On the Perturb-and-Observe and Incremental Conductance MPPT Methods for PV Systems

By Dezso Sera, L. Mathe, T. Kerekes, S. Spataru, Remus Teodorescu. IEEE Journal of Photovoltaics, 2013

800 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/5ef85a0ff0c64748a6a1b221550ed01a21bdc8cc

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In Artificial Intelligence

1. Susovon Samanta
2. I. S. Tian
3. Kuo-Lung Lian
4. Muralidhar Killi
5. J. Jhang

In Electrical and Electronic Engineering

1. Susovon Samanta
2. I. S. Tian
3. Kuo-Lung Lian
4. Muralidhar Killi
5. J. Jhang

In Renewable Energy, Sustainability and the Environment

1. Susovon Samanta
2. I. S. Tian
3. Kuo-Lung Lian
4. Muralidhar Killi
5. J. Jhang

Citations in the corpus

• A Maximum Power Point Tracking Method Based on Perturb-and-Observe Combined With Particle Swarm Optimization (2014, methodology): “As shown in [4] and [5], these methods are essentially different ways of envisioning the same fundamental concept, and rely on determining the gradient of the power with”
• Modified Perturb and Observe MPPT Algorithm for Drift Avoidance in Photovoltaic Systems (2015, background): “Although P&O has remarkable advantages, the sudden change in atmospheric conditions causes this P&O algorithm to drift away from MPP [27], and the analysis of this drift problem is given in [11] and [31].”