Competency of improved artificial ecosystem optimizer in parameters identification of small and medium sized distribution transformers.

ABSTRACT: Accurate modelling of distribution transformers (TXs) is crucial to identify their operating characteristics across several power system applications. Consequently, this paper employs an improved version of the artificial ecosystem optimizer (called IAEO) in parameters estimation of distribution TXs with different four sizes (i.e. 4, 15, 112.5 and 167 kVA ratings). Comparison with well-known literature optimizers, including genetic algorithm, particle swarm optimizer, coyote optimization algorithm, artificial hummingbird optimizer, and others, validates the performance of the proposed IAEO. The IAEO demonstrates its superiority by getting the lowest possible value of the sum of absolute errors (SAEs) between measured and calculated values, which serves as the objective function (OF) to be

SUBMITTER: Draz A 

PROVIDER: S-EPMC12432119 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature