摘要
在实际的复杂应用环境下,光伏阵列不仅存在因局部阴影情况影响导致输出功率曲线(P-U曲线)呈现多极值点的问题,还具有难以考察的传感器精度、采样精度等实际应用限制所带来的量测噪声问题。为此,在分析复杂应用环境下光伏阵列的输出特性的基础上,提出先采用递推最小二乘估计来削弱量测噪声的影响,再运用比粒子群算法控制更简单,鲁棒性更好的人工蜂群算法跟踪全局最大功率点的MPPT控制策略。最后通过仿真与实验,验证了该MPPT控制策略的可行性和有效性。
In the practical complex application environment, the PV array not only has the problem of pres-enting the multi extreme point of the output power curve（P-U curve） in the partial shade conditions,but also has the difficulty of measuring the noise caused by the sensor accuracy and the sampling accuracy. In this paper, the output characteristics of photovoltaic system in complex application environment are analyzed. And this paper proposes using recursive least squares estimation methods to weaken the effects of measured noise. Then, this paper proposes the artificial bee colony （ABC） MPPT control algorithm. Finally, the feasibility and effectiveness of the MPPT control strategy is verified by simulations and experiments.
出处
《组合机床与自动化加工技术》
北大核心
2016年第7期92-95,共4页
Modular Machine Tool & Automatic Manufacturing Technique
基金
国家自然科学基金项目(51467013)
江西省科技支撑计划项目(20123BBE50077)
关键词
复杂应用环境
光伏MPPT
递推最小二乘滤波
人工蜂群算法
complex application environment
MPPT
the recursive least squares estimation
artificial bee colony algorithm
