# A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation

@article{Cui2019ARP, title={A Rprop-Neural-Network-Based PV Maximum Power Point Tracking Algorithm with Short-Circuit Current Limitation}, author={Yao Cui and Zhehan Yi and Jiajun Duan and Di Shi and Z. Wang}, journal={2019 IEEE Power \& Energy Society Innovative Smart Grid Technologies Conference (ISGT)}, year={2019}, pages={1-5} }

This paper proposes a resilient-backpropagation-neural-network-(Rprop-NN) based algorithm for Photovoltaic (PV) maximum power point tracking (MPPT). A supervision mechanism is proposed to calibrate the Rprop-NN-MPPT reference and limit short-circuit current caused by incorrect prediction. Conventional MPPT algorithms (e.g., perturb and observe (P&O), hill climbing, and incremental conductance (Inc-Cond) etc.) are trial-and-error-based, which may result in steady-state oscillations and loss of… Expand

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#### References

SHOWING 1-10 OF 25 REFERENCES

Assessment of the Incremental Conductance Maximum Power Point Tracking Algorithm

- Engineering
- IEEE Transactions on Sustainable Energy
- 2013

An efficient, cost-effective maximum power point tracking (MPPT) algorithm is required to improve the energy utilization efficiency of low power photovoltaic (PV) systems. This paper presents an… Expand

A review of maximum power point tracking techniques of PV system for uniform insolation and partial shading condition

- Engineering
- 2013

This paper presents a review on the state-of-the-art maximum power point tracking (MPPT) techniques for PV power system applications. The main techniques that will be deliberated are the Perturb and… Expand

Maximum power point tracking for photovoltaic system: Modified Perturb and Observe algorithm

- Engineering
- 2012 47th International Universities Power Engineering Conference (UPEC)
- 2012

In the past decades, there has been a huge growth in the use of the renewable energy sources. Photovoltaic energy is one of these sources but, the high cost and low conversion efficiency have limited… Expand

An improved maximum power point tracking method for photovoltaic systems

- Engineering
- 2008

In most of the maximum power point tracking (MPPT) methods described currently in the literature, the optimal operation point of the photovoltaic (PV) systems is estimated by linear approximations.… Expand

Comparison of direct maximum power point tracking algorithms using EN 50530 dynamic test procedure

- Engineering
- 2011

Three direct maximum power point tracking (MPPT) algorithms with non-adaptive voltage step are evaluated in the light of their performance for photovoltaic systems under dynamic conditions for a… Expand

Increasing the efficiency of P&O MPPT by converter dynamic matching

- Engineering
- 2004 IEEE International Symposium on Industrial Electronics
- 2004

This paper shows that the efficiency of the perturb and observe (P&O) maximum power point tracking (MPPT) control technique can be improved by optimizing its sampling interval T/sub a/ according to… Expand

Assessment of Perturb and Observe MPPT Algorithm Implementation Techniques for PV Pumping Applications

- Engineering
- IEEE Transactions on Sustainable Energy
- 2012

The energy utilization efficiency of commercial photovoltaic (PV) pumping systems can be significantly improved by employing simple perturb and observe (P&O) maximum power point tracking algorithms.… Expand

Photovoltaic dynamic MPPT on a moving vehicle

- Computer Science
- 2012

Some problems of a PV system associated with a moving vehicle are addressed, and a modified quadratic maximization MPPT algorithm is proposed, and theoretical PV performance is linked to the experimental test followed by the Sandia dynamic test protocol to verify the proposed MPPT method. Expand

Maximum power tracking for photovoltaic power system: Development and experimental comparison of two algorithms

- Engineering
- 2010

This work presents an experimental comparison of two algorithms developed in order to maximize the output power from a photovoltaic (PV) system for the same given set of conditions. The maximum power… Expand

Line-to-Line Fault Detection for Photovoltaic Arrays Based on Multiresolution Signal Decomposition and Two-Stage Support Vector Machine

- Engineering, Computer Science
- IEEE Transactions on Industrial Electronics
- 2017

A fault detection algorithm based on multiresolution signal decomposition for feature extraction, and two-stage support vector machine (SVM) classifiers for decision making is proposed, which only requires data of the total voltage and current from a PV array and a limited amount of labeled data for training the SVM. Expand