An Improved MPPT Controller for Photovoltaic System Under Partial Shading Condition

Chen, Kai; Tian, Shulin; Cheng, Yuhua; Bai, Libing

doi:10.1109/tste.2014.2315653

Cited by 204 publications

(61 citation statements)

References 16 publications

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“…Nevertheless, large power variations are generated by scanning the PV curve; moreover the GMPPT results in energy losses. In [11], distributed PV voltage sensors are added to the PV array, allowing to predict the location of the global MPP in the PV curve. Even though this method may generate possible failures and has a higher cost, it allows to diminish energy losses caused by a blind scan of the PV curve.…”

Section: Introductionmentioning

confidence: 99%

Ultracapacitor storage enabled global MPPT for photovoltaic central inverters

Müller

Renaudineau

Flores‐Bahamonde

et al. 2017

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)

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Abstract-In most large-scale grid-tied photovoltaic (PV) plants, central inverter configurations are used, mainly due to higher converter efficiency and lower cost per kW . However, compared to other configurations, its Maximum Power Point Tracking (MPPT) efficiency is the lowest since it is the less distributed configuration. Under non-uniform conditions, as mismatch caused by aging and/or partial shading, several local maxima may arise in the PV curve, hence requiring additional actions to maximize the output power of the PV plant. Moreover, tighter grid codes have appeared, requiring for PV systems to limit power fluctuations. This paper presents an alternative to perform Global MPPT (GMPPT) while complying with stiffer grid code limitations. The proposed alternative adds an Energy Storage System (ESS) at inverter level, consisting of an ultracapacitor (UC) bank connected to the DC-link of a PV central inverter through interleaved DC-DC power converters. The proposed configuration is preliminary validated through simulations and tested under extreme conditions. The performance of the system is analyzed and compared to other existing solutions.

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Section: Introductionmentioning

confidence: 99%

Ultracapacitor storage enabled global MPPT for photovoltaic central inverters

Müller

Renaudineau

Flores‐Bahamonde

et al. 2017

2017 IEEE 26th International Symposium on Industrial Electronics (ISIE)

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“…Maximum power point trackers (MPPT) in PV systems are responsible for detecting the maximum power point (MPP) and reaching it by the PV modules [4]. Conventional MPPT techniques track well the MPP under zero-shading conditions [5], however when partial shade condition (PSC) occurs, these methods are trapped at local maximum.…”

Section: Introductionmentioning

confidence: 99%

A Review of MPPT Algorithms for Partial Shading Conditions

Erdem

2017

Acta Phys. Pol. A

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Maximum power point tracker in a photovoltaic system allows to maximize the energy drawn from the connected photovoltaic modules. In the partial shade conditions there can be more than one maximum point in photovoltaic output power curve. The solution for this situation is a maximum power point tracker algorithm, which finds the global maximum. In literature, there is a large number of studies on maximum power point trackers. Therefore designers are drowning in a sea of knowledge. This study eliminates similar studies and classified them into groups, and at the end of the study a comparison table is given to guide the designers in the performance information of the selected studies. This study aims to guide the designers to make a sensible selection of a maximum power point tracker algorithm for partial shade conditions.

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“…Based on comprehensive study of the P-V characteristics of partially shaded arrays, Patel and Agarwal (2008) has proposed a technique which is capable of tracking the Global Peak (GP) of a PV array under non uniform irradiance conditions. Even though the MPPT technique does not require scanning the entire P-V curve, Chen et al (2014) has shown that the time required to perform such a scanning can be as high as 8.6 s. The MPPT algorithm proposed in Chen et al…”

Section: Introductionmentioning

confidence: 99%