Modification of Harris hawks optimization algorithm with random distribution functions for optimum power flow problem

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dc.authoridakdağ, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridakdag, ozan/0000-0001-8163-8898
dc.authoridYeroglu, Celaleddin/0000-0002-6106-2374
dc.authoridATES, Abdullah/0000-0002-4236-6794
dc.authorwosidakdağ, ozan/GOH-3170-2022
dc.authorwosidYeroglu, Celaleddin/ABG-9572-2020
dc.authorwosidakdag, ozan/KIC-8784-2024
dc.authorwosidakdag, ozan/KIC-9241-2024
dc.authorwosidakdag, ozan/KNM-5436-2024
dc.authorwosidATES, Abdullah/V-6929-2018
dc.contributor.authorAkdag, Ozan
dc.contributor.authorAtes, Abdullah
dc.contributor.authorYeroglu, Celaleddin
dc.date.accessioned2024-08-04T20:47:26Z
dc.date.available2024-08-04T20:47:26Z
dc.date.issued2021
dc.departmentİnönü Üniversitesien_US
dc.description.abstractHarris hawks optimization (HHO) algorithm, which is inspired from Harris hawks hunting strategy, uses uniform random numbers in the optimization process. This paper proposes modifying HHO with seven types of random distribution function definitions that are chi-square distribution, normal distribution, exponential distribution, Rayleigh distribution, Student's distribution,Fdistribution, and lognormal distribution to show effects on stochastic search-based optimization algorithm performance. The modified HHO algorithm is tested via some benchmark test functions. Results are compared with each other and with classical HHO solutions. Then, the HHO and its modified versions are applied to optimum power flow (OPF), which is an important problem for power system engineering for decades. The algorithms are applied to IEEE 30-bus test system to minimize total fuel cost of the power system, active/reactive power losses, and emission, by comparing with recent OPF researches. Considering the applicability of the proposed approach and the results achieved, one can confirm that it might be a different alternative method for solving OPF problems. One of the important results of the paper in the IEEE 30-bus test system is that the cost of fuel is calculated as 798.9105 $/h with classical HHO, while it is calculated as 798.66 $/h with the HHO modified with SD function.en_US
dc.identifier.doi10.1007/s00521-020-05073-5
dc.identifier.endpage1985en_US
dc.identifier.issn0941-0643
dc.identifier.issn1433-3058
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-85087083905en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1959en_US
dc.identifier.urihttps://doi.org/10.1007/s00521-020-05073-5
dc.identifier.urihttps://hdl.handle.net/11616/99370
dc.identifier.volume33en_US
dc.identifier.wosWOS:000541389000004en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofNeural Computing & Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectStochastic optimizationen_US
dc.subjectRandom distribution functionen_US
dc.subjectOPF problemen_US
dc.subjectHarris hawksen_US
dc.titleModification of Harris hawks optimization algorithm with random distribution functions for optimum power flow problemen_US
dc.typeArticleen_US

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