High Switched Reluctance Generator for PSO Optimized WECS

In order to implement switching reluctance generators (SRG) for wind energy conversion into the power distribution system (PDS), fundamental particle swarm optimization (PSO) is presented in this research. SRGs are an excellent alternative even if they are not frequently utilized in wind energy applications due to their high levels of resilience, efficacy and speed range. Controlling the electricity sent to the load is a never ending task. In order to keep the produced power as consistent as feasible given that the wind speed is changing, the voltage of excitation needs to be adjusted. In this section we offer a PSO method for enhancing a SRG efficiency in a distributed wind power system. The output power profile may be calculated by continuous simulations of generator model using a variety of control parameters due to Switched Reluctance Generator's extremely nonlinear characteristics. It is a multidimensional search space, therefore there are a lot of cycles. In order to shorten modelling duration and widen the search space, we have employed evolutionary methods. An elementary PSO approach is being developed to find the optimal firing angles and DC bus voltage levels under different operating conditions. With outstanding energy efficiency and minimal torque ripple, performance is guaranteed. Using this method, SRGs will operate at a slower speed than base speed in the currently under control area. The simulation results show that it is possible to achieve a level of performance that balances less torque ripple with improved economy.