基于分段控制的光伏全工况MPPT研究
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TM912

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湖北省教育厅科学技术研究中青年人才基金(Q20171802);2022年度十堰市市级引导性科研项目(22Y04)


MPPT of photovoltaic at all operation conditions based on segmented control
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    摘要:

    光伏(PV)阵列输出特性随运行环境及自身工况的变化而变化.为满足不同工况下最大功率点跟踪(MPPT)控制需求,在对光伏阵列各工况下输出特性进行分析的基础上,提出了一种改进量子粒子群算法(QPSO)与扰动观察法相结合的MPPT分段控制方法.在跟踪控制初期,采用非一致性自适应变异DCWQPSO算法进行最大功率点全局搜索,使功率点快速收敛至最大功率点附近,提高跟踪速度;在跟踪控制后期,采用闭环模糊控制扰动观察法进行最大功率点局部搜索,提高跟踪精度.Matlab仿真结果表明,该分段控制方法在光伏阵列各工况下仅需0.32 s即可完成MPPT,并保持稳定,比其他控制方法具有更快的跟踪速度及更高的跟踪精度,可有效提高光伏发电效率.

    Abstract:

    The output characteristics of photovoltaic (PV) array change with the environmental conditions and running state.In order to meet the control requirements of Maximum Power Point Tracking (MPPT) under different operation conditions,a segmented control method combining improved Quantum Particle Swarm Optimization (QPSO)and perturb and observe algorithm is proposed after analyzing the output characteristics of photovoltaic array under various working conditions.The inconsistent adaptive mutation DCWQPSO is used to search the maximum power point globally in the initial stage of tracking control to make the power point converge to the maximum power point quickly in order to improve the tracking speed,then the perturb and observe algorithm based on closed-loop fuzzy control is used to search the maximum power point locally to improve the tracking accuracy.The Matlab simulation results show that the segmented control method can complete MPPT in only 0.32 s under various working conditions of photovoltaic array and remains stable,which has faster tracking speed and higher tracking accuracy than others,indicating its capacity to improve the efficiency of PV generation effectively.

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方胜利,马春艳,侯贸军,朱晓亮.基于分段控制的光伏全工况MPPT研究[J].南京信息工程大学学报(自然科学版),2023,15(4):478-487
FANG Shengli, MA Chunyan, HOU Maojun, ZHU Xiaoliang. MPPT of photovoltaic at all operation conditions based on segmented control[J]. Journal of Nanjing University of Information Science & Technology, 2023,15(4):478-487

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  • 收稿日期:2022-04-27
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  • 在线发布日期: 2023-07-06
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