000160873 001__ 160873
000160873 005__ 20251017144554.0
000160873 0247_ $$2doi$$a10.3390/en18081911
000160873 0248_ $$2sideral$$a144053
000160873 037__ $$aART-2025-144053
000160873 041__ $$aeng
000160873 100__ $$aCoronado-Mendoza, Alberto
000160873 245__ $$aOptimum Design of a Photovoltaic Inverter System Based on Ga, Pso and Gwo Algorithms with a Mppt Sliding Mode Control
000160873 260__ $$c2025
000160873 5060_ $$aAccess copy available to the general public$$fUnrestricted
000160873 5203_ $$aThe deployment of photovoltaic single-phase inverters has been rapidly increasing worldwide. However, the performance of these systems is highly influenced by atmospheric conditions and load variations, necessitating the development of performance indices to enhance their efficiency and energy quality. In this study, four performance indices are proposed to evaluate the efficiency and energy quality of photovoltaic systems quantitatively. The entire process is analyzed, encompassing solar energy capture, DC-DC and DC-AC conversion, and filtering, to deliver maximum energy and quality to the load. Furthermore, eight system parameters are optimized using advanced techniques such as genetic algorithms, particle swarm optimization, and gray wolf optimization. These optimizations enhance the global performance of two critical stages: (1) the maximum power point tracking algorithm based on sliding mode control, which minimizes switching losses in the boost stage, and (2) the effective transfer of captured solar power to the load by optimizing the gains of a PI controller. The PI controller computes the switching triggers for the inverter stage, significantly improving the total harmonic distortion of voltage and current waveforms. Simulation results validate the proposed approach, demonstrating a marked improvement in overall system efficiency (95.8%) when compared to the incremental conductance method (−11.8%) and a baseline sliding mode control configuration (−1.14%).
000160873 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttps://creativecommons.org/licenses/by/4.0/deed.es
000160873 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000160873 700__ $$aCamas-Náfate, Mónica
000160873 700__ $$0(orcid)0000-0001-7764-235X$$aArtal-Sevil, Jesús Sergio$$uUniversidad de Zaragoza
000160873 700__ $$0(orcid)0000-0002-4770-0069$$aDomínguez-Navarro, José Antonio$$uUniversidad de Zaragoza
000160873 7102_ $$15009$$2535$$aUniversidad de Zaragoza$$bDpto. Ingeniería Eléctrica$$cÁrea Ingeniería Eléctrica
000160873 773__ $$g18, 8 (2025), 1911 [16 pp.]$$pENERGIES$$tEnergies$$x1996-1073
000160873 8564_ $$s3824028$$uhttps://zaguan.unizar.es/record/160873/files/texto_completo.pdf$$yVersión publicada
000160873 8564_ $$s2603424$$uhttps://zaguan.unizar.es/record/160873/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000160873 909CO $$ooai:zaguan.unizar.es:160873$$particulos$$pdriver
000160873 951__ $$a2025-10-17-14:12:32
000160873 980__ $$aARTICLE