An efficient MPPT algorithm for PV modules under partial shading and sudden change in irradiance

Kapić, Amar; Zečević, Žarko; Krstajić, Božo

doi:10.1109/spit.2018.8350452

Cited by 7 publications

(8 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first category originates from the improvement of the existing conventional tracking method; these include the well-known MPPT techniques but with further modification (for instance, perturb and observe (P&O) and incremental conductance (InC) [13]). Research in References [14][15][16][17] confirms the effectiveness of the conventional methods that can locate the correct global power peak. The second category istopologies based on the intelligence computing method.…”

Section: Introductionmentioning

confidence: 67%

Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature

Gosumbonggot

Fujita

2019

Energies

View full text Add to dashboard Cite

Photovoltaic (PV) technology has been the focus of interest due to its nonpolluting operation and good installation flexibility. Irradiation and temperature are the two main factors which impact the performance of the PV system. Accordingly, when partial shading from surroundings occurs, its incident shadow diminishes the irradiation and reduces the generated power. Since the conventional maximum power point tracking methods (MPPT) could not distinguish the global maximum power of the power-voltage (P-V) characteristic curve, a new tracking method needs to be developed. This paper proposes a global maximum power point tracking method using shading detection and the trend of slopes from each section of the curve. Full mathematical equations and algorithms are presented. Simulations based on real weather data were performed both in short-term and long-term studies. Moreover, this paper also presents the experiment using the DC-DC synchronous and interleaved boost converter. Results from the simulation show an accurate tracking result and the system can enhance the total energy generated by 8.55% compared to the conventional scanning method. Moreover, the experiment also confirms the success of the proposed tracking algorithm.

show abstract

Section: Introductionmentioning

confidence: 67%

Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature

Gosumbonggot

Fujita

2019

Energies

View full text Add to dashboard Cite

show abstract

“…The performance of the NMPPT algorithm is compared with the P&O [20] and CNNMPPT algorithm [38], as well as with the recently proposed MPPT algorithm that is based on the PV equivalent circuit (EMPPT) [29]. The EMPPT algorithm uses the irradiance estimator which is referred to as the EEST [29], while the irradiance estimator in the CNNMPPT is reffered to as the CNNEST.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Due to simplicity, it can be assumed that the power converter is perfectly controlled. One of the simplest MPPT algorithms is the Perturb and Observe (P&O) [20]. The P&O is the model-free algorithm that iteratively changes the output voltage towards the MPP, wherein the direction of change is determined by using the voltage and current measurements.…”

Section: Overview Of Mptt Algorithmsmentioning

confidence: 99%

“…The P&O is the model-free algorithm that iteratively changes the output voltage towards the MPP, wherein the direction of change is determined by using the voltage and current measurements. The main limitations of the model-free algorithms are slow tracking speed and steady-state oscillations about the MPP [20]. The MPPT algorithms that rely on the photovoltaic model can be used to deal with these issues [28,29].…”

Section: Overview Of Mptt Algorithmsmentioning

confidence: 99%

“…The implementation of these algorithms is cost-effective; however, they have disadvantages such as oscillations around the MPP, slow convergence speed, and poor performance under the rapid change of the irradiance. Among these methods, the most popular are the Perturb and Observe (P&O) [19][20][21][22] and Incremental Conductance algorithm [23,24]. Recently, many algorithms that use different optimization techniques have been proposed to solve the MPPT problem under non-uniform irradiance conditions [25][26][27].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Neural Network Approach to MPPT Control and Irradiance Estimation

Zečević

Rolevski

2020

Applied Sciences

View full text Add to dashboard Cite

Photovoltaic (PV) modules require maximum power point tracking (MPPT) algorithms to ensure that the amount of power extracted is maximized. In this paper, we propose a low-complexity MPPT algorithm that is based on the neural network (NN) model of the photovoltaic module. Namely, the expression for the output current of the NN model is used to derive the analytical, iterative rules for determining the maximal power point (MPP) voltage and irradiance estimation. In this way, the computational complexity is reduced compared to the other NN-based MPPT methods, in which the optimal voltage is predicted directly from the measurements. The proposed algorithm cannot instantaneously determine the optimal voltage, but it contains a tunable parameter for controlling the trade-off between the tracking speed and computational complexity. Numerical results indicate that the relative error between the actual maximum power and the one obtained by the proposed algorithm is less than 0.1%, which is up to ten times smaller than in the available algorithms.

show abstract

Butterfly optimization algorithm based maximum power point tracking of photovoltaic systems under partial shading condition

Aygül

Cikan

Demirdelen

et al. 2019

Energy Sources, Part A: Recovery, Utilization, and Environmenta

View full text Add to dashboard Cite

An efficient MPPT algorithm for PV modules under partial shading and sudden change in irradiance

Cited by 7 publications

References 13 publications

Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature

Partial Shading Detection and Global Maximum Power Point Tracking Algorithm for Photovoltaic with the Variation of Irradiation and Temperature

Neural Network Approach to MPPT Control and Irradiance Estimation

Butterfly optimization algorithm based maximum power point tracking of photovoltaic systems under partial shading condition

Contact Info

Product

Resources

About