Abstract
This paper presents a bidirectional DC/AC converter control system based on the vector control method for regulating the DC bus in On-grid photovoltaic systems. In this control scheme, the main task of the DC/AC converter is to control the power flow between the DC bus and the electrical grid. To avoid conventional controller parameter tuning problems and in addition to enhance transient performances of the DC bus voltage response that caused by abrupt changes of local DC loads that directly connected to DC bus system, in this work, the DC/AC converter control system is designed by utilizing radial basis function neural networks, that is a kind of the computational intelligence method. By combining with simple proportional control, the overshoot and undershoot of the DC bus voltage that caused by sudden connections and disconnections of the local DC loads can be damped more quickly and better than the standard optimal PI control system, so the overvoltage condition of the DC bus capacitor could be avoided. The effectiveness of the proposed control system is proved by simulation results.
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Purnomo, M.H., Setiawan, I., Priyadi, A. (2016). Computational Intelligence Based Regulation of the DC Bus in the On-grid Photovoltaic System. In: Pasila, F., Tanoto, Y., Lim, R., Santoso, M., Pah, N. (eds) Proceedings of Second International Conference on Electrical Systems, Technology and Information 2015 (ICESTI 2015). Lecture Notes in Electrical Engineering, vol 365. Springer, Singapore. https://doi.org/10.1007/978-981-287-988-2_1
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DOI: https://doi.org/10.1007/978-981-287-988-2_1
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