Duty Cycle Of Power Converter Research Articles

Independent Component Analysis and Sophisticated Distribution Control Algorithmsbased Improving the Efficecny of Solar Power Generation

Today, people are increasingly worried about environmental problems due to fuel shortage and generation of renewable energy sources. Among the renewable resources, wind generators and photovoltaic panels are primary competitors. For most of their applications, they have the advantages of having a load interface with different power converter circuits for maintenance and free of contamination, but their installation costs are high. Normally Photovoltaic modules also have relatively low conversion efficiency and Overall system cost of PV using Maximum Power Point Tracking (MPPT) techniques are high. The volume can be reduced by the use of high-performance power conditioners that allow for maximum energy consumption. Existing solar power generation systems have some disadvantages of being all day as a result of less direct exposure to true sunlight. This work is aimed at exploring the functions of a MPPT system that includes installations of sophisticated distribution control (SDC) and Independent Component Analysis (ICA) methods. The duty cycle of power converter is significantly controlled using proposed SDC and ICA algorithms and guarantee MPPT operation at its highest efficiency. The function of proposed ICA and SDC has been compared with widely used in traditional algorithms in the MATLAB Simulink environment. Over 97% of capacity is achieved through the respective SDC and ICA methods.

MPPT of Doubly-Fed Induction Generator in Wind Farm Using SPSA Algorithm

In order to make wind power generation system be free from outside interference, and make doubly-fed induction generator (DFIG) easily operate at maximum power point under variable wind speed, simultaneous perturbation stochastic approximation (SPSA) algorithm for tracking maximum power of wind power generation system is proposed in this paper. SPSA algorithm indirectly controls DFIG speed through adjusting duty cycle of power converter, makes system operate at maximum power point under any wind speed, thus the maximum power output is transmitted to the load. SPSA algorithm not only does not need to set up PID three parameter values, but also does not anemometer and tachometer in practical applications. Simulation results show no matter how wind speed changes, SPSA algorithm can effectively improve power output of wind power generation system, and make tip speed ratio and power coefficient be near optimum value, reduce system cost.