Design and Implementation of Photovoltaic Power Conditioning System using a Current-based Maximum Power Point Tracking

Lee, Sanghoey; Kim, Jae-Eon; Cha, Hanju

doi:10.5370/jeet.2010.5.4.606

Cited by 22 publications

(14 citation statements)

References 11 publications

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“…Therefore, the idea is to make the power converter work at two operation points, as presented in Fig. 4, in order to remove the unknown variable V s from (6). By subtracting (7) from (6), V s is avoided, as can be seen in (8).…”

Section: A Grid Impedance Estimationmentioning

confidence: 99%

Stability Improvement of Distributed Power Generation Systems with an LCL-Filter Using Gain Scheduling Based on Grid Impedance Estimations

Choi¹,

Lee²

2011

Journal of Power Electronics

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This paper proposes a gain scheduling method that improves the stability of grid-connected systems employing an LCL-filter. The method adjusts the current controller gain through an estimation of the grid impedance in order to reduce the resonance that occurs when using an LCL-filter to reduce switching harmonics. An LCL-filter typically has a frequency spectrum with a resonance peak. A change of the grid-impedance results in a change to the resonant frequency. Therefore an LCL-filter needs a damping method that is applicable when changing the grid impedance for stable system control. The proposed method instantaneously estimates the grid impedance and observes the resonant frequency at the same time. Consequently, the proposed method adjusts the current controller gain using a gain scheduling method in order to guarantee current controller stability when a change in the resonant frequency occurs. The effectiveness of the proposed method has been verified by simulations and experimental results.

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Section: A Grid Impedance Estimationmentioning

confidence: 99%

Stability Improvement of Distributed Power Generation Systems with an LCL-Filter Using Gain Scheduling Based on Grid Impedance Estimations

Choi¹,

Lee²

2011

Journal of Power Electronics

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“…Non-linear systems can be approximated by multi-layer neural networks and these multi-layer networks have better result in comparison with the other algorithm [16,18]. In this paper, feed forward neural network for MPPT process control is used.…”

Section: Mppt Improvement By Combination Of Proposed Ann With Gamentioning

confidence: 99%

Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

Izadbakhsh¹,

Rezvani²,

Gandomkar³

2015

Archives of Electrical Engineering

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Abstract:In this paper, dynamic response improvement of the grid connected hybrid system comprising of the wind power generation system (WPGS) and the photovoltaic (PV) are investigated under some critical circumstances. In order to maximize the output of solar arrays, a maximum power point tracking (MPPT) technique is presented. In this paper, an intelligent control technique using the artificial neural network (ANN) and the genetic algorithm (GA) are proposed to control the MPPT for a PV system under varying irradiation and temperature conditions. The ANN-GA control method is compared with the perturb and observe (P&O), the incremental conductance (IC) and the fuzzy logic methods. In other words, the data is optimized by GA and then, these optimum values are used in ANN. The results are indicated the ANN-GA is better and more reliable method in comparison with the conventional algorithms. The allocation of a pitch angle strategy based on the fuzzy logic controller (FLC) and comparison with conventional PI controller in high rated wind speed areas are carried out. Moreover, the pitch angle based on FLC with the wind speed and active power as the inputs can have faster response that lead to smoother power curves, improving the dynamic performance of the wind turbine and prevent the mechanical fatigues of the generator.

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“…Furthermore, in this way, convergence speed is higher than the other two ways mentioned. A weakness of fuzzy logic, compared to neural network, refers to oscillations of output power around the MPP [16]. Nowadays, artificial intelligence (AI) techniques have numerous applications in determining the size of PV systems, MPPT control and the optimal structure of photovoltaic systems [17].…”

Section: Introductionmentioning

confidence: 99%

Improvement of Microgrid Dynamic Performance under Fault Circumstances using ANFIS for Fast Varying Solar Radiation and Fuzzy Logic Controller for Wind System

Izadbakhsh¹,

Rezvani²,

Gandomkar³

2014

Archives of Electrical Engineering

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Abstract:The microgrid (MG) technology integrates distributed generations, energy storage elements and loads. In this paper, dynamic performance enhancement of an MG consisting of wind turbine was investigated using permanent magnet synchronous generation (PMSG), photovoltaic (PV), microturbine generation (MTG) systems and flywheel under different circumstances. In order to maximize the output of solar arrays, maximum power point tracking (MPPT) technique was used by an adaptive neuro-fuzzy inference system (ANFIS); also, control of turbine output power in high speed winds was achieved using pitch angle control technic by fuzzy logic. For tracking the maximum point, the proposed ANFIS was trained by the optimum values. The simulation results showed that the ANFIS controller of grid-connected mode could easily meet the load demand with less fluctuation around the maximum power point. Moreover, pitch angle controller, which was based on fuzzy logic with wind speed and active power as the inputs, could have faster responses, thereby leading to flatter power curves, enhancement of the dynamic performance of wind turbine and prevention of both frazzle and mechanical damages to PMSG. The thorough wind power generation system, PV system, MTG, flywheel and power electronic converter interface were proposed by using Mat-lab/Simulink.

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Design and Implementation of Photovoltaic Power Conditioning System using a Current-based Maximum Power Point Tracking

Cited by 22 publications

References 11 publications

Stability Improvement of Distributed Power Generation Systems with an LCL-Filter Using Gain Scheduling Based on Grid Impedance Estimations

Stability Improvement of Distributed Power Generation Systems with an LCL-Filter Using Gain Scheduling Based on Grid Impedance Estimations

Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

Improvement of Microgrid Dynamic Performance under Fault Circumstances using ANFIS for Fast Varying Solar Radiation and Fuzzy Logic Controller for Wind System

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