一种基于功率闭环控制的改进全局MPPT方法
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(南昌大学信息工程学院,江西 南昌 330031)

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吴志程(1992—),男,通信作者,硕士研究生,研究方向为新能源发电技术;E-mail:abcsjsa@126.com
江智军(1963—),男,学士,教授,研究方向为电力电子技术在微电网中的应用;
杨晓辉(1978—),男,博士,副教授,研究方向为新能源在电力系统中的应用。

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国家自然科学基金资助项目(61662044);江西省自然科学基金项目(20132BAB211039);江西省科技支撑计划项目(20142BBE50037,20151BBE50050)


An improved global MPPT method based on power closed-loop control
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(School of Information Engineering, Nanchang University, Nanchang 330031, China)

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    摘要:

    在部分阴影的条件下,光伏阵列的P-U特性曲线呈现多峰值。针对现有方法在多峰值情况下最大功率点追踪的速度和准确度的不足,提出了一种基于功率闭环控制的改进方法。该方法首先采用功率闭环控制确定最大功率点所在电压范围,其次通过分析粒子群法和0.8倍开路电压法,选取适合算法对该电压范围进行精确的追踪。最后以两种典型的阴影条件为例,对现有的基于功率闭环的方法和所提方法进行对比仿真。结果证明了两种方法均能精确地追踪最大功率点,所提方法在追踪速度上有显著提升。

    Abstract:

    Under partially shaded condition, the P-U characteristic curve of PV array shows the multi-peak value. In view of existing methods being lacking in speed and precision in the case of multi-peak maximum power point tracking, this paper puts forward an improved method based on power closed-loop control. Firstly, this method adopts power closed-loop control to determine the maximum power point voltage range. Then by analyzing the particle swarm method and 80% of open-circuit voltage algorithm, this method selects suitable algorithm for accurately tracking the voltage range. Finally, by taking two typical shadow conditions for example, this paper takes the existing method based on power closed-loop and the proposed method to make compared simulation. The final results show that the two methods can accurately track the maximum power point and the proposed method has significant improvement on the tracking speed. This work is supported by National Natural Science Foundation of China (No. 61662044), Natural Science Foundation of Jiangxi Province (No. 20132BAB211039), and Science and Technology Support Plan of Jiangxi Province (No. 20142BBE50037 and No. 20151BBE50050).

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吴志程,江智军,杨晓辉.一种基于功率闭环控制的改进全局MPPT方法[J].电力系统保护与控制,2018,46(1):57-62.[WU Zhicheng, JIANG Zhijun, YANG Xiaohui. An improved global MPPT method based on power closed-loop control[J]. Power System Protection and Control,2018,V46(1):57-62]

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  • 收稿日期:2016-12-13
  • 最后修改日期:2017-05-11
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  • 在线发布日期: 2018-01-10
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