Multi-objective optimization of capacitor bank considering the parasitic parameters of capacitors

Cunzhong Li, Zhangliang Li, Haoran Wang, Guorong Zhu*, Huai Wang

*Corresponding author for this work

Research output: Contribution to conference without publisher/journalPaper without publisher/journalResearchpeer-review


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.
Original languageEnglish
Publication date2019
Publication statusPublished - 2019
Event8th Renewable Power Generation Conference, RPG 2019 - Shanghai, China
Duration: 24 Oct 201925 Oct 2019


Conference8th Renewable Power Generation Conference, RPG 2019

Bibliographical note

Publisher Copyright:
© 2019 Institution of Engineering and Technology. All rights reserved.

Copyright 2020 Elsevier B.V., All rights reserved.


  • Capacitor bank in PV
  • Multi-objective optimization


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