Abstract
The present scenario of environmental crisis and energy crisis has led to most of the countries concentrating on increasing the grid penetration of renewable energy sources. Clean, free, and abundant availability of renewable energy sources, such as solar and wind energy are becoming the prime choice for energy generation. Solar photovoltaic (PV) energy system when integrated with the grid through dc-dc converter and dc-ac converter known as the dual stage conversion system. Maximum power transfer is assured by the dc-dc converter. Grid synchronization, dc-link voltage, and total harmonic distortion (THD) content in injected currents are controlled by dc-ac converter. Generally, 2-level dc-ac converters are employed for integration of small and medium power PV to the grid. However, multilevel inverters (MLI) offer numerous advantages for integration of high-power PV to the grid. The current MLI topologies suffer from the higher switch and capacitor count. In this paper, 7-level simplified generalized MLI topology has been employed for integration of PV arrays with the single-phase distribution network. The developed control algorithm comprises of dc-link voltage control, phase locked loop, maximum power point tracking (MPPT), hysteresis current controller (HCC), and switch selector algorithm to ensure that adherences to the standards set by the IEEE 1547. The proposed grid-tied 7-level simplified generalized MLI-based PV energy system is simulated on MATLAB/SIMULINK and its operation is analyzed considering the case where in the PV array supplies surplus power as compared to the load demand.
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Joshi, N.R., Sant, A.V. (2022). Control of 7-Level Simplified Generalized Multilevel Inverter Topology for Grid Integration of Photovoltaic System. In: Sahni, M., Merigó, J.M., Sahni, R., Verma, R. (eds) Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy. Advances in Intelligent Systems and Computing, vol 1405. Springer, Singapore. https://doi.org/10.1007/978-981-16-5952-2_41
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DOI: https://doi.org/10.1007/978-981-16-5952-2_41
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