基于模拟退火-混合蛙跳法的多峰值MPPT算法  

Multi-peak MPPT Algorithm Based on Simulation Annealing and Shuffled Frog Leaping Algorithm

作　　者：闵轩 江智军[1] 杨晓辉[1] MIN Xuan;JIANG Zhi-jun;YANG Xiao-hui(School of Information Engineering,Nanchang University,Nanchang 830000,China)

机构地区：[1]南昌大学信息工程学院,江西南昌330000

出　　处：《水电能源科学》2018年第10期215-218,共4页Water Resources and Power

基　　金：国家重点基础研究发展计划(973计划)(2011CB302400);国家高技术研究发展计划(863计划)(2013AA013804);国家自然科学基金项目(51765042;61463031;61662044);江西省科技支撑计划项目(20142BBE50037;20151BBE50050)

摘　　要：根据光伏阵列在实际生产中的局部阴影情况建立了光伏阵列的实际生产模型,并针对局部阴影情况导致的多峰值问题设计了一种基于模拟退火-混合蛙跳法(SA-SFLA)的多峰值功率最高值跟踪技术(MPPT),即在保留混合蛙跳算法跳出局部功率最优点能力的同时,引进模拟退火算法来提升跟踪全局功率最大点的速度和精度。最后通过Simulink仿真,证实了该算法进行MPPT多峰跟踪的性能较混合蛙跳法有了显著提高,有益于光伏阵列效能的提升。According to the partial shadow of the PV array in actual production,actual production model of the PV array was established.A multi-peak maximum power tracking algorithm based SA-SFLA was designed to solve the multipeak problem which caused by partial shadow.The algorithm applied the ability of SFLA to jump out the local power point,and introduced the SAA to improve the speed and accuracy of tracking the global maximum power point.Simulink simulation verified the performance of this algorithm,which is significantly improved compared with the SFLA,thus it is beneficial to the improvement of PV array performance.

关 键 词：光伏阵列 实际生产模型 功率最高值跟踪技术 多峰值 模拟退火-混合蛙跳法 SIMULINK仿真 

分 类 号：TM615[电气工程—电力系统及自动化]