Advanced Techniques for Harmonics Estimation and Control of DC DC Buck Boost Converter from Adaptive Power Controller Blocks to Machine Learning Integration

Abstract

The increasing worldwide expansion of nonlinear loads, mainly consisting of power electronics devices, has made power quality issues a critical concern of exceptional importance. newlineThe accurate and timely identification of power quality parameters is crucial for effectively managing and reducing these issues. Harmonics play an important role in deteriorating power quality in the supply system, making it difficult to estimate and control power quality problems. Therefore, this study conducts a thorough examination and classification of various newlinemethods used for estimating power system harmonics. These methods are categorized based on the type of analysis tools and applications they utilize. A variety of estimation techniques are explored and compared to provide valuable insights. To address these complexities, the newlineintroduction of filtered adaptive power controller blocks in Chapter 4 stands out. These blocks reduce the response time of the buck-boost converter while introducing appropriate frequency components at the output, thus enhancing control and operational efficiency. An innovative newlineapproach is also integrated into the buck-boost converter s performance improvement: the amalgamation of a reverse power routing model with an adaptive power controller (APC). newlineThis combination effectively estimates and manages excessive output power, ensuring optimal performance through dynamic adjustment of ON/OFF duty cycles, particularly in response to newlinefluctuating output power. In Chapter 5, the performance is taken to a higher level by utilizing machine learning techniques. These techniques include incorporating a Convolutional Neural Network (CNN) with a hybrid bio-inspired model. This model merges the Genetic Algorithm (GA) and particle swarm optimization (PSO). This novel combination optimally estimates crucial internal parameters for both buck and boost modes, effectively mitigating reverse cur- newlinerents, and resulting in highly optimal performance. Total harmonic distortion (THD) remains a significant challenge, especially