Muhammad Majid Gulzar

ORCID: 0000-0002-1091-3087
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About
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Research Areas
  • Microgrid Control and Optimization
  • Frequency Control in Power Systems
  • Photovoltaic System Optimization Techniques
  • Advanced Battery Technologies Research
  • Power System Optimization and Stability
  • Smart Grid Energy Management
  • Wind Turbine Control Systems
  • Multilevel Inverters and Converters
  • Advanced DC-DC Converters
  • Distributed Control Multi-Agent Systems
  • Hybrid Renewable Energy Systems
  • Electric Vehicles and Infrastructure
  • Solar Radiation and Photovoltaics
  • Adaptive Control of Nonlinear Systems
  • Robotic Path Planning Algorithms
  • Advanced Control Systems Design
  • HVDC Systems and Fault Protection
  • Energy and Environment Impacts
  • Smart Grid Security and Resilience
  • Energy, Environment, and Transportation Policies
  • solar cell performance optimization
  • Iterative Learning Control Systems
  • Modular Robots and Swarm Intelligence
  • Robot Manipulation and Learning
  • Vehicle Dynamics and Control Systems

King Fahd University of Petroleum and Minerals
2022-2025

Dhahran Health Center
2024

University of Central Punjab
2016-2023

Centre for Renewable Energy and Power Systems
2023

Renewable Energy Systems (United States)
2023

Cloud Computing Center
2021

Smart Homes
2019

Ion Exchange (India)
2019

University of Science and Technology of China
2015-2016

The proposed work addresses the modeling, control, energy management and operation of hybrid grid connected system with wind-PV-Battery Energy Storage System (BESS) integrated Fuel Cell (FC) Electrolyzer. A PV-Wind-FC electrolyzer consisting BESS least number control loops converters has been proposed. presents a cost efficient solution for integrating PV into by eliminating converter. This includes design controllers grid-connected systems renewable distributed generator (Wind PV) as...

10.1109/access.2023.3252891 article EN cc-by-nc-nd IEEE Access 2023-01-01

Electrification of transport industry in China presents several new prospects to fulfil requirements, which are necessary encounter increasing issues energy security, air quality, and lower the dependence on fossil fuels. The Chinese government is paying significant attention EV market penetration consumer adoption through numerous demonstration programs/plans with attractive transportation policies. In this study, key factors included barriers policies comprehensively reviewed, can enhance...

10.1016/j.esr.2024.101471 article EN cc-by Energy Strategy Reviews 2024-06-29

The rapid utilization of electricity has forced the stability power system for continuous operation. Due to difference in demand and generation, frequency reference point changes that needs be restored its locus stable operation system. Therefore, a novel efficient control design is propounded counter phenomena load control. designing cascaded fractional model predictive controller coupled with fractional-order PID (CFMPC-FOPID) designed an response under disruption parameter variations....

10.1155/2023/5999997 article EN cc-by International Journal of Energy Research 2023-02-23

Abstract The challenge of controlling frequency becomes greater as the complexity a power network increases. stability system is highly dependent upon robustness controller. This paper presents automatic generation control (AGC) four-area interconnected along with integrated renewable energy sources PV and wind energy. designed model given increased penetration levels thermal-hydropower system. addition hydropower fourth type results in pole open loop being located at right half side s-plan....

10.1186/s41601-023-00286-x article EN cc-by Protection and Control of Modern Power Systems 2023-03-25

Abstract In order to maximize the electricity supply from clean energy sources, goal of smart power system is unite all renewable sources. The present study use three optimization techniques, artificial rabbits algorithm (ARO), grey wolf optimizer (GWO), and whale (WOA), reduce cost (COE) while improving reliability for rural areas. While using same control variables methods load profile, various hybrid configurations are explored. Photovoltaic, wind turbine, fuel cell, electrolyser systems...

10.1049/rpg2.12938 article EN cc-by IET Renewable Power Generation 2024-01-22

The advancement in technology has proceeded exceptionally that the stability of power system becomes a major challenge. mismatch generation and demand creates frequency perturbation need to be curbed under limits avoid breakdown. Owing this, paper focuses counter ever-increasing challenges much like load fault disruption causes deterioration A novel master-slave (MS) control design is formulated for hybrid interconnected which fractional-order-proportional-integral-derivative (FOPID)...

10.1049/rpg2.12553 article EN cc-by-nc-nd IET Renewable Power Generation 2022-07-24

The technology has proceeded so much that the power system should be substantial and explicit to give optimal results. Ever-increasing complexities of load disparity cause frequency fluctuations leading efficiency degradation system. In order a suitable real output, entails an extremely perceptive control technique. Consequently, advanced method, is, adaptive model predictive controller (AMPC), is suggested for (LFC) series which comprises photovoltaic (PV), wind, thermal power. method...

10.1155/2022/7894264 article EN cc-by International Transactions on Electrical Energy Systems 2022-04-18

A power system that comprises a photovoltaic (PV), wind energy (WES), and fuel cell (FC) with battery storage (BESS), is collectively called hybrid system. The research shows discrete-time modeling of fuzzy tuned fractional-order proportional derivative (F-FOPD <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">μ</sup> ) Controller for load frequency control (LFC) this Under varying conditions, the gains proportional-derivative will be...

10.1109/access.2023.3288991 article EN cc-by-nc-nd IEEE Access 2023-01-01

This paper introduces a novel genetic optimize multi-control adaptive fractional order PID (AFOPID) for Photovoltaic (PV) and Wind connected grid system. The proposed AFOPID controller is optimized by algorithm (GA) to initialize the parameters. renewable energy sources are mathematically modeled using multi control approach (MCA). In work, MCA involves maximum power point tracking (MPPT), dc link voltage, current quadrature axis modeling. Furthermore, functionalities performed through an of...

10.1002/2050-7038.12809 article EN International Transactions on Electrical Energy Systems 2021-02-03

The efficiency of renewable energy sources like PV and fuel cells is improving with advancements in technology. However, maximum power point (MPP) tracking remains the most important factor for a PV-based cell system to perform at its best. MPP mainly depends on irradiance temperature, while upon factors such as temperature cell, membrane water content, oxygen hydrogen partial pressure. With change any these factors, output changed, which highly undesirable real-life applications. Thus, an...

10.3390/su15053980 article EN Sustainability 2023-02-22

Abstract This article proposes a simple robust adaptive control architecture with minimum parameter estimation laws for trajectory tracking of quadrotor subjected to parametric variations and environmental disturbances. aims achieve highly accurate, robust, fast the in short time low computational cost. Firstly, model is divided into altitude, attitude, position subsystems which appropriate methods are designed without prior knowledge upper bound external A fractional-order sliding mode...

10.1007/s40430-024-05188-z article EN cc-by Journal of the Brazilian Society of Mechanical Sciences and Engineering 2024-10-02
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