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作 者:郑伟[1] 智勇[1] 陈仕彬[1] 梁福波[1] 李养俊 魏乔[2] 章云[2]
机构地区:[1]国网甘肃省电力公司电力科学研究院,兰州730050 [2]西安电子科技大学机电工程学院,西安710071
出 处:《微电机》2016年第11期67-71,共5页Micromotors
基 金:国网甘肃省电力公司科技项目(522722140042)
摘 要:为了提高蓄电池充电的快速性,延长蓄电池的使用寿命,设计了一种基于MSP430的光伏控制器,针对传统方法无法实现光伏组件对蓄电池的稳定供电问题,提出一种基于SQP优化的光伏控制器智能充电控制方法,该方法能够快速准确的进行光伏组件最大功率点的计算,改善光伏组件输出电能的稳定性,有效提高蓄电池充电效率。通过分析光伏电池的模型特性,深入探索三段式充电控制策略,提出了基于SQP优化恒压法MPPT的控制策略,并对该方法进行仿真分析,验证了算法的快速性和准确性。In order to improve the rapidity of battery charging and prolong the service life of the battery, a photovohaic controller based on MSP430 was designed. In view of the problem that traditional methods can't achieve the battery power supply stably, a kind of intelligent charging was put forward. The method can calculate the maximum power point photovoltaic controller based on SQP of PV modules fast and accurately to improve the stability of the output of photovoltaic modules, which can improve the efficiency of battery char- ging effectively. Through the analysis of the model characteristics of photovohaic cells, a three-stage charging control strategy was explored, and the SQP optimizing method was used in MPPT control, the results of the simulation prove the quickness and accuracy of the algorithm.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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