MPPT CONTROL METHOD FOR PHOTOVOLTAIC SYSTEMS BASED ON P-V CHARACTERISTIC CURVE

Ye Jianying, Wan Wei, Liu Zhaoqi, Li Zhouchen, Liu Lei, Lin Bo

Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 490-500.

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Acta Energiae Solaris Sinica ›› 2025, Vol. 46 ›› Issue (9) : 490-500. DOI: 10.19912/j.0254-0096.tynxb.2024-0759

MPPT CONTROL METHOD FOR PHOTOVOLTAIC SYSTEMS BASED ON P-V CHARACTERISTIC CURVE

  • Ye Jianying, Wan Wei, Liu Zhaoqi, Li Zhouchen, Liu Lei, Lin Bo
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Abstract

In order to improve the efficiency and stability of photovoltaic power generation systems, a maximum power point tracking (MPPT) control algorithm based on the P-V characteristic curve is proposed. This method can accurately control and locate the maximum power point of the system by collecting P-V characteristic curve data in real time, and avoids the system stability problem caused by frequently adjusting the duty cycle. The dual BOOST converter topology is adopted, where the main circuit and P-V characteristic curve acquisition circuit cooperate with each other to ensure that the system always operates at the maximum power point. Through theoretical derivation and in-depth analysis of the working principle, the key parameters of the dual BOOST circuit are designed. The circuit modeling, simulation, and analysis are performed using Matlab/Simulink, and the MPPT algorithm for a 16 kW photovoltaic power generation system is verified through hardware-in-the-loop (HIL) simulation. The experimental results show that this method can quickly and accurately locate the maximum power point, with minimal impact on the system and load, effectively improving system efficiency and stability.

Key words

photovoltaic power generation / maximum power point tracking / control / algorithm / P-V characteristics

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Ye Jianying, Wan Wei, Liu Zhaoqi, Li Zhouchen, Liu Lei, Lin Bo. MPPT CONTROL METHOD FOR PHOTOVOLTAIC SYSTEMS BASED ON P-V CHARACTERISTIC CURVE[J]. Acta Energiae Solaris Sinica. 2025, 46(9): 490-500 https://doi.org/10.19912/j.0254-0096.tynxb.2024-0759

