Solar Mppt
A Study on Maximum Power Point Tracking Algorithms for Photovoltaic Systems
A Study on Maximum Power Point Tracking Algorithms for Photovoltaic Systems
Ting-Chung Yu Yu-Cheng Lin
Department of Electrical Engineering Lunghwa University of Science and Technology Abstract
The purpose of this paper is to study and compare three maximum power point tracking (MPPT) algorithms in a photovoltaic simulation system. The Matlab/Simulink is used in this paper to establish a model of photovoltaic system with MPPT function. This system is developed by combining the models of established solar module and DC-DC buck-boost converter with the algorithms of perturbation and observation (P&O), incremental conductance (INC) and hill climbing (HC), respectively. The system is simulated under different climate conditions and MPPT algorithms. According to the comparisons of the simulation results, it can be observed that the photovoltaic simulation system can track the maximum power accurately using the three MPPT algorithms discussed in this paper. P&Q MPPT algorithm possesses fast dynamic response and well regulated PV output voltage than hill climbing algorithm. Since the deterministic process of INC algorithm is more complicated than the other two algorithms, therefore, the simulation time spent by INC algorithm is also a little longer than the other two algorithms.
Keywords: Maximum power point tracking (MPPT), perturbation and observation, incremental conductance, hill climbing.
1. Introduction
According to numerous use of the fossil fuel, the reserves of petroleum substantially and rapidly reduced and will be depleted in a few decades. In Taiwan, ninety-five percentages of the needed energy resources is imported from abroad. Since the crisis of energy depletion won’t happen in a short period of time, however, researchers and scientists have done a lot of researches for the development of alternative energy sources. Solar energy is one of the alternative clean energy
A Study on Maximum Power Point Tracking Algorithms for Photovoltaic Systems
Ting-Chung Yu Yu-Cheng Lin
Department of Electrical Engineering Lunghwa University of Science and Technology Abstract
The purpose of this paper is to study and compare three maximum power point tracking (MPPT) algorithms in a photovoltaic simulation system. The Matlab/Simulink is used in this paper to establish a model of photovoltaic system with MPPT function. This system is developed by combining the models of established solar module and DC-DC buck-boost converter with the algorithms of perturbation and observation (P&O), incremental conductance (INC) and hill climbing (HC), respectively. The system is simulated under different climate conditions and MPPT algorithms. According to the comparisons of the simulation results, it can be observed that the photovoltaic simulation system can track the maximum power accurately using the three MPPT algorithms discussed in this paper. P&Q MPPT algorithm possesses fast dynamic response and well regulated PV output voltage than hill climbing algorithm. Since the deterministic process of INC algorithm is more complicated than the other two algorithms, therefore, the simulation time spent by INC algorithm is also a little longer than the other two algorithms.
Keywords: Maximum power point tracking (MPPT), perturbation and observation, incremental conductance, hill climbing.
1. Introduction
According to numerous use of the fossil fuel, the reserves of petroleum substantially and rapidly reduced and will be depleted in a few decades. In Taiwan, ninety-five percentages of the needed energy resources is imported from abroad. Since the crisis of energy depletion won’t happen in a short period of time, however, researchers and scientists have done a lot of researches for the development of alternative energy sources. Solar energy is one of the alternative clean energy
References: [1] C. A. P. Tavares, K. T. F. Leite, W. I. Suemitsu, M. D. Bellar, “Performance evaluation of photovoltaic solar system with different MPPT methods,” Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE, pp.719-724, 3-5 Nov. 2009. [2] C. Hua, J. Lin, C. Shen, “Implementation of DSP-controlled photovoltaic system with peak power tracking,” IEEE Trans. On Industrial Electronics, Vol. 45, No. 1, 1998, pp. 99-107. [3] Fangrui Liu, Yong Kang, Yu Zhang, Shanxu Duan, “Comparison of P&O and hill climbing MPPT methods for grid-connected PV converter,” 3rd IEEE Conference on Industrial Electronics and Applications, 2008 (ICIEA 2008), pp.804-807, 3-5 June 2008. [4] Chih-Chiang Hua, Jong-Rong Lin, “Fully digital control of distributed photovoltaic power systems,” Proceedings of IEEE International Symposium on Industrial Electronics (ISIE 2001), vol. 1, pp. 1-6, June 2001. [5] Weidong Xiao, A modified adaptive hill climbing maximum power point tracking control method for photovoltaic power system, Master Thesis, The University of Brtish Columbia, July 2003. [6] Ting-Chung Yu, Yi-Ting Shen, “Analysis and Simulation of Maximum power point tracking for photovoltaic systems,” Proceedings of the 30th ROC Symposium on Electrical Power Engineering, Taoyuan, Taiwan, pp. 92-96, Nov. 28-29, 2009. [7] N. Mutoh, M. Ohno, T. Inoue, “A method for MPPT control while searching for parameters corresponding to weather conditions 35 for PV generation systems,” IEEE Transactions on Industrial Electronics, vol.53, no.4, pp.1055-1065, June 2006. [8] NianChun Wang, Zuo Sun, K. Yukita, Y. Goto, K. Ichiyanagi, “Research of PV model and MPPT methods in Matlab,” Asia-Pacific Power and Energy Engineering Conference (APPEEC 2010), pp.1-4, 28-31 March 2010. [9] Jia-Chen Zhuang, Photovoltaic Engineering-Solar Cells, Chuan Hwa Book CO., LTD, Taipei, 1997. [10] D. P. Hohm, M. E. Ropp, “Comparative study of maximum power point tracking algorithms,” Progress in Photovoltaics: Research and Applications, vol. 11, no. 1, pp. 47–62, January 2003. [11] T. Esram, P. L. Chapman, “Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques,” IEEE Transactions on Energy Conversion, vol. 22, no. 2, June 2007. [12] Jae-Ho Lee, HyunSu Bae, Bo-Hyung Cho, “Advanced incremental conductance MPPT algorithm with a variable step size,” 12th International Conference on Power Electronics and Motion Control, 2006 (EPE-PEMC 2006), pp.603-607, Aug. 30-Sept. 1, 2006. [13] Y. Yusof, S. H. Sayuti, M. Abdul Latif, M. Z. C. Wanik, “Modeling and simulation of maximum power point tracker for photovoltaic system,” Proceedings of Power and Energy Conference, 2004 (PECon 2004), pp. 88- 93, 29-30 Nov. 2004. 龍華科技大學學報第三十期,2010.12 太陽能發電系統最大功率追蹤演算法之研究 余定中 林雨澄 龍華科技大學電機系 摘要 本文主要目的是針對太陽能發電系統中三種最常見的最大功率追蹤(MPPT)演算法 做一個比較，本文使用 Matlab/Simulink 軟體進行建模與模擬的工作，將建模完成的太陽 能電池模型與直流-直流昇降壓型轉換器模型結合，並且搭配同為功率回授的擾動觀察 法、增量電導法與爬坡法來建構出一個具有最大功率追蹤功能的太陽能發電系統，並且 針對這三種最大功率追蹤法在不同天候狀況下進行模擬與分析。經由模擬結果的比較， 可以觀察到三種追蹤演算法均能準確地追蹤到最大功率，其中擾動觀察法的動態反應較 爬坡法為快，且太陽能電池模組(PV 模組)輸出電壓的調變結果亦較爬坡法為優，而由於 增量電導法的判斷過程較複雜，因此其追蹤時的模擬時間亦較其他兩種方法稍長。 關鍵詞：最大功率追蹤、擾動觀察法、增量電導法、爬坡法。 36