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Linear Flux Switching Machines (LFSMs) are suitable candidates for long stroke applications as they confines all excitation sources to primary thus leaving completely passive, robust, and low cost secondary. Permanent Magnet LFSMs (PMLFSMs) enables high thrust force density and efficiency. However, deficiency of controllable air-gap flux, risk of PM demagnetization, and increasing cost of rare earth PM materials diverted researchers towards Field Excited LFSMs (FELFSMs). FELFSMs wiped out aforementioned PMLFSM’s shortcomings at the cost of low thrust force density. In this paper, merits of PMLFSM and FELFSM are combined by proposing a novel Hybrid Excited LFSM (HELFSM). Proposed machine is excited by PMs, Field Excitation Coils (FECs), and Armature Windings (AWs). However, complex magnetic circuit of poly-excited HELFSM compels designers to adopt FE Analysis (FEA) for design, analysis, and optimization. To decrease dependency on computationally complex and time consuming FEA, an analytical model combining lumped parameter magnetic equivalent circuit, Fourier analysis, Laplace equation, and Maxwell Stress Tensor method is proposed to predict open-circuit flux linkage, B-EMF, normal and tangential components of no-load and on-load magnetic flux density, detent, and thrust force performance. Finally, predictions of the developed analytical model are validated with corresponding FEA and experimental results.
Noman Ullah; Faisal Khan; Abdul Basit; Wasiq Ullah; Imran Haseeb. Analytical Airgap Field Model and Experimental Validation of Double Sided Hybrid Excited Linear Flux Switching Machine. IEEE Access 2021, 9, 117120 -117131.
AMA StyleNoman Ullah, Faisal Khan, Abdul Basit, Wasiq Ullah, Imran Haseeb. Analytical Airgap Field Model and Experimental Validation of Double Sided Hybrid Excited Linear Flux Switching Machine. IEEE Access. 2021; 9 ():117120-117131.
Chicago/Turabian StyleNoman Ullah; Faisal Khan; Abdul Basit; Wasiq Ullah; Imran Haseeb. 2021. "Analytical Airgap Field Model and Experimental Validation of Double Sided Hybrid Excited Linear Flux Switching Machine." IEEE Access 9, no. : 117120-117131.
This paper presents a health analysis technique for transformer winding insulation through thermal monitoring and Fast Fourier Transform (FFT) power spectrum. A novel thermal model for the Kraft paper insulation of transformer is proposed by using the transformer’s top-oil and winding hot-spot temperature models. The relationship between the temperature rise of oil inside the transformer tank and the winding insulation degradation are considered by utilizing the data-sets and daily load cycles of a 10/13 MVA, 132/11 kV, 50 Hz, ONAF grid power transformer. The model based on IEEE Guide for loading mineral-oil-immersed transformers is developed in Simulink. The hotspot temperature rise from the thermal model is used as a reference to analyze the winding insulation degradation in the form of high frequency partial discharges (PDs) upon the output parameters of the transformer. Using data analysis techniques, a correlation is presented between the load cycles and the hot-spot temperature through which the health status of the transformer winding insulation is estimated. Moreover, the high frequency transients were detected using the Fast Fourier Transform (FFT) spectrum analyzer tool in MATLAB. The preliminary study shows that high frequency PDs are detected for the overheated and deteriorated state of the winding insulation. The results show that the proposed technique is feasible for the health analysis of power transformers and successfully predicted the deterioration of the transformer winding insulation.
Muhammad Aslam; Inzamam Ul Haq; Muhammad Saad Rehan; Faheem Ali; Abdul Basit; Muhammad Iftikhar Khan; Muhammad Naeem Arbab. Health Analysis of Transformer Winding Insulation Through Thermal Monitoring and Fast Fourier Transform (FFT) Power Spectrum. IEEE Access 2021, 9, 114207 -114217.
AMA StyleMuhammad Aslam, Inzamam Ul Haq, Muhammad Saad Rehan, Faheem Ali, Abdul Basit, Muhammad Iftikhar Khan, Muhammad Naeem Arbab. Health Analysis of Transformer Winding Insulation Through Thermal Monitoring and Fast Fourier Transform (FFT) Power Spectrum. IEEE Access. 2021; 9 ():114207-114217.
Chicago/Turabian StyleMuhammad Aslam; Inzamam Ul Haq; Muhammad Saad Rehan; Faheem Ali; Abdul Basit; Muhammad Iftikhar Khan; Muhammad Naeem Arbab. 2021. "Health Analysis of Transformer Winding Insulation Through Thermal Monitoring and Fast Fourier Transform (FFT) Power Spectrum." IEEE Access 9, no. : 114207-114217.
