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Pregled bibliografske jedinice broj: 1176757

Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System


Ali, Toolabi, Moghadam; Morteza, Aghahadi; Mahdiyeh, Eslami; Shima, Rashidi; Behdad, Arandian; Nikolovski, Srete;
Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System // International Transactions on Electrical Energy Systems, 2022 (2022), 1; 4798029, 13 doi:10.1155/2022/4798029 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1176757 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System

Autori
Ali, Toolabi, Moghadam ; Morteza, Aghahadi ; Mahdiyeh, Eslami ; Shima, Rashidi ; Behdad, Arandian ; Nikolovski, Srete ;

Izvornik
International Transactions on Electrical Energy Systems (2050-7038) 2022 (2022), 1; 4798029, 13

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

Ključne riječi
power system stabilizer, SVC compensator, adaptive rat swarm optimization, power system stability

Sažetak
This paper presents a new approach for the coordinated design of a power system stabilizer- (PSS-) and static VAR compensator- (SVC-) based stabilizer. For this purpose, the design problem is considered as an optimization problem, while the decision variables are the controllers’ parameters. This paper proposes an effective optimization algorithm based on a rat swarm optimizer, namely, adaptive rat swarm optimization (ARSO), for solving complex optimization problems as well as coordinated design of controllers. In the proposed ARSO, instead of a random initial population, the algorithm starts the search process with fitter solutions using the concept of the opposite number. In addition, in each iteration of the optimization, the new algorithm replaces the worst solution with its opposite or a random part of the best solution to avoid getting trapped in local optima and increase the global search ability of the algorithm. The performance of the new ARSO is investigated using a set of benchmark test functions, and the results are compared with those of the standard RSO and some other methods from the literature. In addition, a case study from the literature is considered to evaluate the efficiency of the proposed ARSO for coordinated design of controllers in a power system. PSSs and additional SVC controllers are being considered to demonstrate the feasibility of the new technique. The numerical investigations show that the new approach may provide better optimal damping and outperform previous methods.

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:

Pristup cjelovitom tekstu rada doi www.hindawi.com

Citiraj ovu publikaciju:

Ali, Toolabi, Moghadam; Morteza, Aghahadi; Mahdiyeh, Eslami; Shima, Rashidi; Behdad, Arandian; Nikolovski, Srete;
Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System // International Transactions on Electrical Energy Systems, 2022 (2022), 1; 4798029, 13 doi:10.1155/2022/4798029 (međunarodna recenzija, članak, znanstveni)
Ali, Toolabi, Moghadam, Morteza, A., Mahdiyeh, E., Shima, R., Behdad, A., Nikolovski, S. & (2022) Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System. International Transactions on Electrical Energy Systems, 2022 (1), 4798029, 13 doi:10.1155/2022/4798029.
@article{article, author = {Morteza, Aghahadi and Mahdiyeh, Eslami and Shima, Rashidi and Behdad, Arandian and Nikolovski, Srete}, year = {2022}, pages = {13}, DOI = {10.1155/2022/4798029}, chapter = {4798029}, keywords = {power system stabilizer, SVC compensator, adaptive rat swarm optimization, power system stability}, journal = {International Transactions on Electrical Energy Systems}, doi = {10.1155/2022/4798029}, volume = {2022}, number = {1}, issn = {2050-7038}, title = {Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System}, keyword = {power system stabilizer, SVC compensator, adaptive rat swarm optimization, power system stability}, chapternumber = {4798029} }
@article{article, author = {Morteza, Aghahadi and Mahdiyeh, Eslami and Shima, Rashidi and Behdad, Arandian and Nikolovski, Srete}, year = {2022}, pages = {13}, DOI = {10.1155/2022/4798029}, chapter = {4798029}, keywords = {power system stabilizer, SVC compensator, adaptive rat swarm optimization, power system stability}, journal = {International Transactions on Electrical Energy Systems}, doi = {10.1155/2022/4798029}, volume = {2022}, number = {1}, issn = {2050-7038}, title = {Adaptive Rat Swarm Optimization for Optimum Tuning of SVC and PSS in a Power System}, keyword = {power system stabilizer, SVC compensator, adaptive rat swarm optimization, power system stability}, chapternumber = {4798029} }

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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