Comparative Analysis of Various Types of Control Techniques for Wind Energy Conversion System

The interest towards renewable energy has been enhanced due to zero pollutant emission. Considering the present scenario, wind as a renewable source of energy is highly recommended. As it is freely available and free from pollution, wind can effectively play a role for energy generation. This can produce quality power during grid integrations as the load demands. Due to rapid variations in wind speed, wind energy systems need highly synchronized and powerful controller techniques for power regulations to overcome transients, voltage sags, and swells. A suitable and responsive controller is essential for power generation from wind energy. The controllers for wind energy system are categorized into five controller designs according to their locations to control the demand of the turbine system during grid integrations. In this chapter, various controller designs and implementations are highlighted with reference to previous works and existing studies.

Development of a Thermal Energy Harvesting Converter with Multiple Inputs and an Isolated Output

In this paper, an isolated multi-input single-output (MISO) converter is developed and applied to a thermoelectric energy conversion system to harvest thermal energy. The thermoelectric generators have individual maximum power point tracking functions. Furthermore, such a converter has a high step-up voltage conversion ratio. In addition, the presented converter is imposed on the thermoelectric energy conversion system with the three-point weighting strategy adopted to realize the maximum power point tracking (MPPT). In this paper, the basic principles of this converter are first described and analyzed, and finally some simulated and experimental results are offered to verify the feasibility and effectiveness of such a thermal energy harvesting system.

Model of wind energy system with reduced simulation time validated by classical equivalent model developed under Simulink

Models of a wind energy conversion chain using classical Simulink models of a diode bridge exhibit significant simulation time making difficult its combination with large scales optimization approaches. For this purpose and to increase the degree of compatibility of wind turbine models with large scales optimization approaches such as those based on Genetic Algorithms, a wind energy conversion system having an horizontal axis propeller, an axial generator with permanent magnets, recharging a battery energy accumulator through a diode rectifier is modeled by simplified method reducing simulation time. Indeed, a model of the three phase’s diode rectifier making the simulation time considerably reduced compared to the existing model in the Simulink library is developed. This model is validated by comparison with the model using the classic Simulink library. Another objective of this study is the formulation of the useful torque optimization problem having an essential constraint the reduction of the generator phase’s inductance in the goal to reduce the overvoltage in generator phases.