ArticleScientific reports2026
Selective harmonic elimination in T-type multilevel inverter with reduced switch count using Sea-Horse Algorithm.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multi-level inverters (MLIs) are also used in relatively high-power systems; but the goals of low overall harmonic distortion (THD) and fewer power semiconductor devices remain a design issue of serious difficulty. Despite using different metaheuristic optimization methods to selective harmonic elimination (SHE), there are still drawbacks in convergence stability, finding accurate solutions, and the ability of the method to suppress harmonic. The proposed study will have a three-stage, 9-level, and reduced-switch-count T-type multilevel inverter design with pulse width modulation (PWM) and selective harmonic elimination (SHE). The equations of the nonlinear SHE switching angle are optimized with an objective of reducing harmonic distortion within basic voltage limitations over a broad modulation index depth (0.1–1.0). A fairly recent algorithm is the Sea-Horse Optimization (SHO) used to calculate the optimal switching angles of the SHE-PWM setup. The application of SHO is relatively compared with Particle Swarm Optimization (PSO) and Genetic Algorithm (GA). The simulation outcomes show that SHO is better in harmonic suppression and convergence is more stable. At M 1, SHO has a THDe of 0.03%, which is dramatically better than GA (0.19%) and PSO. The findings prove that the balance mechanism of exploration-exploitation and the search strategy of SHO which uses the Levy-flight mechanism promotes the improvement of optimization robustness. The suggested SHO-based SHE-PWM method enhances the quality of power and the number of switches is kept less providing a relevant and effective solution to a high-level multilevel inverter.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.