The maximum power point tracking technology of passivity-based photovoltaic grid-connected system

Bao, Xueyu; Wang, Jiuhe; Xiang, Hao; Ma, Yong

doi:10.1109/ipemc.2012.6259003

Cited by 4 publications

(4 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed PBSMC is compared with the existing latest techniques, i.e. Fractional order PID (FOPID) [32], Passivity based fractional order PID (PBFOPID) [32] and PBC [5,31], under three cases a) irradiance change b) irradiance and temperature change c) power grid voltage drop.…”

Section: Plos Onementioning

confidence: 99%

“…Three representative control systems, i.e, FOPID [32], PBFOPID control [32], and PBC control [5,31] along with the proposed PBSMC system are simulated and analyzed under the subsequent three cases, i.e. (a) Solar irradiance change in the presence of constant temperature; (b) Solar irradiance change plus temperature variation; and (c) Power grid voltage drop; Furthermore, because the control inputs may exceed the PV inverter's acceptable capacity at some operating points, their values are restricted in the range [-1.3, 1.3].…”

Section: Case Studiesmentioning

confidence: 99%

“…The PV cell is the fundamental unit and vital part of a photovoltaic system and its output power is subjected to illumination, temperature of photoelectric material, and component aging, etc. The productivity distinctiveness of photovoltaic cells is altering with the change of environmental factors which is always non-linear [5]. The photovoltaic has seen an increase in efficiency because of the innovations of the solar cells.…”

Section: Introductionmentioning

confidence: 99%

“…PIPBC was a model for bilinear model incorporated by electronic power converters. To obtain fast and accurate photovoltaic systems in terms of environmental changes a passivity-based MPPT controller was developed in [5] for grid-connected PV systems. PBCs with damping techniques and energy shaping methods of injectors for the power modulation PV/battery hybrid power sources have been synthesized in [26].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Passivity-based Rieman Liouville fractional order sliding mode control of three phase inverter in a grid-connected photovoltaic system

Khan,

Agha

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Photovoltaic (PV) system parameters are always non-linear due to variable environmental conditions. The Maximum power point tracking (MPPT) is difficult under multiple uncertainties, disruptions and the occurrence of time-varying stochastic conditions. Therefore, Passivity based Fractional order Sliding-Mode controller (PBSMC) is proposed to examine and develop a storage function in error tracking for PV power and direct voltage in this research work. A unique sliding surface for Fractional Order Sliding Mode Control (FOSMC) framework is proposed and its stability and finite time convergence is proved by implementing Lyapunov stability method. An additional input of sliding mode control (SMC) is also added to a passive system to boost the controller performance by removing the rapid uncertainties and disturbances. Therefore, PBSMC, along with globally consistent control efficiency under varying operating conditions is implemented with enhanced system damping and substantial robustness. The novelty of the proposed technique lies in a unique sliding surface for FOSMC framework based on Riemann Liouville (R-L) fractional calculus. Results have shown that the proposed control technique reduces the tracking error in PV output power, under variable irradiance conditions, by 81%, compared to fractional order proportional integral derivative (FOPID) controller. It is reduced by 39%, when compared to passivity based control (PBC) and 28%, when compared to passivity based FOPID (EPBFOPID). The proposed technique led to the least total harmonic distortion in the grid side voltage and current. The tracking time of PV output power is 0.025 seconds in PBSMC under varying solar irradiance, however FOPID, PBC, EPBFOPID, have failed to converge fully. Similarly the dc link voltage has tracked the reference voltage in 0.05 seconds however the rest of the methods either could not converge, or converged after significant amount of time. During solar irradiance and temperature change, the photovoltaic output power has converged in 0.018 seconds using PBSMC, however remaining methods failed to converge or track fully and the dc link voltage has minimum tracking error due to PBSMC as compared to the other methods. Furthermore, the photovoltaic output power converges to the reference power in 0.1 seconds in power grid voltage drop, whereas other methods failed to converge fully. In addition power is also injected from the PV inverter into the grid at unity power factor.

show abstract

Section: Plos Onementioning

confidence: 99%

Section: Case Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Passivity-based Rieman Liouville fractional order sliding mode control of three phase inverter in a grid-connected photovoltaic system

Khan,

Agha

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

show abstract

Passivity-based fractional-order sliding-mode control design and implementation of grid-connected photovoltaic systems

Yang

Shu

et al. 2018

Journal of Renewable and Sustainable Energy

View full text Add to dashboard Cite

In order to achieve the maximum power point tracking (MPPT) of Photovoltaic (PV) systems in the presence of time-varying stochastic operation conditions and various uncertainties/disturbances, a passivity-based fractional-order sliding-mode control (PbFoSMC) scheme is proposed. The design can be classified into two steps, i.e., (a) Construct a storage function in terms of the tracking error of DC-link voltage, DC-link current and q-axis current for the PV system, upon which the actual characteristics of each term is thoroughly analyzed. Moreover, the beneficial terms are carefully retained to enhance the dynamical responses of the closed-loop system while the detrimental terms are fully removed to realize a global control consistency; (b) Based on the passivized system, a fractional-order sliding-mode control (FoSMC) is incorporated as an additional input, which can considerably improve the control performance with the aim of rapid uncertainties/disturbances rejection. Four case studies, including the solar irradiance change, temperature variation, power grid voltage drop, and PV inverter parameter uncertainties, are undertaken to evaluate the effectiveness of PbFoSMC in comparison to that of PID control, passivity-based control (PBC), and sliding-mode control (SMC), respectively. At last, a dSpace based hardware-in-loop (HIL) test is carried out to validate the implementation feasibility of PbFoSMC.

show abstract

Nonlinear adaptive control of PV inverter for maximum solar energy harvesting using democratic joint

Lai

Chen

et al. 2020

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

This study designs a novel nonlinear adaptive controller (NAC) of photovoltaic inverter in order to generate the maximum energy of solar power under different condition. Inverter nonlinearities, uncertain grid/inverter parameters, as well as inverter modelling uncertainties are aggregated into a perturbation. Then, a linear extended state observer (ESO), is applied for estimate the perturbation online. Meanwhile, a state feedback controller is used to calculate the perturbation in the real-time. Particularly, its optimal control parameters are effectively and efficiently tuned by a novel meta-heuristic algorithm, called democratic joint operations algorithm (DJOA), such that a satisfactory control property could be resulted in. Case studies verifies the effectiveness and advantages of NAC compared to conventional linear control, e.g., PID controller, and typical nonlinear control, e.g., feedback linearization controller (FLC), under solar irradiation variation and temperature variation.

show abstract

The maximum power point tracking technology of passivity-based photovoltaic grid-connected system

Cited by 4 publications

References 0 publications

Passivity-based Rieman Liouville fractional order sliding mode control of three phase inverter in a grid-connected photovoltaic system

Passivity-based Rieman Liouville fractional order sliding mode control of three phase inverter in a grid-connected photovoltaic system

Passivity-based fractional-order sliding-mode control design and implementation of grid-connected photovoltaic systems

Nonlinear adaptive control of PV inverter for maximum solar energy harvesting using democratic joint

Contact Info

Product

Resources

About