Advances in New and Renewable Energy >
An Improved Incremental Conductance Method for MPPT Control of PV Systems under Partially Shaded Conditions
Received date: 2016-10-21
Revised date: 2016-11-30
Online published: 2016-12-28
Under partially shaded conditions, traditional maximum power point tracking (MPPT) methods may be trapped in local maximum power point due to the multiple peaks of PV array output caused by different output characteristics of series-connected PV modules. This paper proposes an improved incremental conductance method for two-level grid-connected PV system under partially shaded conditions. By analyzing the variation range of maximum power point voltage, voltage searching range is set to improve searching efficiency. And the voltage is controlled by the duty cycle of DC/DC boost converter. The proposed method can search out every local maximum power point and ensure PV system working at global maximum power point. Simulation results confirm that the proposed method can find out maximum power point under partially shaded or unshaded conditions, and improve the PV generation efficiency significantly.
CHEN Ling-yu , HUANG Lei , ZHANG Ji-yuan , WANG Hao , CUI Qiong , SHU Jie . An Improved Incremental Conductance Method for MPPT Control of PV Systems under Partially Shaded Conditions[J]. Advances in New and Renewable Energy, 2016 , 4(6) : 486 -491 . DOI: 10.3969/j.issn.2095-560X.2016.06.009
[1] 易芳. 局部阴影条件下光伏系统MPPT控制研究[D]. 秦皇岛: 燕山大学, 2013.
[2] 刘立群, 王志新, 张华强. 部分遮蔽光伏发电系统模糊免疫MPPT控制[J]. 电力自动化设备, 2010, 35(7): 96-99. DOI: 10.3969/j.issn.1006-6047.2010.07.019.
[3] 朱艳伟, 石新春, 但扬清, 等. 粒子群优化算法在光伏阵列多峰最大功率点跟踪中的应用[J]. 中国电机工程学报, 2012, 32(4): 42-48.
[4] RAJESH R, CAROLIN M M. A comprehensive review of photovoltaic systems[J]. Renewable and sustainable energy reviews, 2015, 51: 231-48. DOI: 10.1016/j.rser. 2015.06.006.
[5] SUDHAKAR BABU T, RAJASEKAR N, SANGEETHA K. Modified particle swarm optimization technique based maximum power point tracking for uniform and under partial shading condition[J]. Applied soft computing, 2015, 34: 613-624. DOI: 10.1016/j.asoc.2015.05.029.
[6] RIZZO S A, SCELBA G. ANN based MPPT method for rapidly variable shading conditions[J]. Applied energy, 2015, 145: 124-132. DOI: 10.1016/j.apenergy.2015. 01.077.
[7] BELKAID A, COLAK I, ISIK O. Photovoltaic maximum power point tracking under fast varying of solar radiation[J]. Applied energy, 2016, 179: 523-530. DOI: 10.1016/j.apenergy.2016.07.034.
[8] BENDIB B, BELMILI H, KRIM F. A survey of the most used MPPT methods: Conventional and advanced algorithms applied for photovoltaic systems[J]. Renewable and sustainable energy reviews, 2015, 45: 637-648. DOI: 10.1016/j.rser.2015.02.009.
[9] 余运俊, 张翔, 王时胜, 等. 电导增量法光伏发电MPPT研究综述[J]. 电源技术, 2014, 38(12): 2440-2444. DOI: 10.3969/j.issn.1002-087X.2014.12.090
[10] PATEL H, AGARWAL V. MATLAB-based modeling to study the effects of partial shading on PV array characteristics[J]. IEEE transactions on energy conversion, 2008, 23(1): 302-310. DOI: 10.1109/TEC.2007.914308.
[11] 杨永恒, 周克亮. 光伏电池建模及MPPT控制策略[J]. 电工技术学报, 2011, 26(S): 229-234.
[12] 王云平, 阮新波, 李颖. 不均匀光照光伏单元串联电路快速MPPT方法[J]. 中国电机工程学报, 2015, 35(19): 4870-4878. DOI: 10.13334/j.0258-8013.pcsee. 2015.19.004.
[13] 刘邦银, 段善旭, 康勇. 局部阴影条件下光伏模组特性的建模与分析[J]. 太阳能学报, 2008, 29(2): 188-192. DOI: 10.3321/j.issn:0254-0096.2008.02.012.
/
| 〈 |
|
〉 |