Classical Controllers Considering Electric Vehicles and Wind Turbines}, keyword = {electric vehicles, frequency regulation, micro-grid, PID controller, smell agent optimization, wind turbine}, chapternumber = {2913} }

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

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