Abstract
In this paper, a micro-grid system based on single-phase photovoltaic inverter double closed-loop feedback is established. The double closed-loop feedback model is discussed, and the advantages and disadvantages of PI, PR and quasi-PR control in terms of dynamic performance and steady-state error are compared according to the amplitude–frequency characteristics. First, the advantages of the quasi-PR control strategy are expressed from the theoretical level, which can realize tracking without static errors and enhance the anti-interference ability. After that, the combination of pole configuration and big data analysis is used to obtain the optimal solution of PR and quasi-PR controller parameters, so as to more strictly carry out the impact of both on the performance of the double closed-loop system in the actual system. Finally, a simulation model platform was established based on MATLAB/Simulink, which verified the superior performance of the system.
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Zhang, Y., Zheng, X., Fan, P., Xiang, Y. (2021). Single-Phase Photovoltaic Inverter Control Based on Quasi-Prand Big Data Analysis. In: Chang, V., Ramachandran, M., Méndez Muñoz, V. (eds) Modern Industrial IoT, Big Data and Supply Chain. Smart Innovation, Systems and Technologies, vol 218. Springer, Singapore. https://doi.org/10.1007/978-981-33-6141-6_22
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DOI: https://doi.org/10.1007/978-981-33-6141-6_22
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