Optimized Maximum Power Point Tracker for Fast-Changing Environmental Conditions

By Dezso Sera, Remus Teodorescu, Jochen Hantschel, Michael Knoll. IEEE transactions on industrial electronics (1982. Print), 2008

355 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/0f1f6c9c7c72614d2eaf113a60cd3c1bf6cee5a8

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Citations in the corpus

Fuzzy logic controller based SEPIC converter of maximum power point tracking (2012, methodology): “Sera et al. [7] applied optimization for MPPT using PI controller for their converter.”
Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems (2015, methodology): “The other method optimized dP-P&O [9] is able to avoid the drift provided that”
Cascaded DC–DC Converter Photovoltaic Systems: Power Optimization Issues (2011, background): “the system in order to detect the sign of the power gradient, has proved as one of the most successful [15], [16].”
Control Issues in Single-Stage Photovoltaic Systems: MPPT, Current and Voltage Control (2012, methodology): “to use the simple dP-P&O without any optimization tracking strategy, vice versa, in case of fast changing conditions, two different thresholds are defined [66]: ThN, defined as the negative threshold for dP and ThP, the positive threshold.”
On the Perturb-and-Observe and Incremental Conductance MPPT Methods for PV Systems (2013, background): “Methods to improve the dynamic behavior of the P&O, including variable step size and perturbation frequency, have been reported in the literature [4], [5], [8], [15]–[18].”
An Improved Maximum Power Point Tracking for Photovoltaic Grid-Connected Inverter Based on Voltage-Oriented Control (2011, neutral): “[12], [13].”
A Hybrid AC/DC Microgrid and Its Coordination Control (2011, methodology): “The reference value of the solar panel terminal voltage is determined by the basic perturbation and observation (P&O) algorithm based on solar irradiation and temperature to harness the maximum power [21], [22].”
Modeling and Control of PV Charger System With SEPIC Converter (2009, methodology): “Because the P−V characteristic of the PV module is varied with the insolation level as well as the temperature [9], [10], if the peak power voltage of the PV module does not match with the battery voltage, the energy conversion efficiency of the PV module will be reduced using the direct connection ”