AC/DC power systems planning comprising voltage source converters using an enhanced symbiotic organisms search algorithm
Küçük Resim Yok
Tarih
2025
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer Science and Business Media Deutschland GmbH
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
The concept of distributed energy, where different energy sources are combined in remote locations, forms the basis of today's power systems overall energy production logic. Furthermore, advancements in power electronic infrastructures have emphasized their increased utilization within power systems. In particular, the transition from current source converters (CSC) technology to voltage source converters (VSC) technology has made it easier to integrate power grids with different characteristics into existing power systems. High voltage direct current (HVDC) transmission applications also play a significant role in this integration. In these increasingly complex power systems with various infrastructures and applications, maintaining a sustainable, secure, economical, and environmentally-friendly balance between supply and demand becomes more challenging using classical approaches. In this study, a metaheuristic algorithm is proposed for solving the power flow problems in hybrid AC/DC power systems that include VSC-based, Multi-Terminal HVDC grids. The proposed algorithm is an enhanced version of the symbiotic organisms search (SOS) algorithm and is named di-SOS (diversity improved SOS with Parazite RFDB) algorithm. To demonstrate the effectiveness of the developed algorithm, comparisons were made with SOS algorithm variants and 15 different metaheuristic algorithms found in the literature using various test functions. Nonparametric Wilcoxon signed-rank tests and Friedman tests were performed the compared algorithms and in the comparison between SOS algorithm variants, the di_1-SOS variant of the di_SOS algorithm performed the best with an algorithm score of 2.245. In the comparison with the other 15 metaheuristic algorithms, the di_1-SOS algorithm ranked first with a ranking score of 4.525, demonstrating its success in solving classical test functions. Finally, the algorithm was employed to address power flow problems concerns within hybrid AC/DC power systems, employing altered instances of the IEEE 14-bus and IEEE 30-bus test networks. The acquired outcomes substantiated the efficacy of the algorithm in strategic formulation of AC/DC power systems and in resolving intricate real-world engineering problems, characterized by nonlinearities and constraints. © 2025 Elsevier B.V., All rights reserved.
Açıklama
Anahtar Kelimeler
Distance Balance (rfdb), Enhanced Sos Algorithm (di-sos), Meta Heuristic Search, Mthvdc, Power Flow, Roulette Fitness, Vsc, Computer Debugging, Electric Load Flow, Electric Power System Planning, Electric Power Transmission Networks, Geophysical Prospecting, Groundwater Resources, Heuristic Methods, Hvdc Power Transmission, Mineral Exploration, Overhead Lines, Phosphate Deposits, Salt Deposits, Subjective Testing, Sulfur Deposits, Surface Water Resources, Surface Waters, Water Wells, Distance Balance, Distance Balance (rfdb), Enhanced Symbiotic Organism Search Algorithm (di-symbiotic Organism Search), Meta-heuristic Search, Mthvdc, Power Flows, Roulette Fitness, Search Algorithms, Symbiotics, Voltage Source, Heuristic Algorithms
Kaynak
Neural Computing and Applications
WoS Q Değeri
Scopus Q Değeri
Q1
Cilt
37
Sayı
5
