Power systems
Hamid Reza Sezavar; Saeed Hasanzadeh
Abstract
Insulator pollution levels are critical for ensuring the operational stability and safety of power transmission systems. Traditional methods for detecting pollution are often invasive, inaccurate, and time-consuming. To address these issues, this study investigates the application of Artificial Intelligence ...
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Insulator pollution levels are critical for ensuring the operational stability and safety of power transmission systems. Traditional methods for detecting pollution are often invasive, inaccurate, and time-consuming. To address these issues, this study investigates the application of Artificial Intelligence (AI), specifically Gradient Boosting Machines (GBM), to classify insulator pollution levels based on Partial Discharge (PD) characteristics. We utilize a combination of time-domain and frequency-domain features extracted from PD signals to train a predictive model. The results indicate that the proposed model achieves a high classification accuracy, averaging between 92% and 95% across various contamination levels. Furthermore, the study analyzes the model's sensitivity to environmental factors, including humidity and Hydrophobicity Class (HC), revealing important insights that could influence classification performance. By employing this AI-driven approach, we aim to significantly enhance the efficiency of power grid maintenance, ultimately contributing to the long-term stability and reliability of transmission systems. The findings from this research underscore the potential of AI in revolutionizing pollution assessment methods and optimizing maintenance practices in power infrastructure.
Power systems
Seyed Fariborz Zarei; Saeed Hasanzadeh
Abstract
This paper presents a comprehensive approach to the design of Resolution Bandwidth (RBW) filters specifically for Electromagnetic Interference (EMI) applications. We propose a mathematical modeling method that accurately captures the characteristics of standard RBW filters, which are essential for precise ...
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This paper presents a comprehensive approach to the design of Resolution Bandwidth (RBW) filters specifically for Electromagnetic Interference (EMI) applications. We propose a mathematical modeling method that accurately captures the characteristics of standard RBW filters, which are essential for precise EMI noise measurements. The proposed approach utilizes paired complementary second-order filters with symmetrical cutoff frequencies to ensure compliance with CISPR-16 standards. The methodology underscores the importance of aligning theoretical models with real-world filter behavior, ensuring that the resulting models are both accurate and reliable. By establishing a robust framework for RBW filter design, the method enables optimized EMI system performance and the implementation of appropriate filtering solutions. Validation is carried out through simulations using a 150 kHz signal with a dynamically ramped amplitude increase, demonstrating high accuracy and strong performance under both transient and steady-state conditions. Despite the challenging test scenarios, the results confirm that the proposed filter model remains accurate and effective even under worst-case EMI conditions.
Industrial Electronics
Javad Rahmanifard; Saeed Hasanzadeh
Abstract
This paper presents an Enhanced Model-Free Sliding Mode Control (EMFSMC) method tailored for the speed loop of a 12-slot/19-pole yokeless and segmented armature axial flux-switching permanent magnet (12S/19P YASA-AFFSSPM) motor, focusing on robustness against parameter perturbations. Traditional control ...
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This paper presents an Enhanced Model-Free Sliding Mode Control (EMFSMC) method tailored for the speed loop of a 12-slot/19-pole yokeless and segmented armature axial flux-switching permanent magnet (12S/19P YASA-AFFSSPM) motor, focusing on robustness against parameter perturbations. Traditional control techniques, such as Proportional-Integral (PI) control and Model-Free Sliding Mode Control (MFSMC), have shown limitations in handling the motor's nonlinear behavior and susceptibility to disturbances. The proposed EMFSMC algorithm optimizes speed loop performance by establishing a hyperlocal model of the YASA-AFFSSPM motor, which accounts for parameter variations. An improved double-power combinatorial reaching law is developed to enhance convergence rates during the sliding surface approach phase, while an Extended Sliding Mode Disturbance Observer (ESMDO) provides real-time monitoring of unknown disturbances affecting speed control. Simulation results demonstrate that the EMFSMC significantly accelerates the speed response time to approximately 0.015 seconds with minimal overshoot, compared to 0.04 seconds and a 12.5% overshoot with the MFSMC. Additionally, under sudden load conditions, the EMFSMC controller exhibits a speed drop of only 4 rpm, recovering to stability in about 0.01 seconds, while the MFSMC controller experiences a 9 rpm drop with a recovery time of 0.03 seconds. These findings confirm that the EMFSMC enhances the speed response rate and robustness of the speed loop, outperforming traditional control methodologies across various operating conditions.
Industrial Electronics
Hossein Shojaeian; Saeed Hasanzadeh; Mojtaba Heydari
Abstract
AbstractThis paper proposes a novel high step-up converter suitable for distributed generation using renewable power sources. The proposed converter includes a dual switches structure, two voltage multiplier cells and a three-windings coupled inductor for achieving high voltage gain. The configuration ...
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AbstractThis paper proposes a novel high step-up converter suitable for distributed generation using renewable power sources. The proposed converter includes a dual switches structure, two voltage multiplier cells and a three-windings coupled inductor for achieving high voltage gain. The configuration of the proposed converter not only reduces the voltage and current stresses of the switches, but also restricts the input source current, which reduces transmission losses and increases the lifetime of the input source. In the proposed converter, the multiplier cells are charged during the switch-on and switch-off periods, which cause to enhance the voltage gain of the converter and improve its productivity. Another feature of the proposed converter is that the inductive leakage energy of the coupled inductor is recycled through a passive clamping circuit which, in turn, has a considerable impact on system efficiency. A comparison is conducted between the performance of the proposed converter and the counterpart converters to demonstrate the proposed converter’s superiority in terms of voltage gain, voltage stress across the switches and diodes and number of components. Theoretical analysis and simulation results are provided to demonstrate the authenticity of the proposed converter.
