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Multilevel hysteresis modulation (MHM) for sliding mode controlled dual inverter PV systems
Nayan Kumar1, Tapas Kumar Saha2, Jayati Dey2
1School of Interdisciplinary Research, Indian Institute of Technology Delhi, New Delhi 110016, India.
This study introduces an adaptive control strategy for photovoltaic systems, enhancing power stability and reducing harmonic distortion. The robust nonlinear sliding-mode control (RNSMC) ensures reliable performance under disturbances.
Area of Science:
- Electrical Engineering
- Renewable Energy Systems
- Control Theory
Background:
- Photovoltaic (PV) systems require robust control strategies for stable power output.
- External disturbances and nonlinearities challenge inverter performance.
- Existing modulation techniques may not adequately address fast-tracking and disturbance rejection.
Purpose of the Study:
- To propose and characterize an adaptive multiband hysteresis modulation strategy.
- To enhance the robustness and disturbance rejection capabilities of dual two-level inverter topologies for PV systems.
- To ensure stable active power delivery in both standalone and grid-connected PV operations.
Main Methods:
- Implementation of a robust nonlinear sliding-mode control (RNSMC) strategy.
- Design and application of novel vector control schemes for improved robustness.
- Analysis of reachability and stability for controller validation.
- Utilization of Tsypkin's method for switching frequency characterization.
Main Results:
- The RNSMC strategy demonstrated robust and fast-tracking characteristics.
- Effective rejection of external disturbances was achieved.
- Stable active power was maintained across various PV operating conditions.
- Enhanced efficiency and multilevel voltage waveforms with reduced total harmonic distortion (THD) were observed.
Conclusions:
- The proposed adaptive multiband hysteresis modulation with RNSMC offers superior performance for PV systems.
- The control scheme effectively handles disturbances and maintains power quality within standards.
- Validated through simulations and real-time tests, the strategy is suitable for diverse operating conditions.
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