High-Performance Solar MPPT Using Switching Ripple Identification Based on a Lock-In Amplifier

Paz, Francisco; Ordonez, Martin

doi:10.1109/tie.2016.2530785

Cited by 63 publications

(33 citation statements)

References 41 publications

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“…where D is the duty cycle of the gating signal. The predicted PV current can be calculated by substituting (6) into (4) and (5). Generally, the cost function is calculated by using the predicted variables and their references, where the references are calculated based on P&O or INC algorithm, where, λ I and λ v are the current and voltage weighting factors, respectively.…”

Section: Operation Principle Of Finite-control-set Mpc-mentioning

confidence: 99%

“…where ipv(k+1) is estimated by using (4) and (5), and ipv*(k+1) is provided by the first cost function (16). Due to the inclusion of only term in the cost function of the proposed method, no weighting factors design is needed.…”

Section: B Switching States Generationmentioning

confidence: 99%

“…Also, its speed convergence is limited, by reason that the choice of the step size is linked to the steady state operation conditions [3], [4]. Incremental Conductance (INC) also is a well-known MPPT [5], [6], and its operational principle is very congruous to that of P&O algorithm. It therefore provides tantamount static and dynamic performances as P&O according to the investigation reported in [7].…”

Section: Introductionmentioning

confidence: 99%

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A Dual-Discrete Model Predictive Control-Based MPPT for PV Systems

Lashab

Séra

Guerrero

2019

IEEE Trans. Power Electron.

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This paper presents a method that overcomes the problem of the confusion during fast irradiance change in the classical MPPTs as well as in model predictive control (MPC)based MPPTs available in the literature. The previously introduced MPC-based MPPTs take into account the model of the converter only, which make them prone to the drift during fast environmental conditions. Therefore, the model of the PV array is also considered in the proposed algorithm, which allows it to be prompt during rapid environmental condition changes. It takes into account multiple previous samples of power, and based on that is able to take the correct tracking decision when the predicted and measured power differ (in case of drift issue). After the tracking decision is taken, it will be sent to a second part of the algorithm as a reference. The second part is used for following the reference provided by the first part, where the pulses are sent directly to the converter, without a modulator or a linear controller. The proposed technique is validated experimentally by using a buck converter, fed by a PV simulator. The tracking efficiency is evaluated according to EN50530 standard in static and dynamic conditions. The experimental results show that the proposed MPC-MPPT is a quick and accurate tracker under very fast changing irradiance, while maintaining high tracking efficiency even under very low irradiance.

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Section: Operation Principle Of Finite-control-set Mpc-mentioning

confidence: 99%

Section: B Switching States Generationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Dual-Discrete Model Predictive Control-Based MPPT for PV Systems

Lashab

Séra

Guerrero

2019

IEEE Trans. Power Electron.

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“…The MPPT strategies can be classified into two main categories: the stand-alone MPPTs [1-5] and the converter-embedded MPPTs [6][7][8][9][10]. A stand-alone MPPT is an independent module that uses the PV voltage and current to determine the input voltage reference to be transmitted to all converters installed.…”

Section: Introductionmentioning

confidence: 99%

A Novel Fast MPPT Strategy for High Efficiency PV Battery Chargers

Espı́

Castelló

2019

Energies

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The paper presents a new maximum power point tracking (MPPT) method for photovoltaic (PV) battery chargers. It consists of adding a low frequency modulation to the duty-cycle and then multiplying the ac components of the panel voltage and power. The obtained parameter, proportional to the conductance error, is used as a gain for the integral action in the charging current control. The resulting maximum power point (MPP) is very still, since the integral gain tends to zero at the MPP, yielding PV efficiencies above 99%. Nevertheless, when the operating point is not the MPP, the integral gain is large enough to provide a fast convergence to the MPP. Furthermore, a fast power regulation on the right side of the MPP is achieved in case the demanded power is lower than the available maximum PV power. In addition, the MPPT is compatible with the control of a parallel arrangement of converters by means of a droop law. The MPPT algorithm gives an averaged duty-cycle, and the droop compensation allows duty-cycles to be distributed to all active converters to control their currents individually. Moreover, the droop strategy allows activation and deactivation of converters without affecting the MPP and battery charging operation. The proposed control has been assayed in a battery charger formed by three step-down converters in parallel using synchronous rectification, and is solved in a microcontroller at a sampling frequency of 4 kHz. Experimental results show that, in the worst case, the MPPT converges in 50 ms against irradiance changes and in 100 ms in case of power reference changes.

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“…In order to overcome the problem of defining the time constant of the filters, modified RCC-MPPT algorithms have been introduced in [5,12]. Similar methods are also presented in [5], in which the moving average (MAvg) concept has been used instead of high/low-pass filters to identify PV current and voltage oscillations (second-order harmonic components).…”

Section: Introductionmentioning

confidence: 99%

A Single-Phase Multilevel PV Generation System with an Improved Ripple Correlation Control MPPT Algorithm

Hammami

Grandi

2017

Energies

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Abstract:The implementation of maximum power point tracking (MPPT) schemes by the ripple correlation control (RCC) algorithm is presented in this paper. A reference is made to single-phase single-stage multilevel photovoltaic (PV) generation systems, when the inverter input variables (PV voltage and PV current) have multiple low-frequency (ripple) harmonics. The harmonic analysis is carried out with reference to a multilevel configuration consisting of an H-bridge inverter and level doubling network (LDN) cell, leading to the multilevel inverter having double the output voltage levels as compared to the basic H-bridge inverter topology (i.e., five levels vs. three levels). The LDN cell is basically a half-bridge fed by a floating capacitor, with self-balancing voltage capability. The multilevel configuration introduces additional PV voltage and current low-frequency harmonics, perturbing the basic implementation of the RCC scheme (based on the second harmonic component), leading to malfunctioning. The proposed RCC algorithm employs the PV current and voltage harmonics at a specific frequency for the estimation of the voltage derivative of power dP/dV (or dI/dV), driving the PV operating point toward the maximum power point (MPP) in a faster and more precise manner. The steady-state and transient performances of the proposed RCC-MPPT schemes have been preliminarily tested and compared using MATLAB/Simulink. Results have been verified by experimental tests considering the whole multilevel PV generation system, including real PV modules, multilevel insulated-gate bipolar transistor (IGBT) inverters, and utility grids.

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High-Performance Solar MPPT Using Switching Ripple Identification Based on a Lock-In Amplifier

Cited by 63 publications

References 41 publications

A Dual-Discrete Model Predictive Control-Based MPPT for PV Systems

A Dual-Discrete Model Predictive Control-Based MPPT for PV Systems

A Novel Fast MPPT Strategy for High Efficiency PV Battery Chargers

A Single-Phase Multilevel PV Generation System with an Improved Ripple Correlation Control MPPT Algorithm

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