| 摘要: |
| 目的 在局部遮阴条件下,传统最大功率点追踪( MPPT) 算法通常会跟踪到局部最优值,单个群智能优化算
法在多极值的情况下能有效跟踪最大功率点,但追踪时间相对较长,为此,提出一种基于黑寡妇( BWOA) 与扰动观
察法相结合的 MPPT 算法。 方法 将 boost 电路中开关管的占空比定义为算法中的个体位置,通过对输出占空比的
调整实现 MPPT 控制。 结果 相比于原 BWOA 算法和 PSO 算法,基于 BWOA 与 P&O 结合算法的 MPPT 能够更加快
速地跟踪到最大功率点。 结论 与扰动观察法的结合可以有效加快 BWOA 算法收敛速度,并提高算法收敛精度。 |
| 关键词: 最大功率点追踪 黑寡妇算法 扰动观察法 |
| DOI： |
| 分类号: |
| 基金项目: |
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| Research on Photovoltaic MPPT Combined with Black Widow Algorithm and P&O |
|
AN Ning
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School of Electrical and Information Engineering Anhui University of Science & Technology Anhui Huainan 232001
China
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| Abstract: |
| Objective Under local shade conditions the traditional maximum power point tracking MPPT algorithm
usually tracks the local optimum. A single swarm intelligence optimization algorithm can effectively track the maximum
power point in the presence of multiple extreme values but the tracking time is relatively long. Therefore an MPPT
algorithm based on the combination of the black widow optimization algorithm BWOA and perturbation and observation
P&O method was proposed. Methods In this method the duty cycle of the switch tube in the boost circuit was defined
as the individual position in the algorithm and the MPPT control was realized by adjusting the output duty cycle. Results
Compared with the original BWOA algorithm and PSO algorithm MPPT based on the combination of BWOA and P&O
algorithm can track the maximum power point more quickly. Conclusion The combination of the P&O can effectively
accelerate the convergence speed of the BWOA algorithm and improve the convergence accuracy. |
| Key words: maximum power point tracking black widow algorithm perturbation and observation method |
