Research on Single Neuron Adaptive PID Control for MPPT of Wind Power System Using Switched Reluctance Generator

Abstract:

Switched reluctance generator (SRG) has a promising prospect for variable speed wind energy application because of its ruggedness, advantage cost, simplicity and ability to work over wide speed ranges. This paper presents the application of a single neuron adaptive PID algorithm to the problem of maximum power point tracking (MPPT) control in the wind power system using SRG, and a 750W, three phase (6/4) SRG prototype is chosen for the study. The nonlinear characteristics of the SRG and the wind turbine are described firstly, then the optimal speed tracking strategy based on the single neuron adaptive PID control for MPPT of the wind power system using SRG is investigated in the paper. Based on the developed model in MATLAB environment, simulation studies are performed in various conditions including a step change in the wind speed or in the load of SRG. Simulation results show the control system can quickly and steadily track the optimal curve to realize the MPPT with excellent dynamic and static performances, which verify the effectiveness of the control strategy investigated in the paper.

• Periodical: Advanced Materials Research (Volumes 608-609)
• Pages: 770-774
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.608-609.770
• Online since: December 2012
• Authors: Hong Hua Wang, Cheng Liang Wang
• Keywords: Maximum Power Point Tracking (MPPT), Neuron Control, Switched Reluctance Generator, Wind Power

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