References

[1] 解宝, 李萍宇, 苏绎仁, 等. 局部阴影下光伏阵列的最大功率点跟踪算法研究[J]. 太阳能学报, 2023, 44 (12): 47-52.
XIE B, LI P Y, SU Y R, et al. Research on maximum power point tracking algorithm of PV array under local shadow[J]. Acta energiae solaris sinica, 2023, 44(12): 47-52.
[2] 周睿, 徐良, 刘文浩, 等. 基于改进扰动观察法的光伏MPPT控制算法研究[J]. 电源技术, 2023, 47(3): 388-392.
ZHOU R, XU L, LIU W H, et al. Research on MPPT algorithm based on improved perturbation and observation method[J]. Chinese journal of power sources, 2023, 47(3): 388-392.
[3] 陈景文, 张文倩, 李晓飞. 基于改进电导增量法的光伏MPPT控制[J]. 智慧电力, 2021, 49(9): 47-55.
CHEN J W, ZHANG W Q, LI X F. Photovoltaic MPPT control based on improved conductance increment method[J]. Smart power, 2021, 49(9): 47-55.
[4] RADIANTO D, SHOYAMA M.Improved incremental conductance based maximum power point tracking of photovoltaic system[J]. International journal on energy conversion IRECON, 2016, 4(5): 139-143.
[5] 贠武超. 基于鲸鱼粒子群融合算法的MPPT研究[J]. 电源技术, 2023, 47(10): 1351-1354.
YUN W C. Research on MPPT based on whale particle swarm hybrid algorithm[J]. Chinese journal of power sources, 2023, 47(10): 1351-1354.
[6] 盛四清, 陈玉良, 张晶晶. 基于差分进化人工蜂群算法的光伏最大功率跟踪策略研究[J]. 电力系统保护与控制, 2018, 46(11): 23-29.
SHENG S Q, CHEN Y L, ZHANG J J. Research on maximum power point tracking strategy based on differential evolution artificial bee colony algorithm of photovoltaic system[J]. Power system protection and control, 2018, 46(11): 23-29.
[7] 李艳波, 李林宜, 刘维宇等. 基于TSO-MSMA算法在光伏系统MPPT中的研究[J]. 太阳能学报, 2023, 44 (8): 324-330.
LIY B, LI L Y, LIU W Y, et al. Research on photovoltaic system MPPT based on TSO-MSMA algorithm[J]. Acta energiae solaris sinica, 2023, 44(8): 324-330.
[8] SHI J Y, LING L T, XUE F, et al.Combining incremental conductance and firefly algorithm for tracking the global MPP of PV arrays[J]. Journal of renewable and sustainable energy, 2017, 9(2): 023501.
[9] EL-HELW H M, MAGDY A, MAREI M I. A hybrid maximum power point tracking technique for partially shaded photovoltaic arrays[J]. IEEE access, 2017, 5: 11900-11908.
[10] 赵帅旗, 肖辉, 刘忠兵, 等. 基于CSA-IP&O的局部遮阴下光伏最大功率点追踪[J]. 电力系统保护与控制, 2020, 48 (5): 26-32.
ZHAO S Q, XIAO H, LIU Z B, et al.Photovoltaic maximum power point tracking under partial shading based on CSA-IP&O [J]. Power system protection and control, 2020, 48(5): 26-32.
[11] 宁平华, 张庆丰, 冯德仁, 等. 一种优化的光伏全局最大功率点追踪方法[J]. 电力系统保护与控制, 2021, 49(22): 152-160.
NING P H, ZHANG Q F, FENG D R, et al. An optimized photovoltaic global maximum power point tracking method[J]. Power system protection and control, 2021, 49(22): 152-160.
[12] SELVAKUMAR S, MADHUSMITA M, KOODALSAMY C, et al.High-speed maximum power point tracking module for PV systems[J]. IEEE transactions on industrial electronics, 2019, 66(2): 1119-1129.
[13] 宁平华, 胡雪峰, 陈乐柱, 等. 基于电压-功率扫描的光伏多峰快速MPPT方法[J]. 电力系统及其自动化学报, 2019, 31(11): 23-30, 74.
NING P H, HU X F, CHEN L Z, et al. Photovoltaic multi-peak fast MPPT method based on voltage-power scanning[J]. Proceedings of the CSU-EPSA, 2019, 31(11): 23-30, 74.
[14] 章达宾, 朱其祥, 张家齐. 模糊控制的光伏发电MPPT系统设计[J]. 福州大学学报(自然科学版), 2018, 46(6): 906-910.
ZHANG D B, ZHU Q X, ZHANG J Q. MPPT control for photovoltaic power generation based on fuzzy algorithm[J]. Journal of Fuzhou University (natural science edition), 2018, 46(6): 906-910.
