Namal University

MR. FAIZAN AHMAD

Lab Engineer
  • Department of Electrical Engineering
  • 169
  • faizan.ahmad@namal.edu.pk
Summary

Mr. Faizan Ahmad received his B.Sc. and M.Sc. degrees in Electrical Engineering with specialization in Electronics and Fault Tolerant Control Systems from the National University of Computer and Emerging Sciences, Faisalabad, Pakistan. He has 03 years of teaching experience as a Lab Engineer at FAST NUCES, CFD Campus. His research interests include Electronics and Control systems. He is currently working as a Lab Engineer at Namal University, Mianwali, Pakistan.

Academic Background
Master of Science in Electrical Engineering ( Design of Advanced Fault-Tolerant Control System for Three-Phase Matrix Converter using Artificial Neural Networks ) FAST NUCES, CFD Campus 2023
Bachelor of Science in Electrical Engineering ( Wireless Controlled Automated Precise Color Making and Automatic Bottle Filling using PLC and HMI ) FAST NUCES, CFD Campus 2019
Experience
Lab Engineer Namal University Mianwali 26-Sep-2023 - continue
Lab Engineer FAST NUCES, CFD Campus 09-Jan-2020 - 20-Jan-2023
Journal Publications
Hybrid Multi-Criteria Decision Framework for Prosumers Energy Storage Systems in Smart Grids 11-Dec-2024 Modern power systems encompass multiple prosumers, smart grid technologies, and renewable energy resources (RERs). These prosumer-based smart grids are facing reliability issues that can be mitigated through the adoption of competitive storage technologies. A range of competitive storage technologies have been developed by scientists. However, the systematic selection of best storage technologies is still one of the main challenging research issues in the current literature. To fill this literature gap, this paper proposes a multi-criteria decision framework for energy storage selection in prosumer-based networks. First, a decision-making hierarchy was developed based on the three main criteria including energy flow management for prosumers, technical features, and sustainability. Under these criteria, various sub-criteria were identified. Second, multi-criteria decision making (MCDM) problem was solved for two cases using Analytic Hierarchy Process (AHP) and Preference Ranking Organization Method for Enrichment of Evaluations (PROMETHEE) methods separately. Third, a hybrid AHP and PROMETHEE method was proposed for the selection of an efficient storage system for prosumers based smart grid. Finally, a comprehensive outlook has been provided for prosumer energy storage evaluation. Findings revealed several implications for more accurate storage evaluation decision making. For instance, sensitivity analysis reveals that the lithium ion battery (LIB) has the first preference in AHP method, and the lead acid battery (LAB) has the first preference in PROMETHEE method. However, the second preference for AHP method was the LAB, and the second preference for PROMETHEE method was the LIB. Hence, separate application AHP and PROMETHEE offered a slightly different ranking. According to the proposed hybrid procedure, LIB was ranked as the first option by both AHP and PROMETHEE methods. As a result, the hybridization of AHP and PROMETHEE methods offered a more robust and unique solution to the storage selection problem as compared to the individual method. Storage evaluation decision making has several implications for prosumer-based power systems. In future, only a few storage alternatives would not meet the needs of the large scale emerging power systems, such as peer-to-peer networks. In this situation, the rapid and accurate ranking of various competitive storage alternatives would be a challenging problem. This study is valuable because it offers a comprehensive and flexible decision making tool for storage evaluation for prosumer-based smart grids. For instance, the proposed model can be evaluated with the addition or removal of criteria and storage alternatives under different situations.
Design of Advanced Fault-Tolerant Control System for Three-Phase Matrix Converter using Artificial Neural Networks 29-Sep-2023 The Matrix converters (MCs) are widely used in a large number of applications such as Aircraft, Submarines, and AC drives. In these applications, because of the many chances of occurrence of a critical fault that leads to a halt of the system, and due to the failure of power electric switches, the MC operations can be compromised and there is a fear of burning of the components caused by the whole system shutdown. Therefore, a Fault-Tolerant Control System (FTCS) is extremely necessary for the continued operations of the Three-Phase Matrix Converter (TPMC) to improve the reliability and productivity of the system under faulty conditions. In this paper, an advanced FTCS is proposed based on detection, and dual hardware redundancy for TPMC. Two types of faults are injected into the system to observe the performance of the proposed system: internal open circuit faults on switches and external short circuit faults at the load side. A Fault Detection and Isolation (FDI) unit is used to detect and isolate the faulty switches using Artificial Neural Networks (ANN), and dual hardware redundancy in the switches has been proposed for fault tolerance. In case of external fault, a load-side fault detector is implemented using ANN. The simulation results in MATLAB/Simulink environment show the accurate and stable working of TPMC under faulty conditions, and hardware-in-the-loop is implemented with STM32-Nucleo-F103RB board to verify open circuit fault results. The proposed dual redundant FTC with FDI unit offers an excellent solution for the continued performance of TPMC which ultimately enhances the reliability of the system.
A comprehensive review of fault diagnosis and fault-tolerant control techniques for modular multi-level converters 17-Aug-2022 This review emphasizes the types of faults in the MMCs and discusses the protection methods under failure conditions. The MMC is more popular in high-voltage applications because it not only improves the quality of the grid but also has good harmonic performance in high-power transmission. There is no need for any isolated DC sources to operate it. When faults are removed, the efficiency and reliability of the system will be increased. Many faults occur in the modular multi-level converters (MMCs), including unbalancing capacitor voltage, lower and upper arm unbalancing, line-to-line voltage unbalancing, sensors and actuators faults, system faults, and sub-modules faults in high as well as medium voltage applications. Several fault-tolerant approaches are presented to overcome these problems, such as active fault-tolerant control system (AFTCS), passive fault-tolerant control system (PFTCS), hybrid fault-tolerant control system (HFTCS), redundant system technique, special power circuit with the controller, and zero sequence voltage methods, which we will explain extensively in this article. This extensive explanation of the current literature on MMC fault diagnosis and control techniques will conclude which methods provide a more valuable solution. Finally, this paper discusses the best approach to reduce MMC faults and provides a future research direction to the readers.
Reliable speed control of a permanent magnet DC motor using fault-tolerant H-bridge 21-Oct-2020 Reliable, smooth, and fault free speed control of a Permanent Magnet (PM) DC motor using an H-bridge is an important need for many industrial applications such as robotics, automotive, and process industry to improve the overall efficiency and productivity. The reliability of the H-bridge depends on the semiconductor switches used. The faults in these components can lead to a complete failure of the system. This paper presents a dual redundancy-based fault-tolerant system with a Fault Detection and Isolation (FDI) unit that can detect, isolate, and replace the faulty switch with the standby to prevent the unwanted shutdown of the system and support the process continuity thereby increasing reliability. MATLAB/Simulink environment was used for simulation experiments and the results demonstrate the stable operation of the motor in the event of faults while maintaining its speed. The presented work establishes that the dual redundancy-based fault-tolerant H-bridge with the FDI unit is a highly reliable solution for the speed control of a DC motor.
Courses
  • Digital Signal Processing
  • Electric Machine
  • Communication Systems
  • Control Systems
  • Signal and Systems