TY - EJOU AU - An, Dong AU - Jia, Junqing AU - Cai, Wenchao AU - Yang, Deyu AU - Lv, Chao AU - Zhu, Jiawei AU - Jiao, Yingying TI - A Novel Aquila Optimizer Based PV Array Reconfiguration Scheme to Generate Maximum Energy under Partial Shading Condition T2 - Energy Engineering PY - 2022 VL - 119 IS - 4 SN - 1546-0118 AB - This paper develops a real-time PV arrays maximum power harvesting scheme under partial shading condition (PSC) by reconfiguring PV arrays using Aquila optimizer (AO). AO is based on the natural behaviors of Aquila in capturing prey, which can choose the best hunting mechanism ingeniously and quickly by balancing the local exploitation and global exploration via four hunting methods of Aquila: choosing the searching area through high soar with the vertical stoop, exploring in different searching spaces through contour flight with quick glide attack, exploiting in convergence searching space through low flight with slow attack, and swooping through walk and grabbing prey. In general, PV arrays reconfiguration is a problem of discrete optimization, thus a series of discrete operations are adopted in AO to enhance its optimization performance. Simulation results based on 10 cases under PSCs show that the mismatched power loss obtained by AO is the smallest compared with genetic algorithm, particle swarm optimization, ant colony algorithm, grasshopper optimization algorithm, and butterfly optimization algorithm, which reduced by 4.34% against butterfly optimization algorithm. KW - PV array reconfiguration; partial shading condition; Aquila optimizer; maximum power extraction; total-cross-tied DO - 10.32604/ee.2022.019284