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June 15, 20042003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491)309 citations

A study on a two stage maximum power point tracking control of a photovoltaic system under partially shaded insolation conditions

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KKKenji KobayashiITIchiro TAKANOYSYasuhiko Sawada

Key Points

  • This research aims to develop a simpler maximum power point tracking method for photovoltaic systems under variable insolation conditions.
  • Proposed a two stage maximum power point tracking control method
  • Used software PSIM and Lab VIEW for simulation studies
  • Tested feasibility under both steady and rapidly changing insolation conditions.
  • The proposed control method successfully tracks the maximum power point under nonuniform insolation conditions.
  • Simulation results show significant improvement in power output compared to conventional methods.
  • Control system remains relatively simple while effectively addressing complexities of varying insolation.

Abstract

A photovoltaic (PV) array shows relatively low output power density, and has a greatly drooping current-voltage (I-V) characteristic. Therefore, maximum power point tracking (MPPT) control is used to maximize the output power of the PV array. Many papers have been reported in relation to MPPT. However, the current-power (I-P) curve sometimes shows multilocal maximum points mode under nonuniform insolation conditions. The operating point of the PV system tends to converge to a local maximum output point which is not the real maximal output point on the I-P curve. Some papers have been also reported, trying to avoid this difficulty. However most of those control systems become rather complicated. Then, the two stage MPPT control method is proposed in this paper to realize a relatively simple control system which can track the real maximum power point even under nonuniform insolation conditions. The feasibility of this control concept is confirmed for steady insolation as well as for rapidly changing insolation by simulation study using software PSIM and Lab VIEW.

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Cite This Study

Kobayashi et al. (2004) studied this question.

synapsesocial.com/papers/6a2022e984535fe076fbe0a7https://doi.org/10.1109/pes.2003.1271058
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