TY - CONF
T1 - Multi-objective optimization of capacitor bank considering the parasitic parameters of capacitors
AU - Li, Cunzhong
AU - Li, Zhangliang
AU - Wang, Haoran
AU - Zhu, Guorong
AU - Wang, Huai
N1 - Publisher Copyright:
© 2019 Institution of Engineering and Technology. All rights reserved.
Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2019
Y1 - 2019
N2 - For the applications where a single capacitor is incapable to meet the needs, different types, behaviors and specifications of capacitors can be packaged as a capacitor bank to fulfill the requirements of the systems. Even though some commercial capacitor bank products have already existed in the market, most of them are the experienced based design which uses same capacitors connected in parallel or series to fulfill the capacitance and voltage rating requirements, so that the volume, cost, reliability and other performance factors are not optimized. To the best knowledge, no quantitative design for capacitor banks is available by considering all the design phases. This paper proposes a design method for capacitor banks with multiple design constraints. Considering the multi-physics aspects, the performance factors (e.g., lifetime, efficiency, cost and volume) of the capacitors are modeled. By optimizing the capacitor bank configurations (e.g. hybrid capacitance ratio of types, and the capacitance and numbers for individual capacitor), the solutions which fulfill the requirements of applications are identified. To verify the accuracy of the proposed method, a capacitor bank for the DC link of a 5.5 kW PV inverter is optimized and demonstrated.
AB - For the applications where a single capacitor is incapable to meet the needs, different types, behaviors and specifications of capacitors can be packaged as a capacitor bank to fulfill the requirements of the systems. Even though some commercial capacitor bank products have already existed in the market, most of them are the experienced based design which uses same capacitors connected in parallel or series to fulfill the capacitance and voltage rating requirements, so that the volume, cost, reliability and other performance factors are not optimized. To the best knowledge, no quantitative design for capacitor banks is available by considering all the design phases. This paper proposes a design method for capacitor banks with multiple design constraints. Considering the multi-physics aspects, the performance factors (e.g., lifetime, efficiency, cost and volume) of the capacitors are modeled. By optimizing the capacitor bank configurations (e.g. hybrid capacitance ratio of types, and the capacitance and numbers for individual capacitor), the solutions which fulfill the requirements of applications are identified. To verify the accuracy of the proposed method, a capacitor bank for the DC link of a 5.5 kW PV inverter is optimized and demonstrated.
KW - Capacitor bank in PV
KW - Multi-objective optimization
UR - http://www.scopus.com/inward/record.url?scp=85081613341&partnerID=8YFLogxK
M3 - Paper without publisher/journal
AN - SCOPUS:85081613341
T2 - 8th Renewable Power Generation Conference, RPG 2019
Y2 - 24 October 2019 through 25 October 2019
ER -