[15] 王志豪, 李自成, 王后能, 等. 基于RBF神经网络的光伏系统MPPT研究[J]. 电力系统保护与控制, 2020, 48(6): 85-91.
WANG Z H, LI Z C, WANG H N, et al. MPPT study of solar PV power system based on RBF neural network algorithm[J]. Power system protection and control, 2020, 48(6): 85-91.
[16] 吴子牛, 孟润泉, 韩肖清. 基于改进多种群遗传算法的光伏阵列多峰值MPPT研究[J]. 电网与清洁能源, 2022, 38(8): 102-109.
WU Z N, MENG R Q, HAN X Q. Research on multi-peak mppt of photovoltaic array based on improved multi-population genetic algorithm[J]. Power system and clean energy, 2022, 38(8): 102-109.
[17] 刘宜罡, 邹应全, 张晓强, 等. 基于差分进化的光伏MPPT算法改进[J]. 太阳能学报, 2020, 41(6): 264-271.
LIU Y G, ZOU Y Q, ZHANG X Q, et al. An improved photovoltaic MPPT algorithm based on differential evolution algorithm[J]. Acta energiae solaris sinica, 2020, 41(6): 264-271.
[18] 姜萍, 栾艳军, 张伟, 等. 局部遮阴下基于改进PSO的多峰值MPPT研究[J]. 太阳能学报, 2021, 42(8): 140-145.
JIANG P, LUAN Y J, ZHANG W, et al. Research of mult-peak MPPT under partial shaded conditions based on improved PSO algorithm[J]. Acta energiae solaris sinica, 2021, 42(8): 140-145.
[19] 王利峥, 刘光宇. 基于简化蚁群算法的光伏MPPT跟踪控制[J]. 电源技术, 2020, 44(8): 1152-1155.
WANG L Z, LIU G Y. MPPT tracking control for photovoltaic system based on simplified ant colony algorithm[J]. Chinese journal of power sources, 2020, 44(8): 1152-1155.
[20] 毛明轩, 许钊, 崔立闯, 等. 基于改进灰狼优化算法的光伏阵列多峰MPPT研究[J]. 太阳能学报, 2023, 44(3): 450-456.
MAO M X, XU Z, CUI L C, et al. Research on multi-peak mppt of photovoltaic array based on modified gray wolf optimization algorithm[J]. Acta energiae solaris sinica, 2023, 44(3): 450-456.
[21] 张致用, 陈志聪, 吴丽君, 等. 利用改进布谷鸟优化算法的光伏全局MPPT方法[J]. 福州大学学报(自然科学版), 2024, 52(2): 139-146.
ZHANG Z Y, CHEN Z C, WU L J, et al. Photovoltaic global MPPT method using improved cuckoo optimization algorithm[J]. Journal of Fuzhou University (natural science edition), 2024, 52(2): 139-146.
[22] 黄荣赓, 陈路遥. 基于蝙蝠与粒子群混合优化算法的光伏MPPT研究[J]. 电源技术, 2022, 46(3): 324-328.
HUANG R G, CHEN L Y. Photovoltaic MPPT study based on bat and particle swarm hybrid optimization algorithm[J]. Chinese journal of power sources, 2022, 46(3): 324-328.
[23] 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 Z C, JIANG Z J, YANG X H. An improved global MPPT method based on power closed-loop control[J]. Power system protection and control, 2018, 46(1): 57-62.
[24] SATIF A, HLOU L, ELGOURI R.An improved perturb and observe maximum power point tracking algorithm for photovoltaic systems[C]//2018 Renewable Energies, Power Systems & Green Inclusive Economy (REPS-GIE). Casablanca, Morocco, 2018: 1-6.
[25] MAHMOUD M M.Transient analysis of a PV power generator charging a capacitor for measurement of the I-V characteristics[J]. Renewable energy, 2006, 31(13): 2198-2206.
[26] 任志玲, 毛奕栋. 基于改进黏菌算法的光伏多峰值MPPT控制[J]. 太阳能学报, 2024, 45 (2): 421-428.
REN Z L, MAO Y D. Multi-peak MPPT control of PV array based on improved slime mold algorithm[J]. Acta energiae solaris sinica, 2024, 45(2): 421-428.
[27] 吴玲, 张秀锦, 刘秋华, 等. 基于多元宇宙优化算法的光伏发电MPPT控制算法[J]. 太阳能学报, 2023, 44(9): 204-211.
WU L, ZHANG X J, LIU Q H, et al. MPPT control algorithm of photovoltaic power generation based on multi-verse optimization algorithm[J]. Acta energiae solaris sinica, 2023, 44(9): 204-211.
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