Abstract: Aiming at the multi-peak characteristics of PV array under partial shadow conditions and the defects of traditional ant lion optimization algorithm,this paper presents a control algorithm for MPPT in PV system base on improving ant lion optimization algorithm.The improvements include targeted initialization of the ant lion position,introduced an weight coefficient adaptive adjustment strategy into the position update formula of ants,and trap range optimization of ant lion. Through simulation and statistical analysis,the multipeak MPPT comparison is carried out between the proposed algorithm is compared with ALO,PSO,CSO,SFLA,FPA,P＆O and InC.The simulation and experimental results demonstrate that in both static and dynamic environments the IALO provides much better tracking accuracy and rapidity and it can effectively improve the efficiency of PV power generation under partial shadow.