The prediction and determination of thermal response for the metallic parts is a very crucial step in the design of power transformers. This paper presents a comparative analysis of different thermal models for predicting the hotspot temperature and top oil temperature of power transformers. Also, a new thermal model is proposed for the monitoring of transformer operation which is capable of identifying the hotspot temperature and the top oil temperature by taking into account the ambient temperature and the load variation with respect to real time. The model is experimentally validated and compared with the actual field data. It is found that results obtained from the proposed model and the actual field data are in good agreement.
Muhammad Aslam; Inzamam Ul Haq; Muhammad Saad Rehan; Abdul Basit; Muhammad Arif; Muhammad Iftikhar Khan; Muhammad Sadiq; Muhammad Naeem Arbab. Dynamic Thermal Model for Power Transformers. IEEE Access 2021, 9, 71461 -71469.
AMA StyleMuhammad Aslam, Inzamam Ul Haq, Muhammad Saad Rehan, Abdul Basit, Muhammad Arif, Muhammad Iftikhar Khan, Muhammad Sadiq, Muhammad Naeem Arbab. Dynamic Thermal Model for Power Transformers. IEEE Access. 2021; 9 (99):71461-71469.
Chicago/Turabian StyleMuhammad Aslam; Inzamam Ul Haq; Muhammad Saad Rehan; Abdul Basit; Muhammad Arif; Muhammad Iftikhar Khan; Muhammad Sadiq; Muhammad Naeem Arbab. 2021. "Dynamic Thermal Model for Power Transformers." IEEE Access 9, no. 99: 71461-71469.
Automatic generation control (AGC) is primarily responsible for ensuring the smooth and efficient operation of an electric power system. The main goal of AGC is to keep the operating frequency under prescribed limits and maintain the interchange power at the intended level. Therefore, an AGC system must be supplemented with modern and intelligent control techniques to provide adequate power supply. This paper provides a comprehensive overview of various AGC models in diverse configurations of the power system. Initially, the history of power system AGC models is explored and the basic operation of AGC in a multi-area interconnected power system is presented. An in-depth analysis of various control methods used to mitigate the AGC issues is provided. Application of fast-acting energy storage devices, high voltage direct current (HVDC) interconnections, and flexible AC transmission systems (FACTS) devices in the AGC systems are investigated. Furthermore, AGC systems employed in different renewable energy generation systems are overviewed and are summarized in tabulated form. AGC techniques in different configurations of microgrid and smart grid are also presented in detail. A thorough overview of various AGC issues in a deregulated power system is provided by considering the different contract scenarios. Moreover, AGC systems with an additional objective of economic dispatch is investigated and an overview of worldwide AGC practices is provided. Finally, the paper concludes with an emphasis on the prospective study in the field of AGC.
Kaleem Ullah; Abdul Basit; Zahid Ullah; Sheraz Aslam; Herodotos Herodotou. Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview. Energies 2021, 14, 2376 .
AMA StyleKaleem Ullah, Abdul Basit, Zahid Ullah, Sheraz Aslam, Herodotos Herodotou. Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview. Energies. 2021; 14 (9):2376.
Chicago/Turabian StyleKaleem Ullah; Abdul Basit; Zahid Ullah; Sheraz Aslam; Herodotos Herodotou. 2021. "Automatic Generation Control Strategies in Conventional and Modern Power Systems: A Comprehensive Overview." Energies 14, no. 9: 2376.
Extension of the main grid to remote areas is economically not feasible. To electrify remote areas, one of the best choices is to install Renewable Energy Sources (RES) as a distributed generation (DG) and thus form a microgrid (MG) in islanded (Stand-alone) mode. In islanded mode, the MG has no support from the national grid. Thus, the overloading of islanded DC MG can collapse DC bus voltage and cause fluctuation in the load. Therefore, the power sharing and the interconnection among the microgrid (MG) cluster are necessary for reliable operation. Many methods for power sharing also aim at minimizing circulating currents which cannot be avoided when every MG feeds their load locally. Therefore, the proper power balancing among generation, loads, and in between MG cluster is challenging in islanded topology. This paper presents an intelligent controller for power sharing among PV-based MG clusters with load management of connected load during power deficiency. The priority is given to the local critical load of each MG. The second priority is given to the remaining load of the respective MG. The least priority is given to the loads connected to the neighboring MGs. The results show that the power continuation to the power-deficient load has been maintained when another MG has surplus power. The circulating current losses between the MG cluster has been fully avoided during no power sharing.
