@Article{cmes.2025.071642,
AUTHOR = {Hajer Hafaiedh, Adel Mahjoub, Yahia Saoudi, Anouar Benamor, Okba Taouali, Kamel Zidi, Wad Ghaban},
TITLE = {Optimal Location, Sizing and Technology Selection of STATCOM for Power Loss Minimization and Voltage Profile Using Multiple Optimization Methods},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {145},
YEAR = {2025},
NUMBER = {1},
PAGES = {571--596},
URL = {http://www.techscience.com/CMES/v145n1/64353},
ISSN = {1526-1506},
ABSTRACT = {Several optimization methods, such as Particle Swarm Optimization (PSO) and Genetic Algorithm (GA), are used to select the most suitable Static Synchronous Compensator (STATCOM) technology for the optimal operation of the power system, as well as to determine its optimal location and size to minimize power losses. An IEEE 14 bus system, integrating three wind turbines based on Squirrel Cage Induction Generators (SCIGs), is used to test the applicability of the proposed algorithms. The results demonstrate that these algorithms are capable of selecting the most appropriate technology while optimally sizing and locating the STATCOM to reduce power losses in the network. Specifically, the optimized STATCOM allocation using the Particle Swarm Optimization (PSO) achieves a 7.44% reduction in total active power loss compared to the optimized allocation using the Genetic Algorithm (GA). Furthermore, the voltage magnitudes at buses 4, 9, and 10, which initially had exceeded the upper voltage limit, were reduced and brought within acceptable ranges, thereby improving the system’s overall voltage profile. Consequently, the optimal allocation of the STATCOM significantly enhances the efficiency and performance of the power network.},
DOI = {10.32604/cmes.2025.071642}
}