Abstract：On control of grid-connected inverter with LCL filter, the inverter-side current model predictive control (MPC-i1) is adopted conventionally. The ultimate grid-side current is controlled indirectly by control of inverter-side current. Obviously, the control performance can be improved when the grid-side current is directly controlled. Therefore, two predictive current control algorithm (MPC-i1i2 and MPC-i1i2uC) which put LCL filter grid-side current vector, inverter side current vector and filter capacitor voltage vector in value function is proposed. For MPC-i1i2 algorithm, capacitance voltage proportional feedback active damping method is applied in the high frequency domain, thus the control structure is changed and the resonance is suppressed, meanwhile based on the LCL filter mathematical model in low frequency domain, the system prediction model and value function are established by combining two different discretization methods; MPC-i1i2uC algorithm adds the predictive value of the filter capacitor voltage to the value function, therefore the state variable proportional feedback active damping is not required. In order to minimize the error of the output value and the reference value of the system at the next moment, the output voltage vector needed at this moment is calculated by the value function. Simulation and experimental results present that the proposed algorithm can improve the current control performance effectively for inverter with LCL filter.
张晓, 谭力, 鲜嘉恒, 张辉. LCL并网逆变器预测电流控制算法[J]. 电工技术学报, 2019, 34(zk1): 189-201.
Zhang Xiao, Tan Li, Xian Jiaheng, Zhang Hui. Predictive Current Control Algorithm for Grid-Connected Inverter with LCL Filter. Transactions of China Electrotechnical Society, 2019, 34(zk1): 189-201.
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2019, Vol. 34 
