A Novel Algorithm for Fast and Adaptive Maximum Power Point Tracking of Wind Energy Generation System

Author:

You Xia1,Zhou Bo1,Zuo Guang Jie1,Guo Hong Hao1

Affiliation:

1. Nanjing University of Aeronautics and Astronautics

Abstract

Keeping wind energy conversion system (WECS) running on maximum power point (MPP) can make full use of wind energy. In this paper, authors put forward a novel hybrid maximum power point tracking (MPPT) algorithm which combines three points comparing (TPC) method with power-signal feedback (PSF) method. WECS based on doubly-salient electro-magnetic generator (DSEG) is used to validate the effectiveness of proposed algorithm. The whole WECS is simulated in Matlab/SimuLink, simulation results obtained confirm that the proposed algorithm is more fast and efficient than TPC method.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference14 articles.

1. Rotation speed of WECS can be controlled by regulating of DSEG, while of DSEG is proportional to excitation current, so we can make WECS run on optimal speed by regulating excitation current of DSEG[12-13]. Fig. 7 Configuration of propose algorithm The WECS models are established using Matlab/SimuLink, and the TPC algorithm and Hybrid MPPT algorithm are written in MATLAB Fcn function. Simulation results are shown in Fig. 8 and Fig. 9. From Fig. 8(b) and Fig. 9(b), we can see that both TPC method and hybrid method are effective. When wind speed is constant, wind energy conversion coefficients Cp can reach the optimum value of 0. 48. When wind speed changes, both methods can quickly track new MPP, the response time is very short. Moreover, compared with Fig. 8(c), in Fig. 9(c), after 16 seconds' searching of five MPPs, hybrid MPPT uses PSF method to track MPPT for the following time, thus can reduce rotation speed ripple effectively. Conclusions Maximum wind power extraction is one of the key technologies in WECS. Existing max-power extraction algorithms commonly used have been briefly reviewed. A novel hybrid MPPT method which combined TPC with PSF control has been put forward. Simulation results validated the effectiveness of proposed MPPT method. Moreover, the proposed algorithm can also be used to tracking MPPs for wind energy conversion systems with other generators or even be transferred to realize MPPT of solar energy systems. Acknowledgment The authors acknowledge the financial support of the National Basic Research Program of China (973Program 2007CB210302) and Youth Foundation of NUAA(Y0820-032). Referrences.

2. Agarwal V, Aggarwal R, A novel scheme for rapid tracking of maximum power point in wind energy generation systems, IEEE Transactions on Energy Conversion, Vol. 25, No. 1, p.228–236, (2010).

3. Tan Kelvin, Syed Islam, Optimum control strategies in energy conversion of PMSG wind turbine system without mechanical sensors, IEEE Transactions on Energy Conversion, Vol. 19, No. 2, p.392–399, (2004).

4. Cardenas R., Pena R., Proboste J., Sensorless control of a doubly-fed induction generator for stand alone operation, PESC 2004, p.3378–3383.

5. Quincy Wang, Liuchen Chang, An intelligent maximum power extraction algorithm for inverter-based variable speed wind turbine systems, IEEE Transactions on Power Electronics, vol. 19, No. 5, p.1242–1249, (2004).

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3