Regulation of Photovoltaic Voltage

Xiao, Weidong; Dunford, W.G.; Palmer, P.R.; Capel, A.

doi:10.1109/tie.2007.893059

Cited by 317 publications

(124 citation statements)

References 6 publications

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“…The continuous-time transfer function of the small-signal model of this circuit can be found in [35], with the duty cycle, D(s), being the system input and the PV voltage, Vpv(s), the system output. To introduce PV power, Ppv(s), as the system output in place of Vpv(s), the following relation is used between small perturbations ΔPpv and ΔVpv: where the gain K0, the undamped natural frequency ω0 and the damping factor ξ are given by:…”

Section: A System Model Linearizationmentioning

confidence: 99%

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Power Reserves Control for PV Systems With Real-Time MPP Estimation via Curve Fitting

Batzelis

Kampitsis

Papathanassiou

2017

IEEE Trans. Sustain. Energy

156

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-In order for a PV system to provide a full range of ancillary services to the gird, including frequency response, it has to maintain active power reserves. In this paper, a new control scheme for the dc/dc converter of a two-stage PV system is introduced, which permits operation at a reduced power level, estimating the available power (maximum power point -MPP) at the same time. This control scheme is capable of regulating the output power to any given reference, from near-zero to 100% of the available power. The proposed MPP estimation algorithm applies curve fitting on voltage and current measurements obtained during operation to determine the MPP in real time. This is the first method in the literature to use the non-simplified singlediode model for the determination of the MPP and the five model parameters while operating at a curtailed power level. The developed estimation technique exhibits very good accuracy and robustness in presence of noise and rapidly changing environmental conditions. The effectiveness of the control scheme is validated through simulation and experimental tests using a 2 kW PV array and a dc/dc converter prototype at constant and varying irradiance conditions. Index Terms -Active power control, curve fitting, linearized converter model, maximum power point tracking (MPPT), photovoltaic (PV), power reserves, single-diode model.

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Section: A System Model Linearizationmentioning

confidence: 99%

“…The "delay" block in Fig. 7 is a first-order Pade approximation [35] of the aggregate (digital) delay Td corresponding to the PWM and execution time delays (in this case equal to the switching period Tc=50 μs). Therefore, the …”

Section: B Closed Loop Systemmentioning

confidence: 99%

Power Reserves Control for PV Systems With Real-Time MPP Estimation via Curve Fitting

Batzelis

Kampitsis

Papathanassiou

2017

IEEE Trans. Sustain. Energy

156

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“…The corresponding values of mode and mean are different, so the unimodality has to be tested by (5), and all of the distributions satisfy the constraint U* < 186/125. Nevertheless, it is important to point up that the sign of skewness is changed for all the six distributions; so, until March, the data was spread out more to the right of the mean than to the left, but, on the yearly basis, they are spread out more to the left of the mean and this happens for each array.…”

Section: Yearly Analysis (January-december)mentioning

confidence: 99%

“…Several models that are able to evaluate the effects of such uncertainties have been proposed in [1][2][3][4][5][6][7][8][9], whereas the statistical methods have been used for the design of PV plants [10,11] and for the suitable choice of the electrical components [12,13]. When a PV plant is operating, a monitoring system to check the performance in all the environmental conditions is needed.…”

Section: Introductionmentioning

confidence: 99%

Statistics to Detect Low-Intensity Anomalies in PV Systems

Vergura

Carpentieri

2017

Energies

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Abstract:The aim of this paper is the monitoring of the energy performance of Photovoltaic (PV) plants in order to detect the presence of low-intensity anomalies, before they become failures or faults. The approach is based on several statistical tools, which are applied iteratively as the data are acquired. At every loop, new data are added to the previous ones, and a proposed procedure is applied to the new dataset, therefore the analysis is carried out on cumulative data. In this way, it is possible to track some specific parameters and to monitor that identical arrays in the same operating conditions produce the same energy. The procedure is based on parametric (ANOVA) and non-parametric tests, and results effective in locating anomalies. Three cumulative case studies, based on a real operating PV plant, are analyzed.

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“…A wide variety of them have been proposed in the literature, some of the most recent being described in [11]- [19]. In this paper, the perturb and observe (P&O) technique is considered due to its high performance and simple and cost-effective implementation [20].…”

Section: DC Analysis Of a String Of Scpvmsmentioning

confidence: 99%

Distributed maximum power point tracking of photovoltaic arrays: Novel approach and system analysis

Femia

Lisi

Petrone

et al. 2008

IEEE Trans. Ind. Electron.

504

218

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Abstract-One of the major drawbacks of photovoltaic (PV) systems is represented by the effect of module mismatching and of partial shading of the PV field. Distributed maximum power point tracking (DMPPT) is a very promising technique that allows the increase of efficiency and reliability of such systems. Modeling and designing a PV system with DMPPT is remarkably more complex than implementing a standard MPPT technique. In this paper, a DMPPT system for PV arrays is proposed and analyzed. A dc and small-signal ac model is derived to analyze steady-state behavior, as well as dynamics and stability, of the whole system. Finally, simulation results are reported and discussed.

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Regulation of Photovoltaic Voltage

Cited by 317 publications

References 6 publications

Power Reserves Control for PV Systems With Real-Time MPP Estimation via Curve Fitting

Power Reserves Control for PV Systems With Real-Time MPP Estimation via Curve Fitting

Statistics to Detect Low-Intensity Anomalies in PV Systems

Distributed maximum power point tracking of photovoltaic arrays: Novel approach and system analysis

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