Research on photovoltaic multi-peak MPPT base on multi-strategy hybrid improved MVO algorithm
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1.Hubei University of Automotive Technology;2.Shiyan Juneng Power Design Co. , Ltd

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    Abstract:

    The electrical power output of photovoltaic array has multi-peak characteristics under partial shading conditions,and changes with the external environment.To achieve efficient electricity output,the Multi-Verse optimization (MVO) algorithm which has outstanding advantages in solving low dimensional and small-scale optimization problems is used to carry out maximum power point tracking (MPPT), and integrating multiple strategies to improve the defects,which increases the diversity of the universe population by initializing the universe population by Latin hypercube sampling sampling strategy and implementing Cauchy mutation on the universe randomly swapped according to roulette strategy.Meanwhile,the Levy Flying Quantum Particle swarm optimization (QPSO) algorithm is introduced, and the wormhole existence probability and travel distance rate are adaptively adjusted to enhance the global exploration and local development capabilities of the algorithm.The Matlab simulation results show that the algorithm reduces MPPT time by more than 45% and get higher MPPT accuracy compared with other algorithms,so it has better MPPT performance,and can improve the efficiency of photovoltaic power generation efficiency.

    Reference
    [1] 张和平. 双碳背景下新能源技术发展现状及展望[J]. 现代化工, 2022, 42(08): 7-9.hang Heping. Prospect of new energy technology under“carbon peak and carbon neutralization”[J]. Modern Chemical Industry, 2022, 42(08): 7-9.
    [2] 苗青青, 石春艳, 张香平. 碳中和目标下的光伏发电技术[J]. 化工进展, 2022, 41(03): 1125-1131.iao Qingqing, Shi Chunyan, Zhang Xiangping. Photovoltaic technology under carbon neutrality[J]. Chemical Industry and Engineering Progress, 2022, 41(03): 1125-1131.
    [3] 陈佳凝, 魏霞, 王维庆. 基于多工况的光伏阵列的建模及输出特性分析[J]. 电源技术, 2022, 46(09): 1038-1042.hen Jianing, Wei Xia, Wang Weiqing. Modeling and output characteristic analysis of photovoltaic array based on multiple working conditions[J]. Chinese Journal of Power Sources, 2022, 46(09): 1038-1042.
    [4] 章文龙, 肖文波, 郁纪, 等. 局部遮荫下12种光伏阵列结构的输出特性研究[J]. 实验技术与管理, 2022, 39(03): 70-79.hang Wenlong, Xiao Wenbo, Yu Ji, et al. Research on output characteristics of twelve photovoltaic array structures under partial shading[J]. Experimental Technology and Management, 2022, 39(03): 70-79.
    [5] 花赟昊, 朱武, 郭启明. 光伏发电系统MPPT算法研究综述[J]. 电源技术, 2020, 44(12): 1855-1858.ua Yunhao, Zhu Wu, Guo Qiming. Review of MPPT algorithm of photovoltaic power generation systems[J].? Chinese Journal of Power Sources, 2020, 44(12): 1855-1858.
    [6] 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(03): 388-392.hou Rui, Xu Liang, Liu Wenhao, et al. Research on MPPT algorithm based on improved perturbation and observation method[J]. Chinese Journal of Power Sources, 2023, 47(03): 388-392.
    [7] 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(08): 82-90.hang Dongning. RESEARCH ON PHOTOVOLTAIC MAXIMUM POWER POINT TRACKING STRATEEY BASED ON IMPROVED CONDUCTANCE INCREMENT METHOD[J]. Acta Energiae Solaris Sinica, 2022, 43(08): 82-90.
    [8] 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(08): 140-145.iang Ping, Luan Yanjun, Zhang Wei, et al. RESEARCH OF MULT-PEAK MPPT UNDER PARTIAL SHADED CONDICIONS BASED ON IMPROVED PSO ALGORITHM[J]. Acta Energiae Solaris Sinica, 2021, 42(08): 140-145.
    [9] 房俊龙, 张卫丹, 宋朝, 等. 基于QPSO的MPPT控制研究[J]. 电气传动, 2019, 49(11): 88-91.ang Junlong, Zhang Weidan, Song Chao, et al. Research on MPPT Control Based on QPSO[J]. Electric Drive, 2019, 49(11): 88-91.
