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基于改进混合粒子群算法MPPT控制研究 被引量:1

Research on MPPT Control of PV System Based on Improved Hybrid Particle Swarm Algorithm
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摘要 基于光伏阵列的物理机制,结合光伏电池的等效电路,建立了数学模型,在MATLAB/Simulink仿真环境下,建立了可以模拟恒定条件、光强突变、温度突变条件下仿真的独立光伏系统模型,将PSO算法改进为Geese-HPSO算法,进行基于光伏阵列MPPT控制的独立光伏系统仿真,同时将仿真结果与扰动观察法进行对比,验证了Geese-HPSO算法跟踪最大功率点的快速性与准确性。 Based on the physical mechanism of photovoltaic array, combined with the equivalent circuit of pho-tovoltaic cells, the mathematical model is built. In MATLAB/Simulink, different simulation models are developedfor the independent photovoltaic system which can be imitated in the situations of a constant condition, light intensi-ty mutation and temperature mutation. PSO algorithm is improved to Geese-HPSO algorithm. The independent pho-tovoltaic system based on photovoltaic array maximum power point tracking(MPPT) control is simulated and thesimulation results are compared with the disturbance observation method. The quickness and accuracy of the im-proved Geese-HPSO algorithm to track the maximum power point are testified.
出处 《光电技术应用》 2016年第4期37-41,共5页 Electro-Optic Technology Application
关键词 光伏 MPPT控制 Geese-HPSO算法 MATLAB/SIMULINK photovoltaic maximum power point tracking(MPPT) control Geese-HPSO algorithm MATLAB/Simulink
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  • 1杨海柱,金新民.并网光伏系统最大功率点跟踪控制的一种改进措施及其仿真和实验研究[J].电工电能新技术,2006,25(1):63-67. 被引量:17
  • 2肖晓丽,胡宁静,李春芳,田悦宏,黄继红.基于遗传策略的过多指定点路由算法的研究[J].计算机工程与应用,2007,43(19):160-163. 被引量:1
  • 3Chihchiang Hua, Chihming Shen. Control of DC/DC Converier for Solar Energy ,System with Maximum Power Tracking[A]. 23rd International Coference on Industrial Electronics Control and Instrumentation [C]. 1997, 2: 827 -832.
  • 4Blickle T,Thiele L. A Comparison of Selection Schemes used in the Genetic Algorithms[R]. TIK - Report, Swiss Federal Institute of Technology(ETH), 1995.
  • 5Syswerda G. Uniform Crossover in Genetic Algorithms[A]. Proceedings of the Third International Conference on Genetic Algorithms [C]. San Mateo, CA: Morgan Kaufman, 1989 : 2 - 9.
  • 6Deb K, Agrawal S. Understanding Interactions among Genetic Algorithm Parameters[A]. Foundations of Genetic Algorithms[C]. Francisco : Morgan Kauffman, 1998 :265 - 286.
  • 7Weidong Xiao, Dunford W. G. A Modified Adaptive Hill Climbing MPPT Method for Photovohaic Power Systems [A]. Power Electronics Specialists Conference[C]. 2004:1957- 1 963.
  • 8Nicola Femia,Giovanni Petrone,Giovanni Spagnuolo,et al.Optimization of Perturb and Observe Maximum Power Point Tracking Method[J].IEEE Trans.on Power Electronics,2005,20 (4):963 ~973.
  • 9Nobuyoshi Mutoh,Takatoshi Matuo,Kazuhito Okada,et al.Predicion-Data-Based Maximum-Power-Point-Tracking Method for Photovoltaic Power Generation Systems[A].IEEE 33rd Anual of Power Electronics Specialists Conference,PESC'02[C].23~27 June,2002(3):1489~1494.
  • 10焦阳,宋强,刘文华.光伏电池实用仿真模型及光伏发电系统仿真[J].电网技术,2010,34(11):198-202. 被引量:153

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