The Performance of a Grid-Connected Induction Motor During Unbalanced Voltage Sags and Harmonic Reduction Utilizing a Floating DC Link Converter based on the PSO Algorithm

In the present research, the particle swarm optimisation (PSO) algorithm is proposed as a basic modern algorithm approach for induction motors (IMs) with enhanced dynamic performance, unbalanced voltage sags and regulation of floating DC link converter that is maintained floating capacitors in charging and discharging states. The basic three-phase H-bridge converter has the ability to produce high-frequency harmonics in the converters for the purpose of compensating for voltage sag. Electromagnetic interference (EMI) could be occurred during switching. To satisfy regulatory standards, filters and other EMI mitigation techniques can be necessary. However, as a consequence of the floating capacitance voltage amplitude of the converter the conventional strategies of predictive torque control (PTC), direct torque control (DTC), model predictive control (MPC) and Artificial Bee Colony Optimization (ABC) algorithm result in a high torque ripple in the steady state and slow dynamics in the transient state. The present research proposes a three-leg, two-level IGBT with a floating capacitor. This difficulty is avoided by the proposed converter architecture with PSO algorithm and it further eliminates the need for extra energy storage products, transformers, power filters to lessen THD and ameliorate uneven voltage sags.