Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach

Chu, Chen Chi; Chen, Chieh Li

doi:10.1016/j.solener.2009.03.005

Cited by 192 publications

(97 citation statements)

References 15 publications

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“…According to [13,14], the first control step is to designate the sliding surface, then the control rule is designed, so that the system state can be attracted to the sliding surface and it will not deviate from the sliding surface. The system at MPP must satisfy BP m BV m " 0, Equation (19) can be obtained [15]:…”

Section: Sliding Mode Control Mathematical Derivationmentioning

confidence: 99%

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Maximum Power Point Tracking and Harmonic Reducing Control Method for Generator-Based Exercise Equipment

2016

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This study uses a sliding mode control (SMC) in a generator-based exercise equipment (GBEE) with nonlinear P-V characteristic curves. A P-V characteristics curve can be influenced by varying the pedaling speed of the generator. The traditional maximum power point tracking (MPPT) control method is used with perturb and observe algorithms (P&O), extremum seeking control (ESC), etc. However, these control methods are not robust enough for control. SMC is created by two pattern methods for robustness control, approaching and sliding conditions. However, SMC allows infinite high-frequency switching of the sign function. If the sign function is used to switch the converter, it will cause the converter and switch life to be cut short, and also to form high frequency noise. Therefore, this study proposes an extension theory for an intelligent control method that will effectively improve conversion efficiency and responsiveness. This study compares generator input current waveforms for fast Fourier transform (FFT) for three different control methods. Finally, using simulation validates the stability and FFT analysis with power simulation (PSIM) software. The results of upgrading overall efficiency are about a 5% increase in efficiency and a faster response speed of about 0.5 s. The amount of generator input current harmonic is greatly reduced.

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Section: Sliding Mode Control Mathematical Derivationmentioning

confidence: 99%

“…Finally, the sliding mode controller designed by the Lyapunov theorem is used for validation; therefore, Equation (24) is required [13,14]:…”

Section: Settingmentioning

confidence: 99%

Maximum Power Point Tracking and Harmonic Reducing Control Method for Generator-Based Exercise Equipment

2016

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“…This problem has been addressed in [18][19][20][21] by using the sliding mode control technique. However, those works are based on two considerations difficult to apply to grid-connected PV systems: First, there is not considered a capacitor linking the PV array and the DC/DC converter; second, the load impedance is considered constant.…”

Section: Introductionmentioning

confidence: 99%

“…The worst case of that current ripple is exhibited by DC/DC converters with discontinuous input current, e.g., buck or buck-boost topologies, while DC/DC converters with continuous input current only inject the inductor current ripple, e.g., boost, Sepic or Cuk topologies. In any case, a capacitor in parallel with the PV source is almost always considered; in fact, the experimental scheme of [21] includes such a capacitor despite it is not taken into account for the SMC analysis. It must be noted that this capacitor defines the dynamic behavior of the PV voltage and power, therefore it must be considered in the PV controller design.…”

Section: Introductionmentioning

confidence: 99%

Sliding-Mode Controller for Maximum Power Point Tracking in Grid-Connected Photovoltaic Systems

Valencia

Ramos‐Paja

2015

Energies

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Abstract:The maximum power point tracking (MPPT) of photovoltaic systems must be as fast and accurate as possible to increase the power production, which eventually increases the PV system profitability. This paper proposes and mathematically analyses a sliding-mode controller to provide a fast and accurate maximum power point tracking in grid-connected photovoltaic systems using a single control stage. This approach avoids the circular dependency in the design of classical cascade controllers used to optimize the photovoltaic system operation, and at the same time, it reduces the number of controllers and avoids the use of linearized models to provide global stability in all the operation range. Such a compact solution also reduces the system cost and implementation complexity. To ensure the stability of the proposed solution, detailed mathematical analyses are performed to demonstrate the fulfillment of the transversality, reachability and equivalent control conditions. Finally, the performance of the proposed solution is validated using detailed simulations, executed in the power electronics simulator PSIM, accounting for both environmental and load perturbations.

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“…In recent years, many different technics have been applied in order to reach the maximum power. The most prevalent technics are perturbation and observation (P&O) algorithm [6,7], Incremental conductance (IC) [8,9], fuzzy logic [10,11] and artificial networks (ANN) [12][13][14]. According to the above mentioned researches, the benefits of perturbation and observation algorithm and incremental conductance are: 1 -low cost implementation, and 2 -simple algorithm.…”

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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Robust maximum power point tracking method for photovoltaic cells: A sliding mode control approach

Cited by 192 publications

References 15 publications

Maximum Power Point Tracking and Harmonic Reducing Control Method for Generator-Based Exercise Equipment

Maximum Power Point Tracking and Harmonic Reducing Control Method for Generator-Based Exercise Equipment

Sliding-Mode Controller for Maximum Power Point Tracking in Grid-Connected Photovoltaic Systems

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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