MODEL PREDICTIVE OPTIMAL CONTROL STRATEGY FOR MODULAR MULTILEVEL HYBRID CONVERTER BATTERY ENERGY STORAGE SYSTEM

Cheng Zhijiang; Tian Feng; Yang Handi; Yang Tianxiang

doi:10.19912/j.0254-0096.tynxb.2022-0064

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Acta Energiae Solaris Sinica ›› 2023, Vol. 44 ›› Issue (5) : 59-66. DOI: 10.19912/j.0254-0096.tynxb.2022-0064

MODEL PREDICTIVE OPTIMAL CONTROL STRATEGY FOR MODULAR MULTILEVEL HYBRID CONVERTER BATTERY ENERGY STORAGE SYSTEM

Cheng Zhijiang, Tian Feng, Yang Handi, Yang Tianxiang

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Abstract

Based on MMHC-BESS and combining MPC algorithm with duty cycle modulation idea, a model predictive optimal control strategy is proposed, which can effectively reduce the computational burden of the system. The control strategy uses the MPC algorithm to realize the power control, deduces the optimal output voltage through the discrete model of the converter, and uses the carrier phase shift modulation method to realize the switching signal output. At the same time, considering the voltage imbalance of the power grid, the MPC algorithm is used to suppress the negative sequence current and power fluctuation, which has a good ability of redundant fault-tolerant operation. Finally, the effectiveness and feasibility of the proposed control method are verified by the simulation model.

Key words

model predictive control / optimal control / battery energy storage system / MMHC-BESS / redundant fault tolerant control

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Cheng Zhijiang, Tian Feng, Yang Handi, Yang Tianxiang. MODEL PREDICTIVE OPTIMAL CONTROL STRATEGY FOR MODULAR MULTILEVEL HYBRID CONVERTER BATTERY ENERGY STORAGE SYSTEM[J]. Acta Energiae Solaris Sinica. 2023, 44(5): 59-66 https://doi.org/10.19912/j.0254-0096.tynxb.2022-0064

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