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作 者:孙安 陈阳 SUN An;CHEN Yang(Danyang Power Supply Branch,State Grid Jiangsu Electric Power Co.,Ltd.,Danyang 212300,Jiangsu,China)
机构地区:[1]国网江苏省电力有限公司丹阳市供电分公司,江苏丹阳212300
出 处:《流体测量与控制》2022年第6期87-91,共5页Fluid Measurement & Control
摘 要:常规的自动化太阳能光伏并网发电系统变量维度较高,在光照突变的情况下,导致最大功率点跟踪速度慢。为了解决这一问题,提出基于灰色预测的自动化太阳能光伏并网发电系统设计。在硬件设计上,设计2级式逆变器拓扑结构,使用数字信号处理(DSP)芯片作为控制模块的核心,可以控制逆变器转换电流,降低电流等数据的维度;在软件设计上,根据逆变器的型号确定逆变器转换效率,结合太阳能组件转换效率和光伏阵列的转换效率,计算系统总效率,求得系统当前时刻输出功率,在灰色预测技术支持下,由当前输出功率计算下一时刻的系统输出功率,确定发电量。实验结果表明:在光照强度突变的条件下,设计的基于灰色预测的光伏并网发电系统最大功率点跟踪效果较好,跟踪响应时间在0.5 s以内。In the case of sudden changes in light,the variable dimension of conventional automated solar photovoltaic grid connected power generation system is high,resulting in slow maximum power point tracking. In order to solve this problem,an automatic solar photovoltaic grid connected power generation system based on gray prediction is proposed.In hardware design,the topology of two-stage inverter is designed. Digital signal process(DSP) chip is used as the core of the control module to control the inverter conversion current and reduce the dimension of current and other data;In terms of software design,the inverter conversion efficiency is determined according to the inverter model. Combined with the conversion efficiency of solar modules and the conversion efficiency of photovoltaic arrays,the total efficiency of the system is calculated to obtain the current output power of the system. With the support of gray prediction technology,the current output power is used to calculate the system output power at the next time to determine the power generation. The experimental results show that the maximum power point tracking effect of the designed grid connected photovoltaic power generation system based on gray prediction is good under the condition of sudden change of light intensity,and the tracking response time is within 0.5 s.
关 键 词:灰色预测 自动化 太阳能 光伏并网发电 最大功率点 转换效率
分 类 号:TM615[电气工程—电力系统及自动化]
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