Application of random search method for maximum power point tracking in partially shaded photovoltaic systems

By Kinattingal Sundareswaran, Sankar Peddapati, Sankaran Palani. 2014

76 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/e7555666044b8e3d8cf50ea69d10601c8169c343

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Jinhu Lu
2. N. Rajasekar
3. J. Prasanth Ram
4. Xinghuo Yu
5. Her-Terng Yau

In Electrical and Electronic Engineering

1. N. Rajasekar
2. J. Prasanth Ram
3. Xinghuo Yu

In Renewable Energy, Sustainability and the Environment

1. N. Rajasekar
2. J. Prasanth Ram

Citations in the corpus

• An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System Under Partial Shading (2019, methodology): “Modeling the inverter as a resistive load is to account for the power transmitted into the dc/ac inverter, which can sufficiently reflect the mechanism of the inverter for the purpose of this study [26], [27].”
• A Novel Flower Pollination Based Global Maximum Power Point Method for Solar Maximum Power Point Tracking (2017, methodology): “Parameter P&O [9] Fuzzy [19] PSO [24] DEPSO [33] RSM [29] FPA”