Design and Development of Adaptive Algorithm for Shunt Compensation in Grid Connected Distribution Systems

In recent times, AC grid-connected systems have been experiencing numerous power quality issues, particularly at the distribution level. The increased use of power converter-based machines in various applications, such as industries, homes, shops, offices, and traction, has led to a significant rise in non-linear loads that draw non sinusoidal currents. These non-linear loads have a detrimental impact on the power quality of the supply system. This study aims to address power quality concerns resulting from the growing adoption of renewable energy resources and non-linear loads in the distribution system. Various power quality problems associated with current-based issues are observed, including poor voltage regulation, low power factor, harmonic distortion, and unbalanced currents. To mitigate these issues and improve power quality, Distribution Static Compensators (DSTATCOMs) are increasingly being applied due to their cost benefits. DSTATCOMs, equipped with adaptive filtering techniques, are utilized as cost-effective Shunt Active Power Filters (SAPFs). These filters utilize the enhanced computational capabilities of modern computers to implement adaptive filters, which find applications in noise/echo cancellation, adaptive control, image restoration, and channel equalization. In conclusion, the power quality problems arising from the increased use of renewable energy resources and non-linear loads in the distribution system are a pressing concern. To address these issues, DSTATCOMs with adaptive filtering techniques have emerged as effective and economical solutions, serving as Shunt Active Power Filters. By leveraging the computational power of modern computers, adaptive filters offer noise cancellation and improved control capabilities, making them valuable tools for enhancing power quality in supply systems. This project presents a detail description of the STATCOM network and the design and modelling of the three leg VSC voltage source converter also it compares both the Algorithms presented in the project where on simulating both the Algorithms we find that the Adaptive LMS algorithm is much efficient and highly stable as well as settles smoothly over the output. While SRF theory Algorithms is efficient but it has more total harmonic distortion than that of the LMS algo.