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适用于无线传感器网络太阳能系统的MPPT算法 被引量:4

MPPT algorithm for wireless sensor network solar power system
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摘要 结合无线传感器网络节点的工作特点及光伏供电系统特性,设计了一种新型光伏电池最大功率点跟踪算法。利用光伏电池物理特性中最大功率点随工作环境温度变化的事实,在无线传感器网络节点工作周期内将环境温度测量值引入跟踪算法中,实现系统最大功率点跟踪高可靠性、低复杂性、低成本及较高精度的目标。数学模型仿真及小型光伏电池实际测试结果均表明:该算法对最大功率点的跟踪效率达到91%以上,为无线传感器网络太阳能系统提供了可行的实现方法。 This paper describes a maximum power point tracking(MPPT) algorithm based on a wireless sensor network for photovoltaic cells.The maximum power point of a photovoltaic cell varies according to its working temperature.Therefore,environmental temperature measurements were combined with the wireless sensor network work cycle to achieve an accurate,reliable,simple and inexpensive maximum power point tracking system.Simulations and tests with a small photovoltaic cell both show that the efficiency of the maximum power point tracking algorithm is greater than 91%.
出处 《清华大学学报(自然科学版)》 EI CAS CSCD 北大核心 2011年第5期597-600,606,共5页 Journal of Tsinghua University(Science and Technology)
关键词 太阳能系统 最大功率点跟踪 无线传感器网络 光伏电池 传感器节点 solar power system maximum power point tracking wireless sensor network photovoltaic cell sensor node
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参考文献13

  • 1Akyildiz 1, Su W, Sankarasubramaniam Y, et al. A survey on sensor networks [J]. IEEE Comm Mag, 2002, 40(8): 102-111.
  • 2Paradiso J, Starner T. Energy seavcnging for mobile and wireless electronics [J]. IEEE Pervas Cotnput , 2005, 4( 1 ) : 18 27.
  • 3Alexander A, Taylor R, Vairavanathan V. et al. Solar powered ZigBee-based wireless motion surveillance: a protolype development and experimental resuhs[J]. WirelCommun MobCom, 2008, 8(10): 1255- 1276.
  • 4Nasipuri A, Cox R, Alasti H, etal. Wireless sensor network for substation monitoring: design and deployment [C]// Proc 6th ACM conf Embedded Network Sensor Systems. NY: ACM, 2008:365-366.
  • 5Taneja J, Jeong J, Culler D. Design, modeling, and capacity planning for micro solar power sensor networks [C]// Proc 7th Int Conf Information Processing Sensor Networks. WashingtonDC: IEEE, 2008:407 418.
  • 6Hu W, Bulusu N, Chou C, et al. Design and evaluation of a hybrid sensor network for cane toad monitoring L . ACM TOSN, 2009, 5(1): 4.
  • 7Salas V, Olias E, Barrado A, et al. Review of the maximum power point tracking algorithms {or stand alone photovoltaic systems [J]. Sol Energy Mater Sol Cells, 2006, 90(11): 1555 1578.
  • 8I.iu I. Q, Wang Z X. A variable voltage MPPT control method for photovoltaic generation system [J]. WSEAS Trans Circuits Syst, 2009, 8(4) : 335 - 349.
  • 9杨柳,周雒维,杜雄.单周控制光伏并网系统的最大功率控制研究[J].哈尔滨工程大学学报,2009,30(12):1386-1392. 被引量:2
  • 10刘树,刘建政,赵争鸣,王健,吴理博,袁立强.基于改进MPPT算法的单级式光伏并网系统[J].清华大学学报(自然科学版),2005,45(7):873-876. 被引量:15

二级参考文献27

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同被引文献34

  • 1李伟,李世超,王丹.太阳能光伏发电风险评价[J].农业工程学报,2011,27(S1):176-180. 被引量:15
  • 2张超,何湘宁.短路电流结合扰动观察法在光伏发电最大功率点跟踪控制中的应用[J].中国电机工程学报,2006,26(20):98-102. 被引量:149
  • 3Masoum M A S, Dehbonei H, Fuchs E F. Theoretical and experi- mental analyses of photovoltaic systems with voltage and current- based maximum power point tracking [ J ]. IEEE Transactions on Energy Conversion ,2002,17 (4) :514 -522.
  • 4Femia N, Petrone G, Spagnuolo G, et al. A technique for impro- ving P&O MPPT performances of double-stage grid-connected photovoltaic systems [ J ]. IEEE Transactions on Industrial Elec- tronics ,2009,56 ( 11 ) :4473 -4482.
  • 5Esram T,Chapman P L. Comparison of photovohaic array maximum power point tracking techniques [ J ]. IEEE Transactions on Energy Conversion ,2007,22 (2) :439 -449.
  • 6Safari A, Mekhilef S. Simulation and hardware implementation of incremental conductance MPPT with direct control method using cuk converter[ J-. IEEE Transactions on Industrial Electronics, 2011,58(6) :1154-1161.
  • 7Liu Fangrui, Duan Shanxu, Liu Fei, et al. A variable step size INC MPPT method for PV systems [ J 1. IEEE Transactions on Indus- trial Electronics ,2008,55 ( 7 ) :2622 -2628.
  • 8Chiu Chian-song. T-S fuzzy maximum power point tracking control of solar power generation systems[ J]. IEEE Transactions on Ener- gy Conversion,2010,25(4) :1123 -1132.
  • 9Taherbaneh M, Faez K. Maximum power point estimation for pho- tovohaic systems using neural networks [ C ]j/Proc of IEEE Int' 1 Conf on Control Autom,2007:1614-1619.
  • 10Femia N, Petrone G, Spagnuolo G, et al. Optimizing Duty-cy cle Perturbation of PO MPPT Technique[-A]. 2004 IEEE 35th Annual on Power Electronics Specialists Conference [C], 2004.

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