Abstract
In the process of modeling distributed power grid connection, the parameter control effect is not good, and the modeling is not stable. A distributed power energy grid-connected control method based on large data is put forward. Distributed power energy-energy grid-connected model is established, a DC/AC inverter model and a current inner-loop controller model are analyzed. And an equivalent circuit model analysis of the terminal voltage of the grid-connected inverter of the controller is analyzed. The fuzzy PID control algorithm is introduced to identify the unknown parameters in the distributed power energy grid-connected control, the fitness function of the inner ring controller and the fitness function of the outer ring controller are obtained. Expert database is initialized and updated, Until the maximum number of iterations or convergence accuracy is reached. The simulation results show that the proposed method can effectively improve the performance of the distributed power grid-connected control.
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Bai, Cg. (2019). Research on Distributed Power Energy Grid-Connected Control Method Based on Big Data. In: Gui, G., Yun, L. (eds) Advanced Hybrid Information Processing. ADHIP 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 302. Springer, Cham. https://doi.org/10.1007/978-3-030-36405-2_4
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DOI: https://doi.org/10.1007/978-3-030-36405-2_4
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