In order to reduce the maximum overshoot and undershoot of the DC-link voltage variation, and minimize power ripples with low current distortion in accord with IEEE Std. 519–2014, an improved predictive direct power control (PDPC) of three-phase (3-phase) shunt active power filter (SAPF), using two metaheuristic methods, namely Grey Wolf Optimizer (GWO) and Ant Lion Optimizer (ALO) algorithms, is presented. Simulation studies using MATLAB/Simulink have been carried out to verify the efficacy of the two proposed approaches, PDPC-GWO and PDPC-ALO. In addition, the overall system is validated experimentally in real time using dSPACE 1104 card. Performance of both PDPC-GWO and PDPC-ALO is compared with the conventional method to show their efficacy. The results show that PDPC-ALO is more efficient than both PDPC-GWO and the conventional method.

为了减少直流母线电压变化的最大过冲和下冲，并根据 IEEE Std. 519–2014，三相（3相）并联有源滤波器（SAPF）的改进预测直接功率控制（PDPC），使用两种元启发式方法，即灰狼优化器（GWO）和蚂蚁狮子优化器（ALO）算法， 被表达。已经使用 MATLAB/Simulink 进行了仿真研究，以验证两种提议的方法 PDPC-GWO 和 PDPC-ALO 的有效性。此外，整个系统使用 dSPACE 1104 卡进行实时实验验证。将 PDPC-GWO 和 PDPC-ALO 的性能与传统方法进行比较以显示其功效。结果表明，PDPC-ALO 比 PDPC-GWO 和传统方法更有效。