Galvanostatic Power-Point Tracking: Advancing Operational Stability of High-Hysteresis Perovskite Solar Cells for Real-World Applications
Emilio J. Juarez-Perez a b, Arturo Sanz Marco b, Roberto Casas c, Marta Haro b d
a ARAID, Government of Aragon, 50018, Zaragoza, Spain
b Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
c Howlab Research Group, Aragon Institute of Engineering Research (I3A), Universidad de Zaragoza, 50018 Zaragoza, Spain
d Hybrid Materials and their Structuration Research Group (HYMAT), Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
Materials for Sustainable Development Conference (MATSUS)
Proceedings of MATSUS Spring 2025 Conference (MATSUSSpring25)
The claim for sustainable materials in long lasting application - #EmergingPV
Sevilla, Spain, 2025 March 3rd - 7th
Organizers: Matteo Bonomo, Luigi Angelo Castriotta and Francesca De Rossi
Oral, Emilio J. Juarez-Perez, presentation 027
DOI: https://doi.org/10.29363/nanoge.matsusspring.2025.027
Publication date: 16th December 2024

The widespread deployment of perovskite solar cells (PSCs) or other emergent PV technologies as a sustainable energy solution hinges critically on both their operational stability and the ability to efficiently extract maximum power under real-world illumination conditions. While significant advances have been made in PSC stability, particularly in triple-mesoscopic hole-transport-material-free architectures, conventional maximum power point tracking (MPPT) algorithms fall short when applied to these highly stable but hysteretic devices. This presentation introduces a novel galvanostatic power-tracking algorithm specifically designed to overcome the challenges posed by high-hysteresis PSCs, complemented by comprehensive real-world performance data.

Our approach utilizes cost-effective hardware[1,2] that enables parallel long-term stability measurements, addressing a critical gap in PSC characterization methodology. The system's architecture allows for continuous monitoring and precise power optimization, particularly crucial for devices incorporating power optimizers. We will present detailed performance metrics from extended outdoor testing, demonstrating the algorithm's superior tracking efficiency compared to traditional methods. The real-world data encompasses various environmental conditions, validating the system's robustness and reliability in actual operational scenarios. This work contributes to the broader goal of PSC commercialization by providing a practical solution for accurate power tracking, essential for both research and commercial applications.

Our findings have significant implications for the integration of PSC technology into various applications, including building-integrated photovoltaics (BIPV) and large-scale solar installations, where accurate power optimization is crucial for maximum energy yield. The combination of our innovative tracking methodology and real-world validation data provides valuable insights into the practical implementation of PSC technology, addressing key challenges in stability assessment and performance optimization for sustainable photovoltaic applications.

Authors acknowledge the funding support from MCIN/AEI/10.13039/501100011033 and European Union NextGenerationEU/PRTR for project grants PID2022-140516OB-I00 (E.J.J.-P. and M.H.), PID2019-107893RB-I00 (E.J.J.-P.), PID2020-116011RB-C22 (R.C.), EIN2020-112315 (E.J.J.-P.), PID2019-108247RA-I00 (M.H.), PID2022-142182OA-I00 (E.J.J.-P) and fellowships from Ramón y Cajal (RYC-2018-025222-I; M.H.). Also, authors acknowledge the funding support from the Aragon Regional Government for the Program for Research Groups under grant: T57_23R (E.J.J.-P.), E31_20R (M.H.), and T27_23R (R.C.).

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