Abdul Wahid; Javed Iqbal; Affaq Qamar; Salman Ahmed; Abdul Basit; Haider Ali; Omar Aldossary. A Novel Power Scheduling Mechanism for Islanded DC Microgrid Cluster. Sustainability 2020, 12, 6918 .
AMA StyleAbdul Wahid, Javed Iqbal, Affaq Qamar, Salman Ahmed, Abdul Basit, Haider Ali, Omar Aldossary. A Novel Power Scheduling Mechanism for Islanded DC Microgrid Cluster. Sustainability. 2020; 12 (17):6918.
Chicago/Turabian StyleAbdul Wahid; Javed Iqbal; Affaq Qamar; Salman Ahmed; Abdul Basit; Haider Ali; Omar Aldossary. 2020. "A Novel Power Scheduling Mechanism for Islanded DC Microgrid Cluster." Sustainability 12, no. 17: 6918.
Microgrids based on renewable energy require energy storage systems to mitigate the power imbalances that arise due to variable and intermittent nature of renewable sources. Battery energy storage system (BESS) has been widely used to provide the necessary support. However, higher cost and limited life depending on number of charging and discharging cycles, restricts its application. The calendar life of the BESS can be improved by optimizing the control operation of the battery. This paper presents a control strategy for distributed BESS in a centrally controlled microgrid to enhance the calendar life of BESS. The proposed strategy controls the charging and discharging of individual batteries based on state of charge (SOC), state of health (SOH) and maximum capacity. The controller selects the BESS with better health and higher capacity for operation on priority resulting in better calendar life of the energy storage system. The simulations results for the test system indicates an overall improvement in calendar life of BESS by 57%.
Asfand Yar Ali; Abdul Basit; Tanvir Ahmad; Affaq Qamar; Javed Iqbal. Optimizing coordinated control of distributed energy storage system in microgrid to improve battery life. Computers & Electrical Engineering 2020, 86, 106741 .
AMA StyleAsfand Yar Ali, Abdul Basit, Tanvir Ahmad, Affaq Qamar, Javed Iqbal. Optimizing coordinated control of distributed energy storage system in microgrid to improve battery life. Computers & Electrical Engineering. 2020; 86 ():106741.
Chicago/Turabian StyleAsfand Yar Ali; Abdul Basit; Tanvir Ahmad; Affaq Qamar; Javed Iqbal. 2020. "Optimizing coordinated control of distributed energy storage system in microgrid to improve battery life." Computers & Electrical Engineering 86, no. : 106741.
In transformers, in addition to the primary and secondary coils, there are several other important components and accessories in which the insulating material is one of the most critical components of a transformer. Sufficient insulation between different active parts are necessary for safe operation. Adequate insulation, it is not only necessary to insulate the coils from each other, or from the core and tank, but also guarantees the safety of the transformer against accidental surges, but with the growth in size and complexity of power stations, transformer is facing insulation problems. The evaluation of the transformer overload capacities certainly leads to complex variables that affect the operating life of the power and distribution transformer. In this study, the long-life calculation is performed on the basis of two experiments, which are related to the insulation degradation of the mineral oil and cellulose paper such as by adding different types of nano-particles to the mineral oil to enhance the strength of oil, and by changing the loads under different operating conditions to control the deteriorating rate of the insulation to prevent the life of the transformer. The insulation breakdown strength is improved from 37 kV to 71 kV by mixing the semiconductor nanoparticles such as gadolinium-doped ceria (GDC) and cerium dioxide (CeO2) with mineral oil. Moreover, for cellulose paper, thermal degradation rate is kept below its limit by reducing the temperature when controlling the load.
Muhammad Aslam; Muhammad Naeem Arbab; Abdul Basit; Inzamam Ul Haq; Saim Saher; Adnan Daud Khan; Amir Naveed Khattak. Improved Insulation Durability to Improve Transformer Aging. International Journal of Emerging Electric Power Systems 2020, 21, 1 .
AMA StyleMuhammad Aslam, Muhammad Naeem Arbab, Abdul Basit, Inzamam Ul Haq, Saim Saher, Adnan Daud Khan, Amir Naveed Khattak. Improved Insulation Durability to Improve Transformer Aging. International Journal of Emerging Electric Power Systems. 2020; 21 (1):1.
Chicago/Turabian StyleMuhammad Aslam; Muhammad Naeem Arbab; Abdul Basit; Inzamam Ul Haq; Saim Saher; Adnan Daud Khan; Amir Naveed Khattak. 2020. "Improved Insulation Durability to Improve Transformer Aging." International Journal of Emerging Electric Power Systems 21, no. 1: 1.
