电测与仪表2016，Vol.53Issue(20)：9-14,6.
基于电导增量法的模型预测控制光伏MPPT算法
The MPPT algorithm with model predictive control based on incremental conductance method
摘要
Abstract
Due to the variability and randomness behavior of the external environment , the global maximum power point of the PV is always erratic .In order to make the PV system obtain the maximum power output under the complex environment .A MPPT optimization algorithm with the model predictive controller ( MPC) based on incremental con-ductance method is proposed .The algorithm combines the incremental conductance algorithm with the MPC to com-plete the fast track of the maximum power point of the PV system under complicated environment in the external envi -ronment.By establishing the system performance index function , then the future behavior of the controlled variables are evaluated and estimated , and the direction of P-U curve is predicted .Finally, the simulink simulation shows that the method this paper presented can improve the tracking speed and control accuracy of the PV system in the light in -tensity mutations compared with separate using of the traditional incremental conductance method .关键词
光伏系统/电导增量法/模型预测/最大功率点跟踪Key words
PV system/INC/MPC/MPPT分类
信息技术与安全科学引用本文复制引用
刘涛,王时胜,余运俊..基于电导增量法的模型预测控制光伏MPPT算法[J].电测与仪表,2016,53(20):9-14,6.基金项目
国家自然科学基金（61563034）；国家国际科技合作专项（2014DFG72240）；江西省自然科学基金（20151BAB206051）；江西省科技支撑计划 （）
