Boost Converters

The modeling, simulation and control strategy of a hybrid power system (HPS) integrating a wind energy conversion system(WECS) and a solar photovoltaic system (SPV). The model includes wind turbine, photovoltaic panels, permanent magnet synchronous generator (PMSG), power converters and maximum power point tracking (MPPT) controllers. A supervisory control unit, designed to execute maximum power point tracking (MPPT), is introduced to maximize the simultaneous energy harvesting from overall power generation under different climatic conditions. Two contingencies are considered and categorized according to the power generation from each energy source, and the load requirement. In PV system Perturb & Observe (P&O) algorithm is used as control logic for the Maximum Power Point Tracking (MPPT) controller and Hill Climb Search (HCS) algorithm is used as MPPT control logic for the Wind power system in order to maximizing the power generated. The dynamic behavior of the proposed HPS is examined under different conditions based on wind speed variation and solar radiations. The developed HPS consists of a 50 W photovoltaic panel and 300 W wind turbine. The resultant model offers a good strategy to ensure power reliability under all conditions using renewable energies. A Simulinkmodel of the proposed Hybrid system with the MPPT controlled Boost converters and Voltage regulated Inverter for stand- alone application is developed in MATLAB.

Introduces a method for monitoring power electronic converters to detect impending instability. The method involves using a perturbation signal that is near-resonant with respect to a possible period doubling instability. A system output variable is monitored to detect any significant amplification of the probe signal. The method can be applied either to the circuit itself or to a model run in parallel to the circuit. It is found that, in addition to providing a warning of impending instability, the perturbing signal increases the system stability margin