电力系统及其自动化学报2016，Vol.28Issue(12)：70-76,7.DOI:10.3969/j.issn.1003-8930.2016.12.012
基于蚁群优化算法的光伏阵列多峰特性最大功率点跟踪
Maximum Power Point Tracking Based on Ant Colony Optimization Algorithm for Multi-peak Characteristic of PV Array
摘要
Abstract
As photovoltaic(PV)array’s power output curves show multi-peak characteristic under partially shaded con⁃ditions,traditional algorithms cannot track the global maximum power point of the array. Therefore,a method based on ant colony optimization(ACO)algorithm is proposed in this paper to track the global maximum power point.The algo⁃rithm generates the set voltage of PV system by making the ant crawl each decimal digit,and adjusts path pheromones according to measured power to aggregate the ants near the path of optimal set voltage after iteration. Finally,maximum power point tracking(MPPT)is realized. The simulation model of PV array is built in Simulink. The results show that the ACO algorithm can accurately and quickly achieve the global MPPT of PV arrays when the environment changes, which improves the power output efficiency of the PV array.关键词
光伏阵列/多峰特性/蚁群优化算法/最大功率点跟踪Key words
photovoltaic array/multi-peak characteristic/ant colony optimization algorithm/maximum power point track-ing(MPPT)分类
信息技术与安全科学引用本文复制引用
万晓凤,胡伟,余运俊,胡海林..基于蚁群优化算法的光伏阵列多峰特性最大功率点跟踪[J].电力系统及其自动化学报,2016,28(12):70-76,7.基金项目
国家国际科技合作专项资助项目（2014DFG72240），江西省科技支撑计划资助项目（2013BBE50102），江西省科技落地计划资助项目 （）