    [10] 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(03): 450-456.ao Mingxuan, Xu Zhao, Cui Lichuang, et al. RESEARCH OF MULT-PEAK MPPT OF PHOTOVOLTAIC ARRAY BASED ON MODIFIED GRAY WOLF OPTIMIZATION ALGORITHM[J]. Acta Energiae Solaris Sinica, 2023, 44(03): 450-456.
    [11] 岳有军, 成亚东, 赵辉, 等. 基于退火算法优化的PSO-PID光伏MPPT[J]. 电源技术, 2023, 47(05): 678-681.ue Youjun, Cheng Yadong, Zhao Hui, et al. PSO-PID photovoltaic MPPT based on annealing algorithm optimization[J]. Chinese Journal of Power Sources, 2023, 47(05): 678-681.
    [12] 马永翔, 王雨阳, 闫群民, 等. 基于CSA算法的光伏阵列多峰最大功率跟踪研究[J]. 电源技术, 2021, 45(01): 51-55.a Yongxiang, Wang Yuyang, Yan Qunmin, et al. Research on multi-peak maximum power tracking of photovoltaic array based on CSA[J]. Chinese Journal of Power Sources, 2021, 45(01): 51-55.
    [13] 徐建国, 王海新, 沈建新. 基于电导增量法与改进粒子群算法混合控制的最大功率点跟踪策略[J]. 可再生能源, 2019, 37(06): 824-831.u Jianguo, Wang Haixin, Shen Jianxin. The hybrid control Maximum Power Point Tracking(MPPT) strategy based on incremental conductance method and improved particle swarm optimization algorithm[J]. Renewable Energy Resources, 2019, 37(06): 824-831.
    [14] 张奕楠. 基于改进量子粒子群的光伏多峰MPPT研究[D]. 天津: 河北工业大学, 2020.hang Yinan. Study of Photovoltaic Multimodal Maximum Power Point Tracking based on Improved Quantum Particle Swarm Optimization[D]. Tianjin: Hebei University of Technology, 2020.
    [15] 王金玉, 苗飞祥, 董秀波. 基于灰狼 电导增量的局部遮阴下光伏最大功率跟踪[J]. 电气自动化, 2023, 45(03): 37-39.ang Jinyu, Miao Feixiang, Dong Xiubo. Photovoltaic Maximum Power Point Tracking Control under Local Shading Based on Gray Wolf Algorithm Conductance increment[J]. Electrical Automation, 2023, 45(03): 37-39.
    [16] 朱娟娟, 刘新宇, 闫群民, 等. 基于ICS-INC的局部阴影下光伏最大功率点追踪研究[J].陕西科技大学学报,2023,41(02):184-190.hu Juanjuan, Liu Xinyu, Yan Qunmin, et al. Research on photovoltaic maximum power point tracking under local shadow based on ICS-INC[J]. Journal of Shaanxi University of Science Technology, 2023,41(02): 184-190.
    [17] 李大虎, 周泓宇, 周悦, 等. 基于多元宇宙优化算法的混合光伏-温差系统MPPT设计[J/OL]. 中国电力: 1-9[2023-06-27].i Dahu, Zhou Hongyu, Zhou Yue, et al. Multi-verse Optimization based MPPT Design of Hybrid PV-TEG systems under Partial Shading Condition[J/OL]. Electric Power: 1-9[2023-06-27].
    [18] 吴忠强, 曹碧莲, 侯林成, 等. 基于改进多元宇宙优化算法的光伏系统最大功率点跟踪[J]. 电子与信息学报, 2021, 43(12): 3735-3742.u Zhongqiang, Cao Bilian, Hou Lincheng, et al. Maximum Power Point Tracking for Photovoltaic System Based on Improved Multi-Verse Optimization[J]. Journal of Electronics Information Technology, 2021, 43(12): 3735-3742.
    [19] 苏建徽, 余世杰, 赵为, 等. 硅太阳电池工程用数学模型[J]. 太阳能学报, 2001(04) : 409-412.u Jianhui, Yu Shijie, Zhao Wei, et al. INVESTIGATION ON ENGINEERING ANALYTICAL MODEL OF SILICON SOLAR CELLS[J]. Acta Energiae Solaris Sinica, 2001(04): 409-412.
    [20] 刘建成. 局部阴影条件下光伏阵列MPPT模糊控制最优算法[J]. 南京信息工程大学学报(自然科学版), 2018, 10(4): 473-479.iu Jiancheng. Optimal fuzzy control for MPPT of photovoltaic array under partial shadow conditions[J]. Journal of Nanjing University of Information Science Technology (Natural Science Edition), 2018, 10(4): 473-479.
    [21] Mirjalili S, Mirjalili S M, Hatamlou A. Multi-verse optimizer:a nature-inspired algorithm for global optimization[J]. Neural Computing and Applications, 2016, 27(2): 495- 513.
    [22] 黄泽霞, 俞攸红, 黄德才. 惯性权自适应调整的量子粒子群优化算法[J]. 上海交通大学学报, 2012, 46(2): 228-232.uang Zexia, Yu Youhong, Huang Decai. Quantum-Behaved Particle Swarm Algorithm with Self-adapting adjustment of Inertia Weight[J]. Journal of Shanghai Jiaotong University, 2012, 46(2): 228-232.
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History
  • Received:July 15,2023
  • Revised:September 11,2023
  • Adopted:September 11,2023
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