Random learning gradient based optimization for efficient design of photovoltaic models
W Zhou, P Wang, AA Heidari, X Zhao… - Energy Conversion and …, 2021 - Elsevier
How to effectively realize the parameter identification of different photovoltaic models has
gradually become a research hotspot. This paper proposes an improved gradient-based …
gradually become a research hotspot. This paper proposes an improved gradient-based …
Opposition decided gradient-based optimizer with balance analysis and diversity maintenance for parameter identification of solar photovoltaic models
The solar photovoltaic (PV) parameter estimation/identification is a complicated optimization
process that directly affects the performance of PV systems if the internal parameters of PV …
process that directly affects the performance of PV systems if the internal parameters of PV …
Solar photovoltaic model parameter estimation based on orthogonally-adapted gradient-based optimization
Solar photovoltaic (PV) model parameter estimation research is a growing field of interest.
To establish accurate and reliable PV models, including single diode, double diode, three …
To establish accurate and reliable PV models, including single diode, double diode, three …
[HTML][HTML] An enhanced Gradient-based Optimizer for parameter estimation of various solar photovoltaic models
The performance of a PhotoVoltaic (PV) system could be inferred from the features of its
current–voltage relationships, but the PV model parameters are uncertain. Because of its …
current–voltage relationships, but the PV model parameters are uncertain. Because of its …
[HTML][HTML] Gradient-based optimization with ranking mechanisms for parameter identification of photovoltaic systems
Deriving optimal photovoltaic (PV) models' optimal parameters have tremendous
significance in simulating, evaluating, and controlling the photovoltaic systems. Determining …
significance in simulating, evaluating, and controlling the photovoltaic systems. Determining …
Enhancing photovoltaic parameter estimation: integration of non-linear hunting and reinforcement learning strategies with golden jackal optimizer
The advancement of Photovoltaic (PV) systems hinges on the precise optimization of their
parameters. Among the numerous optimization techniques, the effectiveness of each often …
parameters. Among the numerous optimization techniques, the effectiveness of each often …
Multiple learning backtracking search algorithm for estimating parameters of photovoltaic models
Obtaining appropriate parameters of photovoltaic models based on measured current-
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …
voltage data is crucial for the evaluation, control, and optimization of photovoltaic systems …
Evaluation of constraint in photovoltaic cells using ensemble multi-strategy shuffled frog leading algorithms
The efficient identification of the unknown and changeable photovoltaic parameters is a
matter of considerable interest to model photovoltaic systems. The accurate and efficient …
matter of considerable interest to model photovoltaic systems. The accurate and efficient …
Winner-leading competitive swarm optimizer with dynamic Gaussian mutation for parameter extraction of solar photovoltaic models
Extracting accurate and reliable values for involved unknown parameters of solar
photovoltaic (PV) cells/modules is considerably significant to the characteristic analysis, fault …
photovoltaic (PV) cells/modules is considerably significant to the characteristic analysis, fault …
A new hybrid algorithm based on grey wolf optimizer and cuckoo search for parameter extraction of solar photovoltaic models
W Long, S Cai, J Jiao, M Xu, T Wu - Energy Conversion and Management, 2020 - Elsevier
Quickly, accurately and reliably extract the parameters of solar photovoltaic (PV) model is
very critical to simulate, evaluate and control the PV systems. During the past few years …
very critical to simulate, evaluate and control the PV systems. During the past few years …