INC-Fuzzy Dual Mode For PV MPPT Algorithm Optimization Control

With the global energy problem has become serious increasingly, New forms of power generation have gotten a lot of focus, and solar energy is favorited because of its inexhaustible,green environmental protection, etc. The development of solar photovoltaic power generation technology is always restricted by the photoelectric conversion efficiency, MPPT( Maximum Power Point Tracking)has improved this problem, and was used in photo voltaic power generation system widely, but the current MPPT control method is difficult to achieve the optimizing between optimum speed and tracking stability. For these problems, this paper takes the maximum power point algorithm optimization as research object, it presents conductance- fuzzy dual mode MPPT optimization control algorithm, using simulation model for analysis and setting up experimental platform for practical verification. The main research content includes the following several aspects:(1) The advantages and research status of photo voltaic power generation are introduced, and the research methods and technical route are given.(2) Research the working principle of photovoltaic cells in detail, establishing its mathematical model and simulation model. Clear and definite PV output characteristic, namely the only existence maximum power point under stable environment parameters, and giving the dynamic trend of the output along with the change of environment parameters.(3) Study of various PV MPPT control algorithms, and analysis the algorithm which have been applied widely in detail, comparing their advantages and disadvantages, as the theoretical basis of common optimization algorithm between tracking speed and stability.(4) The dual mode control theory is introduced, taking incremental conductance method and fuzzy control method for simulation, and presenting MPPT optimize control algorithm based on conductance-fuzzy dual mode. It puts forward four performance indexes of MPPT: the first time tracking the maximum power point, the output average power of system, the amplitude of power,the time tracking the maximum power point again after environmental parameters have changed.Each performance index is obtained by the simulation data, and analysis the superiority of the proposed algorithm in this paper.(5) A small power experiment platform is established on the basis of simulation, and the hardware circuit of each module are designed. Finally, selecting different environment parameters for test and proving the correctness of proposed algorithm.