MATLAB model on Intelligent Controlled Active Filter to Minimize Harmonics in Generated Voltage at Solar Grid with Variable Load

Abstract

In the realm of renewable energy integration, such as solar power grids, mitigating harmonic distortions in voltage is crucial for efficient and reliable operation. This paper proposes an intelligent controlled active filter framework designed to reduce harmonic distortions in a solar grid with variable loads. The active filter system utilizes advanced control algorithms to dynamically adjust its operation in response to varying load conditions and harmonic content in the grid voltage. Key components of the framework include real-time harmonic detection algorithms, which enable the active filter to accurately identify harmonic frequencies present in the grid voltage. Based on this information, a control strategy is employed to generate compensating currents that effectively cancel out these harmonics, ensuring that the voltage supplied to the grid remains within acceptable limits as per regulatory standards. Furthermore, the intelligent aspect of the framework involves adaptive control mechanisms that optimize filter performance under changing operating conditions, such as fluctuating solar generation and load variations. This adaptability not only enhances harmonic reduction capabilities but also contributes to overall grid stability and power quality improvement. The effectiveness of the proposed intelligent controlled active filter framework is validated through simulation studies and practical implementation in a solar grid environment. Results demonstrate significant reduction in harmonic distortions, thereby enhancing the reliability and efficiency of solar power integration while complying with stringent voltage quality standards.