电源学报

基于Jaya算法的遮阴条件下光伏MPPT控制研究

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郭伟欣中国电源学会会员 , 张志东

电源学报 | 建模与控制 2025,23(5): 105-111

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电源学报 |建模与控制 2025 , 23 (5) : 105 -111

基于Jaya算法的遮阴条件下光伏MPPT控制研究

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郭伟欣中国电源学会会员, 张志东

作者信息

山西工程技术学院大数据与智能工程系，阳泉　045000

通讯作者:

郭伟欣（1994—　），男，中国电源学会会员，通信作者，硕士，助教。研究方向：电力系统自动控制研究。E-mail：1050140102@qq.com。

作者简介:

张志东（1979—　），男，硕士，副教授。研究方向：智能控制，大数据技术及应用。E-mail：zhangzhidong@sxgcjsxy7.wecom.work。

Research on Photovoltaic MPPT Control under Shading Conditions Based on Jaya Algorithm

Weixin GUO Member, CPSS, Zhidong ZHANG

Affiliations

School of Big Data and Intelligent Engineering, Shanxi Institute of Technology, Yangquan 045000, China

出版时间: 2025-09-30 doi: 10.13234/j.issn.2095-2805.2025.5.105

文章导航

摘要

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针对光伏阵列在遮阴条件下群体启发式算法最大功率点跟踪MPPT（maximum power point tracking）执行依赖于算法特定的参数设置，导致算法设计难度较大、追踪效率较低、追踪误差较大等问题，提出了基于Jaya算法实现遮阴条件下MPPT的追踪控制。该算法只需通用的控制参数，不需要任何特定的控制参数，且在迭代过程中，最大功率的解始终朝着最佳解移动，并且舍弃最坏解，避免陷入局部解的情况，使系统始终准确追踪最大功率，保持高效率的运行。在MATLAB/Simulink中搭建遮阴条件下光伏阵列仿真模型，将Jaya算法与传统PSO、GA算法在同一模型下进行对比分析，实验结果表明：在寻优过程中，采用Jaya算法，最大功率追踪时间最短、追踪误差及振荡最小。在光照强度突变时，同样可以重新准确、快速定位到全局最大功率点。

关键词

光伏阵列 / 遮阴条件 / 最大功率点跟踪 / Jaya / 寻优

Abstract

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Aimed at the issue that the implementation of maximum power point tracking (MPPT) using group heuristic algorithms for photovoltaic arrays under shading conditions depends on algorithm-specific parameter settings, which leads to problems such as difficulty in the design of algorithms, a low tracking efficiency and large tracking errors, the tracking control of MPPT under shading conditions is implemented based on the Jaya algorithm. The proposed algorithm requires only general control parameters without any specific control parameters, and the solution of maximum power always moves towards the best solution during iterations. In addition, the worst solution is discarded to avoid local solutions, so that the system always tracks the maximum power accurately and maintains efficient operation. A simulation model of photovoltaic arrays under shading conditions is built in MATLAB/Simulink, and the Jaya algorithm is compared with traditional PSO and GA algorithms under the same model. Experimental results show that during the process of optimization, the use of the Jaya algorithm can track the maximum power in the shortest time while keeping the smallest tracking error and oscillation. At the same time, the global maximum power point can also be re-located accurately and quickly when the light intensity changes abruptly.

Key words

Photovoltaic array / shading condition / maximum power point tracking (MPPT) / Jaya / optimization

引用本文

郭伟欣中国电源学会会员, 张志东. 基于Jaya算法的遮阴条件下光伏MPPT控制研究. 电源学报, 2025 , 23 (5) : 105 -111 . DOI: 10.13234/j.issn.2095-2805.2025.5.105

Weixin GUO, Zhidong ZHANG. Research on Photovoltaic MPPT Control under Shading Conditions Based on Jaya Algorithm[J]. Journal of Power Supply, 2025 , 23 (5) : 105 -111 . DOI: 10.13234/j.issn.2095-2805.2025.5.105

参考文献

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文献

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参考文献引证文献

排序方式：

[1]

田政卿, 张勇, 刘向, 等. 光伏电站建设对陆地生态环境的影响: 研究进展与展望[J]. 环境科学, 2024, 45(1): 239-247. Tian Zhengqing, Zhang Yong, Liu Xiang, et al. Effects of photovoltaic power station construction on terrestrial environment: Retrospect and prospect[J]. Environmental Science, 2024, 45(1): 239-247. (in Chinese)

[2]

Bag A, Subudhi B, Ray P K. An adaptive sliding mode control scheme for grid integration of a PV system[J]. CPSS Transactions on Power Electronics and Applications, 2018, 3(4): 362-371.

[3]

Hamidi F, Olteanu S C, Popescu D, et al. Model based optimisation algorithm for maximum power point tracking in photovoltaic panels[J]. Energies, 2020, 13(18): 4798.

