Photovoltaic Parameter Estimation and Optimization Techniques
Summary
Accurate estimation and optimisation of photovoltaic (PV) parameters underpin reliable modelling, performance prediction and system design across scales from residential installations to utility-scale arrays. Fundamental to this endeavour is the representation of a PV cell or module by an equivalent electrical circuit—most commonly the single-diode or multi-diode models—whose intrinsic parameters (photocurrent, diode saturation current, series and shunt resistances, ideality factors) must be determined from limited manufacturer data or measured I–V curves. Recent advances have introduced hybrid analytical–iterative schemes, gradient-based solvers and a rich variety of bioinspired and physics-informed metaheuristic algorithms. These methods capture the nonlinearity and multimodality inherent in the parameter estimation problem, accommodate variations in temperature and irradiance, and enhance convergence stability. Together, these developments have elevated the fidelity of PV models, enabled robust optimisation of array configurations and informed control strategies for maximum power point tracking. The global significance of these techniques is reflected in their deployment for predictive maintenance, real-time performance monitoring and accelerated design cycles for next-generation solar technologies.
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Photovoltaic Parameter Estimation and Optimization Techniques publication trend
The graph below shows the total number of articles in photovoltaic parameter estimation and optimization techniques across all publications each year (not limited to Nature Index journals).
Technical terms
Single-diode model: An equivalent circuit comprising a current source, a diode, series and shunt resistances, used to describe PV cell behaviour.
Series resistance (Rs): The sum of resistive losses in the cell’s contacts and interconnections, affecting fill factor and efficiency.
Shunt resistance (Rsh): The resistance across the diode that models leakage currents, influencing low-light performance.
Ideality factor: A parameter reflecting the deviation of diode behaviour from the ideal exponential I–V relationship.
Metaheuristic optimisation: A class of stochastic search algorithms inspired by natural processes, used to solve nonlinear, multimodal estimation problems.
Current–voltage (I–V) characteristic: The curve relating output current to terminal voltage, fundamental for parameter extraction and maximum power point tracking.
References
- An Analytical-Iterative Method for Accurate Parameter Estimation of the Single-Diode Model in Photovoltaic Modules: Application to Monocrystalline and Polycrystalline Modules under Various Environmental Conditions. Green Energy and Intelligent Transportation (2025).
- Parameter Estimation of Photovoltaic Models via Cuckoo Search. Journal of Applied Mathematics (2013).
- Parameters optimization of solar PV cell/module using genetic algorithm based on non-uniform mutation. Energy Conversion and Management X (2021).
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