Comparison of Different Photovoltaic Perturb and Observe Algorithms for Drift Avoidance in Fluctuating Irradiance Conditions

Riquelme-Dominguez, Jose Miguel; Martínez, Sergio

doi:10.1109/eeeic/icpseurope49358.2020.9160791

Cited by 22 publications

(10 citation statements)

References 8 publications

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“…To avoid this, some modified P&O algorithms have been presented in the literature. Among them, dP-P&O algorithm [17] shows the best performance under variable irradiance conditions [21]. The novelty of the dP-P&O algorithm compared with the conventional P&O algorithm is introduced in the calculation of DP pv , denoted as dP.…”

Section: Startmentioning

confidence: 99%

Decoupled Photovoltaic Power Ramp-rate Calculation Method for Perturb and Observe Algorithms

Riquelme-Dominguez

González-Longatt

Martínez

2022

Journal of Modern Power Systems and Clean Energy

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As photovoltaic energy increasingly penetrates in power systems, transmission system operators have started to request its participation in providing ancillary services. One of the demanded services is the power ramp-rate control (PRRC), which attempts to limit the power ramps produced by intermittent irradiance conditions. In order to achieve the desired objective, solutions based on storage systems or modifying the maximum power point tracking (MPPT) in perturb and observe (P&O) algorithms are commonly adopted. The starting point in PRRC is the determination of the instantaneous power ramprate, and different methods have been proposed in the literature for its calculation. However, the accuracy and computational speed of existing procedures can be improved, which may be critical in situations with rapid irradiance fluctuations. In this paper, a decoupled photovoltaic power ramp-rate calculation method is presented, in which the effect of variable irradiance and the P&O algorithm are computed separately. The proposed method has been theoretically demonstrated and tested through simulation and experimental tests. Simulation results show that it can improve the previous methods in terms of accuracy and computation time. Experimental validation with hardware-inthe-loop demonstrates the suitability of the proposed method for real-time applications, even in presence of noisy measurements.Index Terms--Hardware-in-the-loop, maximum power point tracking, perturb and observe, photovoltaic, power ramp-rate control, ramp-rate calculation method.

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Section: Startmentioning

confidence: 99%

Decoupled Photovoltaic Power Ramp-rate Calculation Method for Perturb and Observe Algorithms

Riquelme-Dominguez

González-Longatt

Martínez

2022

Journal of Modern Power Systems and Clean Energy

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“…Table II summarizes the novelties of the proposed methodology in contrast to [20] and [21]. The authors recently compared the above mentioned algorithms in [27] through traditional switching modeling and with real field irradiance conditions. This paper presents an extension of [27], being the main contributions described below: 1) A methodology for systematically evaluate the performance of PV MPPT algorithms is proposed.…”

Section: Introductionmentioning

confidence: 99%

“…The authors recently compared the above mentioned algorithms in [27] through traditional switching modeling and with real field irradiance conditions. This paper presents an extension of [27], being the main contributions described below: 1) A methodology for systematically evaluate the performance of PV MPPT algorithms is proposed. This procedure aims to unify the different simulation settings available in the literature.…”

Section: Introductionmentioning

confidence: 99%

Systematic Evaluation of Photovoltaic MPPT Algorithms Using State-Space Models Under Different Dynamic Test Procedures

Riquelme-Dominguez

Martínez

2022

IEEE Access

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Maximum Power Point Tracking (MPPT) algorithms are essential in solar photovoltaic (PV) generation. In the last years, a major research effort has been made in order to get more efficient MPPT algorithms. However, in the literature, there is not a unique methodology for testing and comparing these kind of algorithms when facing dynamic irradiance conditions. This paper proposes a systematic way of evaluating and comparing MPPT algorithms for PV systems, at the simulation stage, unifying the following aspects: the PV system configuration, the type of simulation to be performed, and the dynamic irradiance tests to take into account. The MPPT algorithm is implemented into the dc-dc converter of the system for simplification purposes, simulations are carried out through state-space equations in order to reduce the total simulation time, and three irradiance dynamic tests are used systematically to provide full comparison under different environmental conditions. To test the flexibility of the proposed technique, a comparison of three commonly known Perturb and Observe (P&O) algorithms has been performed, giving special attention to the MPPT drift phenomenon. All interested researchers can request a computer application that implements the proposed methodology.

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“…Among the problems of the conventional P&O MPPT technique also, is the drift phenomenon where the algorithm can't distingue between power incrementation caused by the perturbation applied or by a wind speed increase 28 . Many solutions and modified P&O algorithms were proposed to solve that problem 29 …”

Section: Introductionmentioning

confidence: 99%

“…28 Many solutions and modified P&O algorithms were proposed to solve that problem. 29 Mishra et al 26 have used a modified P&O MPPT algorithm, with a fixed step size for the duty cycle variation, where theoretical analysis confirms that, only in speed increase condition, the change in dc-link current sign can be positive, so, the dc-link current change information was included, to detect the wind speed increase and follow the correct direction of power change.…”

mentioning

confidence: 99%

Experimental implementation of a novel scheduling algorithm for adaptive and modified P&O MPPT controller using fuzzy logic for WECS

Gouabi

Hazzab

Habbab

et al. 2021

Adaptive Control & Signal

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Summary This article proposes an adaptive and modified Perturb and Observe (P&O) maximum power point tracking (MPPT) algorithm, using fuzzy logic step size controller, for a wind energy conversion system (WECS) based on wound rotor synchronous generator. The modified P&O controller uses additional current information of the dc‐link, to decrease power oscillation around MPP, and choose the correct direction of the perturbation, while wind speed increase condition, depending on the sign of dc‐link current change. So, in this contribution, a modified drift‐free P&O algorithm was chosen because it gives better results, but the duty cycle step size in the proposed MPPT controller has been varied adaptively, using a fuzzy logic inference system based on the variation of the rectifier output power and the previous change of the duty cycle to get fast convergence until the MPP is reached in increasing and decreasing wind speed conditions. Performances and robustness of the proposed speed sensorless MPPT controller are evaluated in an experiment implementation, using a WECS emulator and dSpace DS1104 controller board, where experimental results show that the proposed method guarantees fast convergence with better energy quality and high robustness against speed or load change conditions.

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Comparison of Different Photovoltaic Perturb and Observe Algorithms for Drift Avoidance in Fluctuating Irradiance Conditions

Cited by 22 publications

References 8 publications

Decoupled Photovoltaic Power Ramp-rate Calculation Method for Perturb and Observe Algorithms

Decoupled Photovoltaic Power Ramp-rate Calculation Method for Perturb and Observe Algorithms

Systematic Evaluation of Photovoltaic MPPT Algorithms Using State-Space Models Under Different Dynamic Test Procedures

Experimental implementation of a novel scheduling algorithm for adaptive and modified P&O MPPT controller using fuzzy logic for WECS

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