Computationally-Efficient Optimal Control of Cascaded Multilevel Inverters With Power Balance for Energy Storage Systems

This article proposes an optimal current control technique with switching event minimization for grid-interactive cascaded multilevel inverters (CMI) interfaced with battery energy storage sources. The proposed control scheme enables power-balancing functionality of battery cells, realizing optimal...

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Bibliographic Details
Published inIEEE transactions on industrial electronics (1982) Vol. 68; no. 12; pp. 12285 - 12295
Main Authors Easley, Mitchell, Shadmand, Mohammad B., Abu-Rub, Haitham
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Batteries
Computational efficiency
Control systems
Energy storage
Energy storage systems
grid-tied inverter
Interactive control
Inverters
model predictive control (MPC)
Multiple criterion
Optimal control
Optimization
Predictive control
Robustness (mathematics)
smart inverter
Storage systems
Switches
Switching sequences
Topology
Voltage control
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Summary:This article proposes an optimal current control technique with switching event minimization for grid-interactive cascaded multilevel inverters (CMI) interfaced with battery energy storage sources. The proposed control scheme enables power-balancing functionality of battery cells, realizing optimal smart operation of CMI. Model predictive control (MPC) is known as a potential approach for multiobjective control schemes in single-loop manner for power electronics interfaces. However, MPC schemes are suffering from high computational burden that is magnified in topologies like the CMI, which have a substantial number of redundant control actions. The proposed control scheme utilizes a dynamic lookup matrix as an internal optimizer tool. The redundant switching sequences are cycled to equalize the power drawn from the independent battery energy storage sources while achieving a minimum energy control. The theoretical analysis and experimental case studies verify robustness and computational efficiency of the proposed multicriteria optimal controller with similar objective tracking when compared to finite-set MPC.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2020.3048281