变PWM步长的爬山法在光伏发电系统中的应用  被引量:4

Application of hill climbing method with variable PWM step in photovoltaic power generation system

在线阅读下载全文

作  者:裴贝贝 王维庆[1] 王海云[1] 李媛[1] Pei Beibei;Wang Weiqing;Wang Haiyun;Li Yuan(School of Electrical Engineering,Xinjiang University,Urumqi 830047,China)

机构地区:[1]新疆大学电气工程学院,乌鲁木齐830047

出  处:《电测与仪表》2018年第23期96-102,共7页Electrical Measurement & Instrumentation

基  金:国家自然科学基金资助项目(51667020);新疆维吾尔自治区重点实验室项目(2016D3021)

摘  要:为了最大限度的利用太阳能,避免因外部环境或负载突变时传统算法在最大功率点跟踪过程中出现的功率连续振荡、稳态精度低的问题,文中对光伏发电系统提出了一种变PWM步长的爬山算法。该方法是在单次迭代中确定扰动方向和步长大小来追踪最大功率点。通过仿真和实验两方面验证了变步长爬山算法在稳态和动态两种条件下MPPT系统的输出特性,并对比固定步长的爬山法对MPPT系统的性能进行了综合评估。结果表明变步长爬山算法的有效性,该方法能快速精确地搜索到光伏阵列的最大功率点,减少了响应时间、恢复时间和功率振荡,提高了光伏发电系统的能量转换效率。In order to maximize the use of solar energy,and avoid the problem of low steady-state accuracy or continuous power oscillations in the tracking of the maximum power point tracking due to the external environment or the load mutation,this paper proposes a variable step hill-climbing algorithm PWM of photovoltaic power generation system.This method is to determine the disturbance direction and step size in single iteration to track the maximum power point.The output characteristics of variable step hill-climbing algorithm MPPT in the steady-state and dynamic under the two conditions of the system is validated through two aspects of simulation and experiment,and the performance of the fixed step climbing method compared to the MPPT system for a comprehensive assessment.The results showed that the effectiveness of the variable step hill-climbing algorithm,this method can quickly and accurately search the maximum power point of PV array,reduce the response time and recovery time and power oscillation,which improves the energy conversion efficiency of photovoltaic power generation system.

关 键 词:光伏系统 最大功率点追踪 爬山法 占空比 

分 类 号:TM615[电气工程—电力系统及自动化]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象