Improved control of shunt active power filter connected to a photovoltaic system using technique of direct power control

Krama, Abdelbasset; Zellouma, Laid; Rabhi, Boualaga

doi:10.1109/icmic.2016.7804239

Cited by 16 publications

(19 citation statements)

References 14 publications

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“…As a compromise, Sliding mode control (SMC) -based MPPT has been selected [20] due to its accuracy and high robustness in maximum power tracking [21]. It may be an interesting alternative, especially in cases of sudden changes in solar irradiance [22].On the other hand, the widespread use of nonlinear loads in manufacturing activities as well as for domestic reasons has had an undesirable impact on the quality of electric power systems [23,24]. These nonlinear loads draw non-sinusoidal currents from utility grids, which create harmonic currents and low power factors [25,26].…”

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confidence: 99%

“…The latter present many harmful effects like power losses, heat and saturation of transformers, and the degradation of electrical devices [25,27]. On the other hand, the increased demand of good quality of power makes the use of power quality improvement devices essential [28], and much research is interested in double function grid-tied PV systems to simultaneously perform power quality improvement and active power injections.The control of double function grid-tied PV system is an effective research field, and numerous control strategies have been discussed in the literature [1,24,[29][30][31]. They are mainly classified into two main categories: direct and indirect methods.…”

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confidence: 99%

“…Reducing the number of sensors becomes an interesting subject due to many returns such as cost, size reduction, simplicity of implementation, and avoiding precision loss. In recent years, indirect control strategies have aroused the attention of many researchers; such strategies include Direct Power Control (DPC), that focuses on a predefined switching table to select the appropriate control vector [24,35,36], a predictive direct power control (P-DPC) based on cost function minimization, and predictive current control, that uses the currents as control variables instead of powers as in P-DPC [29,37]. These three strategies require current sensors only at the main source; they do not take into consideration the impact of load or filter current compared to conventional ones.…”

mentioning

confidence: 99%

“…On the other hand, the widespread use of nonlinear loads in manufacturing activities as well as for domestic reasons has had an undesirable impact on the quality of electric power systems [23,24]. These nonlinear loads draw non-sinusoidal currents from utility grids, which create harmonic currents and low power factors [25,26].…”

mentioning

confidence: 99%

“…The control of double function grid-tied PV system is an effective research field, and numerous control strategies have been discussed in the literature [1,24,[29][30][31]. They are mainly classified into two main categories: direct and indirect methods.…”

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confidence: 99%

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Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm

Krama

Zellouma²,

Rabhi

et al. 2018

Energies

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This paper proposes a high performance control scheme for a double function grid-tied double-stage PV system. It is based on model predictive power control with space vector modulation. This strategy uses a discrete model of the system based on the time domain to generate the average voltage vector at each sampling period, with the aim of canceling the errors between the estimated active and reactive power values and their references. Also, it imposes a sinusoidal waveform of the current at the grid side, which allows active power filtering without a harmonic currents identification phase. The latter attempts to reduce the size and cost of the system as well as providing better performance. In addition, it can be implemented in a low-cost control platform due to its simplicity. A double-stage PV system is selected due to its flexibility in control, unlike single-stage strategies. Sliding mode control-based particle swarm optimization (PSO) is used to track the maximum power of the PV system. It offers high accuracy and good robustness. Concerning DC bus voltage of the inverter, the anti-windup PI controller is tuned offline using the particle swarm optimization algorithm to deliver optimal performance in DC bus voltage regulation. The overall system has been designed and validated in an experimental prototype; the obtained results in different phases demonstrate the higher performance and the better efficiency of the proposed system in terms of power quality enhancement and PV power injection.Energies 2018, 11, 3516 2 of 26 and in the center of a big city [6], because sunlight is available almost everywhere. Photovoltaic electricity can be produced as close as possible to its place of consumption in a decentralized way [7], directly to the user, which makes it accessible to a large part of the world's population.Much research and development are conducted about the critical elements of photovoltaic energy; starting with energy generation [6], conversion, then injection into the network [8], as well as energy management [9]. The key problem with photovoltaic energy generation is the difficulty of achieving the highest energy yield for PV panels. The voltage of a PV panel strongly depends on the connected load due to the non-linear behavior of the PV cell [10]. Therefore, various Maximum Power Point Tracking (MPPT) algorithms have been established to allow panels operate in optimal conditions, and thus, to track the maximum power point [6,11]. Among these algorithms are "Perturbation & Observation (P&O)" [12] and "incremental conductance (InCon)" [13] which are the most used due to the simplicity of their implementation. However, the abovementioned methods are constrained by the amplitude of the injected perturbations, which determines the importance of the oscillations around the Maximum power point (MPP) as well as the convergence time. To overcome this problem, several algorithms have been developed based on techniques derived from artificial intelligence such as Fuzzy Logic [14], Neural Network [15], Neuro-Fuz...

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Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm

Krama

Zellouma²,

Rabhi

et al. 2018

Energies

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Intelligent Solar Shunt Active Power Filter Based on Direct Power Control Strategy

Boudechiche

Sarra

Aissa

et al. 2020

Artificial Intelligence and Renewables Towards an Energy Transition

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This paper deals with a double-stage grid-connected photovoltaic (PV) system, operating as a shunt active power filter in order to improve the power quality and to supply the extracted PV power to the utility, simultaneously. On the grid side, a direct power control (DPC) is developed to supply the harvested PV energy into the electrical network based on the provided reference, which is estimated for unwanted harmonics and reactive power eliminations. On the PV side, an intelligent method of tracking the maximum power point based on fuzzy logic has been adopted to eventually solve the problem of the rapidly changing weather conditions. The overall control scheme is examined by simulation using MATLAB/Simulink software. The obtained simulation results demonstrate the feasibility, performance, and robustness of these control strategies under different test conditions.

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Study and Simulation of SAPF Interconnected to a PV System Based on DPC with Disturbance Rejection Principle

Boudechiche,

Aissa,

Sarra

et al. 2024

Springer Proceedings in Energy

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Improved control of shunt active power filter connected to a photovoltaic system using technique of direct power control

Cited by 16 publications

References 14 publications

Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm

Real-Time Implementation of High Performance Control Scheme for Grid-Tied PV System for Power Quality Enhancement Based on MPPC-SVM Optimized by PSO Algorithm

Intelligent Solar Shunt Active Power Filter Based on Direct Power Control Strategy

Study and Simulation of SAPF Interconnected to a PV System Based on DPC with Disturbance Rejection Principle

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