Inductor Current-Based Control Strategy for Efficient Power Tracking in Distributed PV Systems

Wei Wang, Yaolin Dong, Yue Liu, Ripeng Li and Chunsheng Wang ()
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Wei Wang: School of Automation, Central South University, Changsha 210056, China
Yaolin Dong: School of Automation, Central South University, Changsha 210056, China
Yue Liu: School of Automation, Central South University, Changsha 210056, China
Ripeng Li: School of Automation, Central South University, Changsha 210056, China
Chunsheng Wang: School of Automation, Central South University, Changsha 210056, China

Mathematics, 2024, vol. 12, issue 24, 1-17

Abstract: This paper presents an inductor current-based maximum power point tracking (IC-MPPT) strategy and a single-inductor multi-input single-output (SI-MISO) structure with energy storage battery for distributed photovoltaic (PV) systems. In this study framework, the duty cycle of each PV channel can be controlled independently based on the presented IC-MPPT strategy, and the components/sensors costs are reduced through the presented SI-MISO PV system structure. In addition, a model predictive control (MPC) method is presented to regulate DC bus voltage, by controlling the bidirectional converter in the battery circuit. The presented control strategies have been rigorously derived and experimentally validated, and the experimental results demonstrate that each PV module can rapidly and efficiently track to the maximum power point in less than 0.016 s, while the bus voltage is stabilized near the set value, with an overshoot of less than 2.6%.

Keywords: distributed PV system; single-inductor multi-input single-output (SI-MISO); inductor current-based maximum power tracking (IC-MPPT); battery charging and discharging control; model predictive control (MPC) (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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