A PSO-Based Global MPPT Technique for Distributed PV Power Generation

Renaudineau, Hugues; Donatantonio, Fabrizio; Fontchastagner, Julien; Petrone, G.; Spagnuolo, G.; Martin, Jean-Philippe; Pierfederici, Serge

doi:10.1109/tie.2014.2336600

Cited by 292 publications

(132 citation statements)

References 32 publications

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“…A typical twostage single-phase PV grid-connected system mainly involves two key technologies: maximum power point tracking (MPPT) and DC-AC inverter control. Common MPPT control method such as constant voltage tracking(CVT) [4], incremental conductance(INC) method [5] [6], perturbation and observation method [7], and intelligent methods such as fuzzy control [8], neural network [9][10], particle swarm optimization [11] [12] are proposed to track the MPP to increase the efficiency of the PV system. The CVT scheme, which ignores the influence of a1111111111 a1111111111 a1111111111 a1111111111 a1111111111 environment factors, is just a means of voltage stabilizing strategy rather than the MPPT, having low precision and poor adaptability; perturbation and observation method may oscillate in the vicinity of the maximum power point; intelligent methods have satisfactory adaptability to the environment conditions, however the control algorithm is complicated.…”

Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy sliding control of single-phase PV grid-connected inverter

Fei

Zhu

2017

2017 IEEE International Conference on Mechatronics and Automation (ICMA)

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In this paper, an adaptive fuzzy sliding mode controller is proposed to control a two-stage single-phase photovoltaic (PV) grid-connected inverter. Two key technologies are discussed in the presented PV system. An incremental conductance method with adaptive step is adopted to track the maximum power point (MPP) by controlling the duty cycle of the controllable power switch of the boost DC-DC converter. An adaptive fuzzy sliding mode controller with an integral sliding surface is developed for the grid-connected inverter where a fuzzy system is used to approach the upper bound of the system nonlinearities. The proposed strategy has strong robustness for the sliding mode control can be designed independently and disturbances can be adaptively compensated. Simulation results of a PV gridconnected system verify the effectiveness of the proposed method, demonstrating the satisfactory robustness and performance.

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Section: Introductionmentioning

confidence: 99%

Adaptive fuzzy sliding control of single-phase PV grid-connected inverter

Fei

Zhu

2017

2017 IEEE International Conference on Mechatronics and Automation (ICMA)

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“…It is important to operate the photovoltaic power generation unit near the maximum power point to increase the efficiency of the system [6,7]. The current and power of a PV array depend mainly on the array terminal operating voltage.…”

Section: Introductionmentioning

confidence: 99%

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

Atawi

Kassem

2017

Energies

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This paper investigates how to increase the efficiency of a photovoltaic/energy storage generation unit supplying dynamic loads by regulating and managing both the photovoltaic generator and the storage battery charge-discharge modes. The proposed photovoltaic/energy storage unit is proposed to supply an induction motor driven industrial pump with controlled speed and/or a DC motor driven water pump. An optimal proportional-integral-derivative control based on an Artificial Bee Colony Optimization algorithm is used to regulate the photovoltaic generator in case of normal operation or in case of maximum power point tracking (MPPT) and to also control the battery storage charge discharge modes. A vector control based on the proposed optimal control is used to regulate the induction motor rotor speed at its low reference values needed by the industrial pump. First, a total model of the entire system is obtained. The controller performance with the proposed system is studied with both a DC motor and/or induction motor loads. Simulation results show that the proposed photovoltaic/storage generator is able to supply the suggested dynamic loads under different conditions and with good performance. Also, it is noticed that operating the photovoltaic base on maximum power point tracking condition will give about 43% extra generation power than the normal operation case.

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“…In [10], an alternative to track the global MPP by modifying the voltage reference is shown. Nevertheless, large power variations are generated by scanning the PV curve; moreover the GMPPT results in energy losses.…”

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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A PSO-Based Global MPPT Technique for Distributed PV Power Generation

Abstract: International audienc

Cited by 292 publications

References 32 publications

Adaptive fuzzy sliding control of single-phase PV grid-connected inverter

Adaptive fuzzy sliding control of single-phase PV grid-connected inverter

Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications

Ultracapacitor storage enabled global MPPT for photovoltaic central inverters

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