Abstract：Modular multilevel converter (MMC) is deemed to be an attractive topology to realize grid-connection of battery energy storage system (BESS), due to its high output voltage level and great control flexibility. In this paper, a novel hybrid model predictive control method (H-MPC) is employed to the battery integrated modular multilevel converter (B-MMC), which can attenuate the computation burden of processors effectively. PI control part and MPC control part were included in the proposed H-MPC. Firstly, the inserted numbers in each arm were solved in PI control part, based on ac-side currents and circulating currents equations. MPC control part was responsible for common mode voltage (CMV) elimination, which would further modify the inserted numbers properly. Then, the switching signals were generated based on the inserted number and sorted state of charge (SOC) of battery packs. In fact, it is flexible to select different control objects for both PI and MPC parts. A simple analysis, where circulating currents control was included in MPC control part, was also proposed. Finally, Matlab/Simulink and experimental results verified the performance of the proposed method.
李楠, 高峰. 电池储能型模块化多电平变换器的混合模型预测控制方法[J]. 电工技术学报, 2017, 32(14): 165-174.
Li Nan, Gao Feng. A Hybrid Model Predictive Control Method for Modular Multilevel Converter of Battery Energy Storage System. Transactions of China Electrotechnical Society, 2017, 32(14): 165-174.
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2017, Vol. 32 