[4]

李琼, 吴文宝, 刘斌, 等. 基于迁移学习的光伏组件鸟粪覆盖检测[J]. 太阳能学报, 2022, 43(2): 233-237. Li Qiong, Wu Wenbao, Liu Bin, et al. Bird droppings coverage detection of photovoltaic module based on transfer learning[J]. Acta Energiae Solaris Sinica, 2022, 43(2): 233-237. (in Chinese)

[5]

毛琳, 任正云. 基于变步长不完全偏微分电导增量法的MPPT控制[J]. 电源学报. 2025, 23(2): 125-132. Mao Lin, Ren Zhengyun. MPPT control based on variable step size incomplete partial differential incremental conductance method[J]. Journal of Power Supply. 2025, 23(2): 125-132. (in Chinese)

[6]

Bansal J C, Singh P K, Pal N R. Evolutionary and Swarm Intelligence Algorithms[M]. Switzerland: Springer Cham, 2019.

[7]

Díaz D, Valledor P, Ena B, et al. Improved method for parallelization of evolutionary metaheuristics[J]. Mathematics, 2020, 8(9): 1476.

[8]

Syafrudin M, Alfian G, Fitriyani N L, et al. A self-care prediction model for children with disability based on genetic algorithm and extreme gradient boosting[J]. Mathematics, 2020, 8(9): 1590.

[9]

公茂果, 高原, 王炯乾, 等. 基于进化策略的自适应联邦学习算法[J]. 中国科学: 信息科学, 2023, 53(3): 437-453. Gong Maoguo, Gao Yuan, Wang Jiongqian, et al. Adaptive federated learning algorithm based on evolution strategies[J]. Scientia Sinica (Informationis), 2023, 53(3): 437-453. (in Chinese)

[10]

张春黎. 基于人工免疫算法和蚁群算法的协同控制方法研究[J]. 河南工程学院学报(自然科学版), 2022, 34(3): 69-73. Zhang Chunli. Research on the cooperative control method based on artificial immune algorithm and ant colony algorithm[J]. Journal of Henan University of Engineering (Natural Science Edition), 2022, 34(3): 69-73. (in Chinese)

[11]

梁明玉, 蔡新红, 赵咪. 基于改进粒子群算法的光伏系统MPPT控制研究[J]. 计算机仿真, 2021, 38(10): 133-139, 153. Liang Mingyu, Cai Xinhong, Zhao Mi. Research on MPPT control of photovoltaic system based on improved particle swarm optimization[J]. Computer Simulation, 2021, 38(10): 133-139, 153. (in Chinese)

[12]

Deng Wu, Xu Junjie, Zhao Huimin. An improved ant colony optimization algorithm based on hybrid strategies for scheduling problem[J]. IEEE Access, 2019, 7: 20281-20292.

[13]

郑旭彬, 李梦达, 梁智超, 等. 局部遮荫下改进蝴蝶算法的MPPT控制仿真研究[J]. 计算机仿真, 2022, 39(1): 96-101. Zheng Xubin, Li Mengda, Liang Zhichao, et al. MPPT control strategy of improved butterfly algorithm under partial shading[J]. Computer Simulation, 2022, 39(1): 96-101. (in Chinese)

[14]

刘聘凭, 程若发, 许立斌, 等. 基于光伏MPPT采样电流的自适应变步长INC算法[J]. 电源学报, 2023, 21(5): 58-66. Liu Pinping, Cheng Ruofa, Xu Libin, et al. Adaptive variable-step INC algorithm based on PV MPPT sampling current[J]. Journal of Power Supply, 2023, 21(5): 58-66. (in Chinese)

[15]

Abdel-Rahim O, Wang Haoyu. A new high gain DC-DC converter with model-predictive-control based MPPT technique for photovoltaic systems[J]. CPSS Transactions on Power Electronics and Applications, 2020, 5(2): 191-200.

[16]

Dash S K, Ray P K. Power quality improvement utilizing PV fed unified power quality conditioner based on UV-PI and PR-R controller[J]. CPSS Transactions on Power Electronics and Applications, 2018, 3(3): 243-253.

2025年第23卷第5期

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文章信息

doi: 10.13234/j.issn.2095-2805.2025.5.105

接收时间：2023-06-05
首发时间：2026-10-26
出版时间：2025-09-30

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收稿日期：2023-06-05
修回日期：2023-09-30
录用日期：2023-11-03

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作者信息

山西工程技术学院大数据与智能工程系，阳泉　045000

通讯作者:

郭伟欣（1994—　），男，中国电源学会会员，通信作者，硕士，助教。研究方向：电力系统自动控制研究。E-mail：1050140102@qq.com。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2025.5.105

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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