Analysis of limit cycle oscillations in maximum power point tracking algorithms

Venturini, Roberta; Scarpa, V.V.R.; Spiazzi, G.; Buso, Simone

doi:10.1109/pesc.2008.4591959

Cited by 27 publications

(9 citation statements)

References 11 publications

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“…The parameter that ensures the stable three-points behavior of the P&O is the time interval T P&O . In particular, if T P&O is settled at a too small value (lower than the PV system settling time), the PV system never works in a steady-state condition and hence the P&O algorithm may be deceived and the operating point can enter a chaotic behavior (15). On the other hand, unnecessarily large values of T P&O penalize the MPPT speed.…”

Section: Perturb and Observementioning

confidence: 99%

Maximum Power Point Tracking Techniques

Balato

Costanzo

Vitelli

2016

Wiley Encyclopedia of Electrical and Electronics Engineering

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An essential objective for many photovoltaic (PV) applications is represented by the so‐called maximum power point tracking (MPPT). Under uniform irradiance and ambient temperature conditions, the power versus voltage characteristic of a PV array is characterized by the presence of a unique point, termed maximum power point (MPP), where the power provided by the array itself attains its maximum value. Any other operating point leads to the extraction of a smaller PV energy. Therefore, in order to avoid the waste of PV energy, the working of the array in its MPP is mandatory. Since the position of the MPP continuously changes in time as a function of irradiance and temperature, it is necessary to continuously track it. Such an objective can be obtained by using proper MPPT control techniques. A large number of papers have appeared in the scientific literature during the last 15 years on the issue of MPPT, and as a result it may be difficult to decide the best technique for a given application. Therefore, this survey may hopefully be beneficial to students, researchers, and practitioners in PV systems. The article overviews the representative PV MPPT algorithms, organized into four main groups. The first group contains the so‐called “hill climbing” techniques, the second group contains the “curve fitting” techniques, the third group contains the “dynamical” techniques, and the fourth group includes all the techniques that do not belong to the first three groups.

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Section: Perturb and Observementioning

confidence: 99%

Maximum Power Point Tracking Techniques

Balato

Costanzo

Vitelli

2016

Wiley Encyclopedia of Electrical and Electronics Engineering

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“…Moreover, from Figure 8 it is noted that the hysteresis band is defined by the condition 0, which corresponds to 0 and 0 as reported in Equation (27). This dependency is The previous four stages of the system operation are continuously repeated, they form a limit-cycle [35] that imposes a hysteretic behavior to the SMC switching function around the surface Ψ " 0. Moreover, from Figure 8 it is noted that the hysteresis band is defined by the condition dΨ dt " 0, which corresponds to dv pv dt " 0 and i cin " 0 as reported in Equation (27).…”

Section: Reachability Conditionsmentioning

confidence: 87%

“…In this case, the negative value of the switching function derivative decreases the value of Ψ, it driving the system towards the desired condition Ψ " 0. However, when the condition Ψ " 0 is reached the switching function derivative is still negative, i.e., The previous four stages of the system operation are continuously repeated, they form a limit-cycle [35] that imposes a hysteretic behavior to the SMC switching function around the surface Ψ 0. Moreover, from Figure 8 it is noted that the hysteresis band is defined by the condition 0, which corresponds to 0 and 0 as reported in Equation (27).…”

Section: Reachability Conditionsmentioning

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 [4,22,23] the periodic and stable oscillation around the MPP is discussed by putting into evidence that the sequence of three points across the MPP, corresponding to a 2Dx peak-to-peak amplitude and a periodicity of 4T p , gives the best steady state operation.…”

Section: Points Of Weakness Of the Pando Mppt Technique In Stationary Ementioning

confidence: 99%