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

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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.

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Advanced Materials Research (Volumes 383-390)

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3633-3638

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November 2011

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[11] 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.

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