The achievement of sustainable energy goals warrants keen interest in promoting efficient buildings and renewable energy resources. Prominent among the energy-efficient building technologies is geothermal energy, which has a significant margin for improving energy utilization related to Heat, Ventilation, and Air Conditioning (HVAC). However, the efficient extraction of geothermal energy for HVAC applications requires stringent control of geometric parameters, boundary conditions, and environmental conditions. In this study a new approach has been devised to optimize the open loop Earth to Air Heat Exchanger (EAHE) system using a statistical optimization technique i.e., Response Surface Method (RSM). The study was conducted in the soil and weather conditions of Peshawar city in Pakistan. Parametric analysis was conducted for the three influencing variables, i.e., the pipe length, diameter, and air velocity using the EAHE model. The soil model predicts temperature in the range 20–26 °C for Peshawar at a depth above 3 m. Response Surface method was used to optimize the pipe length, diameter, and air velocity of the EAHE system. Analysis of Variance (ANOVA) indicates that all the three factors are significant. The EAHE system can effectively reduce the temperature by 15–18 °C and compensate the cooling load of single room for the parameters in the ranges of 50–70 m for the length, 0.18–0.25 m for the diameter, and 5–7 ms−1 for the air velocity. A regression equation is developed to predict the cooling load for any input values of the three influencing variables according to the weather and soil conditions.
Maoz Maoz; Saddam Ali; Noor Muhammad; Ahmad Amin; Mohammad Sohaib; Abdul Basit; Tanvir Ahmad. Parametric Optimization of Earth to Air Heat Exchanger Using Response Surface Method. Sustainability 2019, 11, 3186 .
AMA StyleMaoz Maoz, Saddam Ali, Noor Muhammad, Ahmad Amin, Mohammad Sohaib, Abdul Basit, Tanvir Ahmad. Parametric Optimization of Earth to Air Heat Exchanger Using Response Surface Method. Sustainability. 2019; 11 (11):3186.
Chicago/Turabian StyleMaoz Maoz; Saddam Ali; Noor Muhammad; Ahmad Amin; Mohammad Sohaib; Abdul Basit; Tanvir Ahmad. 2019. "Parametric Optimization of Earth to Air Heat Exchanger Using Response Surface Method." Sustainability 11, no. 11: 3186.
Increasing large-scale integration of renewables in conventional power system has led to an increase in reserve power requirement owing to the forecasting error. Innovative operating strategies are required for maintaining balance between load and generation in real time, while keeping the reserve power requirement at its minimum. This research work proposes a control strategy for active power balance control without compromising power system security, emphasizing the integration of wind power and flexible load in automatic generation control. Simulations were performed in DIgSILENT for forecasting the modern Danish power system with bulk wind power integration. A high wind day of year 2020 was selected for analysis when wind power plants were contributing 76.7% of the total electricity production. Conventional power plants and power exchange with interconnected power systems utilize an hour-ahead power regulation schedule, while real-time series are used for wind power plants and load demand. Analysis showed that flexible load units along with wind power plants can actively help in reducing real-time power imbalances introduced due to large-scale integration of wind power, thus increasing power system reliability without enhancing the reserve power requirement from conventional power plants.
Abdul Basit; Tanvir Ahmad; Asfand Yar Ali; Kaleem Ullah; Gussan Mufti; Anca Daniela Hansen. Flexible Modern Power System: Real-Time Power Balancing through Load and Wind Power. Energies 2019, 12, 1710 .
AMA StyleAbdul Basit, Tanvir Ahmad, Asfand Yar Ali, Kaleem Ullah, Gussan Mufti, Anca Daniela Hansen. Flexible Modern Power System: Real-Time Power Balancing through Load and Wind Power. Energies. 2019; 12 (9):1710.
Chicago/Turabian StyleAbdul Basit; Tanvir Ahmad; Asfand Yar Ali; Kaleem Ullah; Gussan Mufti; Anca Daniela Hansen. 2019. "Flexible Modern Power System: Real-Time Power Balancing through Load and Wind Power." Energies 12, no. 9: 1710.
