TY - GEN
T1 - Computational intelligence based regulation of the dc bus in the on-grid photovoltaic system
AU - Purnomo, Mauridhi Hery
AU - Setiawan, Iwan
AU - Priyadi, Ardyono
N1 - Publisher Copyright:
© Springer Science+Business Media Singapore 2016.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Bidirectional DC/AC converter
KW - Computational intelligence
KW - Radial basis function neural networks
KW - Vector control
UR - http://www.scopus.com/inward/record.url?scp=84959211921&partnerID=8YFLogxK
U2 - 10.1007/978-981-287-988-2_1
DO - 10.1007/978-981-287-988-2_1
M3 - Conference contribution
AN - SCOPUS:84959211921
SN - 9789812879868
T3 - Lecture Notes in Electrical Engineering
SP - 3
EP - 15
BT - Proceedings of 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015
A2 - Pasila, Felix
A2 - Tanoto, Yusak
A2 - Lim, Resmana
A2 - Santoso, Murtiyanto
A2 - Pah, Nemuel Daniel
PB - Springer Verlag
T2 - 2nd International Conference on Electrical Systems, Technology and Information, ICESTI 2015
Y2 - 9 September 2015 through 12 September 2015
ER -