Real-Time Selective Harmonic Mitigation Technique for Power Converters Based on the Exchange Market Algorithm

Abstract

Hand-in-hand with the smart-grid paradigm development, power converters used in high-power applications are facing important challenges related to efficiency and power quality. To overcome these issues, the pre-programmed Pulse-Width Modulation (PWM) methods have been extensively applied to reduce the harmonic distortion with very low power switching losses for high-power converters. Among the pre-programmed PWM techniques, Selective Harmonic Elimination (SHE) has been the prevailing solution, but recently, Selective Harmonic Mitigation (SHM) stands as a superior alternative to provide further control of the harmonic spectrum with similar losses. However, the large computational burden required by the SHM method to find a solution confines it as an off-line application, where the switching set valid solutions are pre-computed and stored in a memory. In this paper, for the first time, a real-time implementation of SHM using an off-the-shelf mid-range microcontroller is presented and tested. The Exchange Market Algorithm (EMA), initially focused on optimizing financial transactions, is considered and executed to achieve the SHM targets. The performance of the EMA-based SHM is presented showing experimental results considering a reduced number of switching angles applied to a specific three-level converter, but the method can be extrapolated to any other three-level converter topology.

An Overview on Multi-Level Inverter Topologies for Grid-Tied PV System

“…Tis technique has signifcant control over the harmonics. Tis SHE technique is optimized by integrating with soft computing techniques [209], such as (i) Less device count and size (i) Circuit complexity High-voltage applications (ii) Low THD value (iii) Easy way of expansion (ii) High blocking voltage (iv) High-boosting ability (i) Genetic algorithm (GA) [177,[210][211][212] (ii) Newton-Raphson (NR) method [211][212][213] (iii) Particle swarm optimization (PSO) [211] (iv) Evolutionary programming (EP) [214] (v) Ant colony system (ACS) [215] (vi) Bee algorithm (BA) [212] (vii) Other methods [149,150] Tis SHE technique integration with soft computing techniques will enhance the performance of the technique as well as the harmonic profle [216,217]. Tis integration also provides enhanced switching control for improving the quality of the output waveform and THD value over the other modulation techniques [20,218].…”

Control over Grid Reactive Power by Using a Powerful Regenerative Controlled-Speed Synchronous Motor Drive

“…The relevant studies in the area have shown that the higher the m value, the lower the THD of the converter output voltage [19][20][21][22][23]. In practice, the m value close to 1 (if we describe a range from 0 to 4/π) is chosen while providing a margin for maintaining stable AFE and VSI operation in dynamic modes (a voltage drop in the DC link during shock application of the electric drive load) [24][25][26][27].…”

Harmonic Mitigation Using Meta-Heuristic Optimization for Shunt Adaptive Power Filters: A Review

“…The performance of this method is limited due to the use of the Maslin polynomial. The act of using the DE method to optimally minimize the fitness function and generate the control current to reduce the total harmonic distortion (THD) of the power supply, eliminating the error of the control loop compensating current and the saturation of the controlled loop within limits [68,69]. The PI-MR controller is based on the frequency domain to analyze the harmonic component generated in the power supply [70].…”

“…The current velocity is recalculated according to the newly calculated position and velocity. Then the distance is calculated from P best kd to G best kd using Formulas (69) and (70).…”