
Department of Electrical Engineering, National Institute of Technology, Jamshedpur, Jharkhand,India
Published:01 January 2023
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Saibal Manna, Ashok Kumar Akella, Deepak Kumar Singh. Novel Lyapunov-based rapid and ripple-free MPPT using a robust model reference adaptive controller for solar PV system[J]. Protection and Control of Modern Power Systems, 2023, 8(1): 1-25.
Saibal Manna, Ashok Kumar Akella, Deepak Kumar Singh. Novel Lyapunov-based rapid and ripple-free MPPT using a robust model reference adaptive controller for solar PV system[J]. Protection and Control of Modern Power Systems, 2023, 8(1): 1-25. DOI: 10.1186/s41601-023-00288-9.
The technological
economic
and environmental benefits of photovoltaic (PV) systems have led to their wide-spread adoption in recent years as a source of electricity generation. However
precisely identifying a PV system's maximum power point (MPP) under normal and shaded weather conditions is crucial to conserving the maximum generated power. One of the biggest concerns with a PV system is the existence of partial shading
which produces multiple peaks in the P–V characteristic curve. In these circumstances
classical maximum power point tracking (MPPT) approaches are prone to getting stuck on local peaks and failing to follow the global maximum power point (GMPP). To overcome such obstacles
a new Lyapunov-based Robust Model Reference Adaptive Controller (LRMRAC) is designed and implemented to reach GMPP rapidly and ripple-free. The proposed controller also achieves MPP accurately under slow
abrupt and rapid changes in radiation
temperature and load profile. Simulation and OPAL-RT real-time simulators in various scenarios are performed to verify the superiority of the proposed approach over the other state-of-the-art methods
i.e.
ANFIS
INC
VSPO
and P&O. MPP and GMPP are accomplished in less than 3.8 ms and 10 ms
respectively. Based on the results presented
the LRMRAC controller appears to be a promising technique for MPPT in a PV system.
The technological
economic
and environmental benefits of photovoltaic (PV) systems have led to their widespread adoption in recent years as a source of electricity generation. However
precisely identifying a PV system's maximum power point (MPP) under normal and shaded weather conditions is crucial to conserving the maximum generated power. One of the biggest concerns with a PV system is the existence of partial shading
which produces multiple peaks in the P–V characteristic curve. In these circumstances
classical maximum power point tracking (MPPT) approaches are prone to getting stuck on local peaks and failing to follow the global maximum power point (GMPP). To overcome such obstacles
a new Lyapunov-based Robust Model Reference Adaptive Controller (LRMRAC) is designed and implemented to reach GMPP rapidly and ripple-free. The proposed controller also achieves MPP accurately under slow
abrupt and rapid changes in radiation
temperature and load profile. Simulation and OPAL-RT real-time simulators in various scenarios are performed to verify the superiority of the proposed approach over the other state-of-the-art methods
i.e.
ANFIS
INC
VSPO
and PO. MPP and GMPP are accomplished in less than 3.8 ms and 10 ms
respectively. Based on the results presented
the LRMRAC controller appears to be a promising technique for MPPT in a PV system.
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