AU - Ammar, Hossam Hassan AU - Azar, Ahmad Taher AU - sharaby, Raafat AU - Mahmoud，m . i . PY - 2019 DA - 2019/11/28 TI - Metaheuristic优化分数阶增量电导(FO-INC)最大功率点跟踪翻译(MPPT) SP - 7687891六世- 2019 AB -本文旨在改善光伏(PV)系统使用Metaheuristic效率,优化分数阶增量电导(FO-INC)控制。提出的FO-INC控制光伏阵列的输出电压以获得最大功率点跟踪(MPPT)。增量电导MPPT (INC-MPPT)由于其简单和高效，是目前最常用的PV方案算法之一。然而，由于PV和DC-DC变换器的非线性和分数阶(FO)特性，传统的INC算法提供了监测速度和跟踪精度之间的权衡。利用分数阶微积分建立了PV系统的增强动力学模型，以描述系统的非线性特性。此外，还应用了三种元启发式优化技术;采用粒子群优化算法(PSO)、蚁群优化算法(ACO)和蚁群优化算法(ALO)对所提算法的FO参数进行优化。建立了基于matlab - simulink的光伏优化模型，并针对不同的inco - mppt技术进行了仿真。采用不同的技术对升压DC-DC变换器进行MPP控制。 The proposed optimization algorithms are, also, developed and implemented in MATLAB to tune the target parameters. Four performance indices are also introduced in this research to show the reliability of the comparative analysis of the proposed FO-INC with metaheuristic optimization and the conventional INC-MPPT algorithms when applied to a dynamical PV system under rapidly changing weather conditions. The simulation results show the effective performance of the proposed metaheuristic optimized FO-INC as a MPPT control for different climatic conditions with disturbance rejection and robustness analysis. SN - 1076-2787 UR - https://doi.org/10.1155/2019/7687891 DO - 10.1155/2019/7687891 JF - Complexity PB - Hindawi KW - ER -