Voltage Vector Redundancy Exploitation for Battery Balancing in Three-Phase CHB-Based Modular Energy Storage Systems

Pirooz, Ashkan; Firouz, Yousef; Mierlo, Joeri Van; Berecibar, Maitane

doi:10.1109/tie.2021.3116562

Cited by 7 publications

(4 citation statements)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…By using the discrete prediction model (2), the converter current of any future time step can be predicted according to the system state at time step k . In (2), v (k ) denotes the control variable and is determined by the state of each SM of the three phases [26,27]. By controlling the working state of these SMs, different voltage levels can be generated on the ac side (v a , v b , v c ).…”

Section: System Structurementioning

confidence: 99%

“…Even if the three phases are calculated separately, 64 states still need to be analyzed for each phase during the optimization process. Therefore, it is very time-consuming for traditional FCS-MPC to take all the switching states into the cost function in one sampling period [26]. Therefore, it is necessary to modify traditional FCS-MPC so that it can be applied to the control of the CHB multilevel converter.…”

Section: Fcs-mpc Of Chb Convertermentioning

confidence: 99%

“…In Ref. [26], FCS-MPC is modified to provide lower demand on computational resources of the CHB controller through offline reordering of vectors and adjacent vector introduction, which also brings the least differential-mode dv/dt as an added value. A control strategy using unity horizon length FCS-MPC is proposed in [27] to modulate the asymmetric cascaded H-bridge (ACHB) trinary inverter.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved Sequential Model Predictive Control of Cascaded H‐Bridge Multilevel Converter

Qin,

Kuang,

Jiang

et al. 2024

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

The cascaded H‐bridge (CHB) converter can achieve rich functions, such as active rectification, active power filtering, distributed energy storage, etc. The control of the CHB converter is a multiobjective optimization problem. Finite control set model predictive control (FCS‐MPC) is an effective method developed in recent years to solve this problem. However, because of the large amount of calculation, traditional FCS‐MPC cannot be directly used to control the multilevel CHB converter. It is also difficult to tune the weighting factors in traditional FCS‐MPC. To solve these problems, this paper proposes an improved sequential MPC (IS‐MPC) method for the CHB converter. The proposed method divides the control objectives of the CHB converter into different layers according to their priorities and the control degrees of freedom of each layer can be adjusted according to the system state. Simulation and hardware‐in‐the‐loop (HIL) implementation on a three‐phase 7‐level CHB converter shows that the proposed method can effectively control the ac current and submodule voltage of the CHB converter and reduce the switching loss. Moreover, it significantly reduced the calculation burden of traditional FCS‐MPC, and the use of the weighting factors is also avoided. © 2024 Institute of Electrical Engineer of Japan and Wiley Periodicals LLC.

show abstract

Section: System Structurementioning

confidence: 99%

Section: Fcs-mpc Of Chb Convertermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improved Sequential Model Predictive Control of Cascaded H‐Bridge Multilevel Converter

Qin,

Kuang,

Jiang

et al. 2024

IEEJ Transactions Elec Engng

View full text Add to dashboard Cite

show abstract

“…Considering the line current can only be directly regulated by one converter in a series system, other battery converters are distributedly controlled with the PQ decoupling control, as shown in Fig. where εk is the power distribution coefficient for the k th battery converter related to the power capacity, SoC, state-of-health (SoH), temperatures, etc [44]. For instance, εk can be selected as ( )…”

Section: B Control Of the Battery Convertermentioning

confidence: 99%

Flexible Active Power Control of Distributed Photovoltaic Systems With Integrated Battery Using Series Converter Configurations

Pan

Sangwongwanich

Yang

et al. 2022

IEEE J. Emerg. Sel. Topics Power Electron.

View full text Add to dashboard Cite

Flexible active power control (FAPC) is becoming mandatory for PV systems, which is to limit/reserve the PV power below certain constraints as commanded, including the power ramp-rate control (PRRC), power limiting control (PLC), and power reserve control (PRC). In practice, energy storage such as batteries can be adopted to reduce the PV energy discarding in such cases. On the other hand, concerning the system overall cost, single-stage series power converter configurations are becoming attractive. Such configurations bring more flexibilities by integrating PV systems and batteries. However, the implementation of FAPC functions in series power converter configurations has not been systematically investigated. To fill this gap, the PRRC, PLC, and PRC strategies for series-PV-battery systems are developed in this paper. With the proposed strategies, the power ramp-rate/limiting/reserve constraints are maintained by the coordinated control of individual converters. The reserved power is then distributed among all converters depending on the available power of individual PV converters, battery power and state-of-charge (SoC) conditions. Experimental tests performed on a 1.6-kW system have validated the effectiveness of the proposed solution.

show abstract

Development of a simulation interface for assessing electromagnetic transients in multiple Li-ion battery technologies assuming parameter variability

et al. 2023

View full text Add to dashboard Cite

Voltage Vector Redundancy Exploitation for Battery Balancing in Three-Phase CHB-Based Modular Energy Storage Systems

Cited by 7 publications

References 30 publications

Improved Sequential Model Predictive Control of Cascaded H‐Bridge Multilevel Converter

Improved Sequential Model Predictive Control of Cascaded H‐Bridge Multilevel Converter

Flexible Active Power Control of Distributed Photovoltaic Systems With Integrated Battery Using Series Converter Configurations

Development of a simulation interface for assessing electromagnetic transients in multiple Li-ion battery technologies assuming parameter variability

Contact Info

Product

Resources

About