BITS Faculty Publications

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Author: search.filters.author.Mathur, Hitesh DattSubject: search.filters.subject.Shunt APF

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    A novel particle swarm optimization based plant-in-loop tuning method for PI controller of integrated power converters
    (IEEE, 2025-04) Yadav, Sisir Kumar; Patel, Ashish; Mathur, Hitesh Datt
    Integrated Power Converters such as Shunt Active Power Filters (APFs), when integrated with renewable sources like solar PV, offer a more capable and cost-effective solution for both their core function and for feeding the renewable power to the grid. Shunt APF is generally integrated with PV arrays on the common DC link to compensate for power quality issues and feed solar PV power simultaneously. However, the regulation of the DC link, which is the foundation of the operation of such converters, can be more challenging due to the inclusion of PV intermittency. So, the PI controller, mostly used for DC link regulation, should be tuned optimally considering the variable operating conditions. Most tuning methods, whether offline or online, rely on mathematical modeling of the converter and are affected by inherent inaccuracies. Therefore, this work proposes an in-plant PI tuning method for shunt APF, which doesn’t require mathematical modeling and can be implemented in realtime within the actual plant and operating conditions therein. The method tunes the PI controller without having to relax the limits on its output, which are required for the safety of the hardware. The proposed method has been validated using realtime simulation and hardware setup of the PV-integrated shunt APF, and, in both cases, the method shows superior performance in regulating the DC link voltage of the integrated converter system under various operating conditions.
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    PSO-Based Online PI Tuning of UPQC-DG in Real-Time
    (IEEE, 2024-08) Patel, Ashish; Mathur, Hitesh Datt; Yadav, Sisir Kumar
    Power quality is critical in ensuring the efficient operation of electrical systems, and Unified Power Quality Conditioners with Distributed Generation (UPQC-DG) systems play a vital role in mitigating power quality issues such as voltage sags, swells, harmonics, and flicker. Proportional-integral (PI) control UPQC-DG systems are crucial for maintaining power quality by stabilizing the DC link voltage, which is also essential for the seamless integration of distributed generation into the power grid. Effective PI control ensures minimal voltage fluctuations and rapid response to disturbances, thereby enhancing overall system reliability and efficiency. However, traditional PI tuning methods, like the Ziegler-Nichols (ZN) approach, often fail to provide optimal performance under dynamic conditions in such complex converters. To address these limitations, this paper presents an innovative approach for real-time tuning of PI controllers in UPQC-DG systems using Particle Swarm Optimization (PSO). The primary objective is to dynamically optimize the PI controller parameters to enhance the stability and performance of the DC link voltage under varying operational conditions. The proposed method was validated in a real-time simulation environment using the OPAL-RT 4512 platform. The results demonstrate the PSO-based method's superior ability to reduce steady-state errors and enhance dynamic response as well. This study underscores the potential of PSO for real-time adaptive control, providing a robust solution for maintaining high power quality in UPQC-DG systems and improving the stability and reliability of distributed generation systems.