PHOTOLTAIC MPPT CONTROL METHOD BASDE ON IPSO-NTSMC

Chang Yufang, Luo Mengyao, Gao Peng, Yan Huaicheng, Huang Wencong

Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 82-88.

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (1) : 82-88. DOI: 10.19912/j.0254-0096.tynxb.2024-1523

PHOTOLTAIC MPPT CONTROL METHOD BASDE ON IPSO-NTSMC

  • Chang Yufang1, Luo Mengyao1, Gao Peng1, Yan Huaicheng2, Huang Wencong1
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Abstract

To address the multi-peak problem of photovoltaic (PV) array output power under partial shading conditions, this paper proposes a composite control method that integrates an improved particle swarm optimization (IPSO) algorithm with non-singular terminal sliding mode control (NTSMC). First, the mathematical model and output characteristics of the PV array are analyzed. Second, an improved particle swarm optimization algorithm is designed to reduce the impact of inertia weight during execution, thereby enhancing the output power of the PV system under partial shading. Third, a non-singular terminal sliding mode switching surface is designed to overcome the singularity problem of traditional sliding mode control, simplifying the system structure and improving steady-state accuracy. Finally, simulation experiments are conducted on the Matlab/Simulink platform and compared with existing methods. The results demonstrate that the proposed strategy exhibits superior performance in terms of tracking speed and steady-state power fluctuation, significantly improving the maximum power point tracking (MPPT) effect of the PV system.

Key words

photovoltaic array / solar cells / sliding mode control / maximum power point tracking / particle swarm optimization / photovoltaic power generation / partial shading

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Chang Yufang, Luo Mengyao, Gao Peng, Yan Huaicheng, Huang Wencong. PHOTOLTAIC MPPT CONTROL METHOD BASDE ON IPSO-NTSMC[J]. Acta Energiae Solaris Sinica. 2026, 47(1): 82-88 https://doi.org/10.19912/j.0254-0096.tynxb.2024-1523

References

[1] 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 muti-peak MPPT of photovoltaic array based on modified gray wolf optimization algorithm[J]. Acta energiae solaris sinica, 2023, 44(3): 450-456.
[2] 李昂, 刘文锋, 李音柯, 等. 基于IP&O-ICS算法的光伏系统MPPT控制研究[J]. 太阳能学报, 2023, 44(5): 203-209.
LI A, LIU W F, LI Y K, et al.Research on MPPT control of photovoltaic system based on IP&O-ICS algorithm[J]. Acta energiae solaris sinica, 2023, 44(5): 203-209.
[3] 张东宁. 基于改进电导增量法的光伏最大功率点跟踪策略研究[J]. 太阳能学报, 2022, 43(8): 82-90.
ZHANG D N.Research on photovoltaic maximum power point tracking strategy based on improved conductance increment method[J]. Acta energiae solaris sinica, 2022, 43(8): 82-90.
[4] 王立舒, 白龙, 房俊龙, 等. 基于双曲正切函数的光伏/温差自适应MPPT控制策略研究[J]. 农业工程学报, 2021, 37(16): 184-191.
WANG L S, BAI L, FANG J L, et al.Self-adaptive photovoltaic/ temperature difference MPPT control strategy based on hyperbolic tangent function[J]. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37(16): 184-191.
[5] ALLAHABADI S, IMAN-EINI H, FARHANGI S.Fast artificial neural network based method for estimation of the global maximum power point in photovoltaic systems[J]. IEEE transactions on industrial electronics, 2021, 69(6): 5879-5888.
[6] 武迪, 许春雨, 郑丽君, 等. 基于β参数的光伏系统最大功率点跟踪算法研究[J]. 太阳能学报, 2020, 41(6): 234-241.
WU D, XU C Y, ZHENG L J, et al.Maximum power point tracking algorithm of photovoltaic system based on β-parameter[J]. Acta energiae solaris sinica, 2020, 41(6): 234-241.
[7] LI H, YANG D, SU W Z, et al.An overall distribution particle swarm optimization MPPT algorithm for photovoltaic system under partial shading[J]. IEEE transactions on industrial electronics, 2018, 66(1): 265-275.
[8] 王冉冉, 高慧敏, 张昕宇. 基于GA-GRU神经网络的光伏MPPT算法[J]. 太阳能学报, 2023, 44(9): 212-219.
WANG R R, GAO H M, ZHANG X Y.MPPT algorithm for photovoltaics based on GA-GRU neural network[J]. Acta energiae solaris sinica, 2023, 44(9): 212-219.
[9] DUNNA, VIJAYA KUMAR, et al.Design and real-time validation of higher order sliding mode observer-based integral sliding mode MPPT control for a DC microgrid[J]. IEEE Canadian journal of electrical and computer engineering, 2022, 45(4): 418-425.
[10] FANG Y M, ZHU Y K, FEI J T.Adaptive intelligent sliding mode control of a photovoltaic grid-connected inverter[J]. Applied sciences, 2018, 8(10):1756-1770.
[11] BARAEAN A, KASSAS M, ALAM MS, et al.Hybrid neural network and adaptive terminal sliding mode MPPT controller for partially shaded standalone pv systems[J]. Arabian journal for science and engineering, 2023, 48(11): 15527-15539.
[12] 何宁, 肖文勋. 基于改进型非奇异终端滑模控制的光伏MPPT实现[J]. 电气工程学报, 2022, 17(2): 160-167.
HE N, XIAO W X.Photovoltaic MPPT based on improved non-singular terminal sliding mode control[J]. Journal of electrical engineering, 2022, 17(2): 160-167.
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