Enhanced performance of PV power control using model predictive control

Franco, Fernand Diaz; Vu, Tuyen; Gonsulin, David; Vahedi, Hesan; Edrington, Chris S.

doi:10.1016/j.solener.2017.10.005

Cited by 19 publications

(3 citation statements)

References 34 publications

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“…Many types of MPPT algorithms used to maximize the PV system output power had been developed in the literature which can be divided into two types: classical methods, such as Perturbation and Observation (P&O), Incremental Conductance (IC), Pilot Cell (PC), and Constant-Voltage Constant-Current (CVCC); and artificial intelligent techniques, Neural Networks (NNs), Fuzzy Logic (FL), Neural-Fuzzy (NF), Genetic Algorithms (GAs), Particle Swam Optimism (PSO) and Sliding Mode (SM) [15][16][17][18][19][20][21][22][23]. In this work, a boost chopper has been controlled employing a pilot cell technique suggested in [24] to operate the PV system in the MPPT mode (see Fig.…”

Section: System Modelingmentioning

confidence: 99%

Power Quality Improvement of a Solar Energy Conversion System by a Coordinated Active and LCL Filtering

Ouai

Mokrani

Machmoum

et al. 2021

Period. Polytech. Elec. Eng. Comp. Sci.

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Power converters play an essential role in Photovoltaic (PV) system to maximize the power transfer to the electrical grid. However, the generated harmonics in the grids due to these power converters and nonlinear loads are considered one of the encountered problems to overcome. This paper presents a decoupled control of PV field real power and reactive power injected to the high voltage network via a PWM inverter by using fuzzy logic controllers. Elsewhere, a procedure based on a coordinated active and LCL filtering is proposed to mitigate the harmonic current introduced by a nonlinear load and the inverter itself in such a way to enhance the power quality injected into the grid. The results obtained in the present study show the good performance of the suggested hybrid filtering approach and demonstrate that almost all harmonics orders of the grid current are well mitigated; the current Total Harmonic Distortion (THD) meets its standard and consequently the power quality is considerably enhanced.

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Section: System Modelingmentioning

confidence: 99%

Power Quality Improvement of a Solar Energy Conversion System by a Coordinated Active and LCL Filtering

Ouai

Mokrani

Machmoum

et al. 2021

Period. Polytech. Elec. Eng. Comp. Sci.

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“…However, the control algorithm presented in this work possessed some limitations, and the control effect also had space for improvement, in addition, the energy storage unit was also not considered in the system. At present, the linear control theory has been widely investigated to power converters [12][13][14]. Due to the dynamic of the power, converters are nonlinear, and some parameters cannot be measured accurately.…”

Section: Introductionmentioning

confidence: 99%

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

Wang

Yan

et al. 2019

Solar Energy

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2018) A novel adaptive command-filtere backstepping sliding mode control for PV grid-connected system with energy storage. Solar Energy,. ISSN 0038-092X. AbstractTo solve the problems of power fluctuation in the photovoltaic (PV) grid-connected system and the nonlinearity in the model of inverters, a projection-based adaptive backstepping sliding mode controller with command-filter is designed in the system, in order to adjust the DC-link voltage and the AC-side current in the PV grid-connected system. Firstly, the mathematic model of the inverter in PV system is established, then backstepping control method is applied to control it, and the command filter is added to the controller to eliminate the differential expansion of the backstepping controller. Furthermore, the adaptive law based on Lyapunov stability theory is designed to estimate the uncertain parameters in the grid-connected inverter. A projection algorithm is introduced in the adaptive controller due to the demand of guaranteeing the bounded estimated value. Additionally, a sliding mode controller is increased to improve its robustness in this system.With the consideration of the influence of irradiation and temperature changes, a battery-energy-storage-system is applied to the DC-side to suppress the fluctuation of output power of the PV system. Finally, the simulation results demonstrate that the presented strategy can control the grid connected inverter precisely.

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“…Grid-injected PV generators are often cut off entirely when the grid encounters a stability issue [20]. In the microgrid context, partial PV shedding may be needed for different reasons, such as power balancing [21], dealing with the partial shading condition [22], supporting grid voltage by supplying reactive power [23] or the sudden increase of solar irradiance [24]. This type of shedding operation can be achieved by manipulating the PV output voltage and current.…”

Section: Introductionmentioning

confidence: 99%

Experimental Implementation of a Flexible PV Power Control Mechanism in a DC Microgrid

Locment

Sechilariu

2019

Energies

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The intermittent and highly variable nature of photovoltaic (PV) sources is always the major obstacle to the growth of their deployment. Research work is increasingly demonstrating that PV generation should not only be maximized but also flexible based on the system requirements. This article presents a simple and flexible PV control mechanism, which can seamlessly switch between maximum power point tracking mode and power limiting mode. It can be integrated into a DC microgrid for efficient energy management. The proposed mechanism has two configurations that respectively converge to a lower and a higher PV panel voltage to perform PV shedding. The experimental validation carried out in this study shows that this control can effectively adjust the PV generation despite some physical constraints. The limitations of the control mechanism and the energy efficiency are also analyzed. It can be concluded that each configuration can be particularly useful depending on the different application scenarios.

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Enhanced performance of PV power control using model predictive control

Cited by 19 publications

References 34 publications

Power Quality Improvement of a Solar Energy Conversion System by a Coordinated Active and LCL Filtering

Power Quality Improvement of a Solar Energy Conversion System by a Coordinated Active and LCL Filtering

A novel adaptive command-filtered backstepping sliding mode control for PV grid-connected system with energy storage

Experimental Implementation of a Flexible PV Power Control Mechanism in a DC Microgrid

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