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Connection Topology Optimization in Photovoltaic Arrays using Neural Networks

Published on May 1, 2019
· DOI :10.1109/ICPHYS.2019.8780242
Vivek Sivaraman Narayanaswamy1
Estimated H-index: 1
(ASU: Arizona State University),
Raja Ayyanar25
Estimated H-index: 25
(ASU: Arizona State University)
+ 2 AuthorsDevarajan Srinivasan5
Estimated H-index: 5
Abstract
A cyber-physical system (CPS) approach for optimizing the output power of photovoltaic (PV) energy systems is proposed. In particular, a novel connection topology reconfiguration strategy for PV arrays to maximize power output under partial shading conditions using neural networks is put forth. Depending upon an irradiance/shading profile of the panels, topologies, namely series parallel (SP), total cross tied (TCT) or bridge link (BL) produce different maximum power points (MPP). The connection topology of the PV array that provides the maximum power output is chosen using a multi-layer perceptron. The simulation results show that empirically an output power increase of 12% can be achieved through reconfiguration. The method proposed can be implemented in any CPS PV system with switching capabilities and is simple to implement.
  • References (30)
  • Citations (1)
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