This paper presents, with a live field experiment, the potential of increasing wind farm power generation by optimally yawing upstream wind turbine for reducing wake effects as a part of the SmartEOLE project. Two 2MW turbines from the Le Sole de Moulin Vieux (SMV) wind farm are used for this purpose. The upstream turbine (SMV6) is operated with a yaw offset ( α ) in a range of − 12 ° to 8° for analysing the impact on the downstream turbine (SMV5). Simulations are performed with intelligent control strategies for estimating optimum α settings. Simulations show that optimal α can increase net production of the two turbines by more than 5%. The impact of α on SMV6 is quantified using the data obtained during the experiment. A comparison of the data obtained during the experiment is carried out with data obtained during normal operations in similar wind conditions. This comparison show that an optimum or near-optimum α increases net production by more than 5% in wake affected wind conditions, which is in confirmation with the simulated results.
Tanvir Ahmad; Abdul Basit; Muneeb Ahsan; Olivier Coupiac; Nicolas Girard; Behzad Kazemtabrizi; Peter C. Matthews. Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms. Energies 2019, 12, 1266 .
AMA StyleTanvir Ahmad, Abdul Basit, Muneeb Ahsan, Olivier Coupiac, Nicolas Girard, Behzad Kazemtabrizi, Peter C. Matthews. Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms. Energies. 2019; 12 (7):1266.
Chicago/Turabian StyleTanvir Ahmad; Abdul Basit; Muneeb Ahsan; Olivier Coupiac; Nicolas Girard; Behzad Kazemtabrizi; Peter C. Matthews. 2019. "Implementation and Analyses of Yaw Based Coordinated Control of Wind Farms." Energies 12, no. 7: 1266.
This paper presents the effectiveness of the interior search algorithm in economic power scheduling of a grid-tied DC microgrid with renewable generation (wind and photovoltaic) and battery energy storage. The study presents the modelling and simulation of various DC/DC converters for tracking maximum power from wind and photovoltaic sources and the bidirectional power flow of battery energy storage. The DC microgrid and its controllers were modelled and simulated in MATLAB/Simulink. The generating units were dispatched economically using the interior search algorithm with the objective to minimize the operating cost of the microgrid. The simulated results verify the effectiveness of the interior search algorithm as the daily cost of microgrid operation was reduced by 11.25%.
Kamil Khan; Ahmad Kamal; Abdul Basit; Tanvir Ahmad; Haider Ali; Anwar Ali. Economic Load Dispatch of a Grid-Tied DC Microgrid Using the Interior Search Algorithm. Energies 2019, 12, 634 .
AMA StyleKamil Khan, Ahmad Kamal, Abdul Basit, Tanvir Ahmad, Haider Ali, Anwar Ali. Economic Load Dispatch of a Grid-Tied DC Microgrid Using the Interior Search Algorithm. Energies. 2019; 12 (4):634.
Chicago/Turabian StyleKamil Khan; Ahmad Kamal; Abdul Basit; Tanvir Ahmad; Haider Ali; Anwar Ali. 2019. "Economic Load Dispatch of a Grid-Tied DC Microgrid Using the Interior Search Algorithm." Energies 12, no. 4: 634.
A practical wind farm controller for production maximisation based on coordinated control is presented. The farm controller emphasises computational efficiency without compromising accuracy. The controller combines particle swarm optimisation (PSO) with a turbulence intensity–based Jensen wake model (TI–JM) for exploiting the benefits of either curtailing upstream turbines using coefficient of power ( C P ) or deflecting wakes by applying yaw-offsets for maximising net farm production. Firstly, TI–JM is evaluated using convention control benchmarking WindPRO and real time SCADA data from three operating wind farms. Then the optimised strategies are evaluated using simulations based on TI–JM and PSO. The innovative control strategies can optimise a medium size wind farm, Lillgrund consisting of 48 wind turbines, requiring less than 50 s for a single simulation, increasing farm efficiency up to a maximum of 6% in full wake conditions.
Tanvir Ahmad; Abdul Basit; Juveria Anwar; Olivier Coupiac; Behzad Kazemtabrizi; Peter C. Matthews. Fast Processing Intelligent Wind Farm Controller for Production Maximisation. Energies 2019, 12, 544 .
AMA StyleTanvir Ahmad, Abdul Basit, Juveria Anwar, Olivier Coupiac, Behzad Kazemtabrizi, Peter C. Matthews. Fast Processing Intelligent Wind Farm Controller for Production Maximisation. Energies. 2019; 12 (3):544.
Chicago/Turabian StyleTanvir Ahmad; Abdul Basit; Juveria Anwar; Olivier Coupiac; Behzad Kazemtabrizi; Peter C. Matthews. 2019. "Fast Processing Intelligent Wind Farm Controller for Production Maximisation." Energies 12, no. 3: 544.
A practical wind farm controller for production maximisation based on coordinated control is presented. The farm controller emphasises computational efficiency without compromising accuracy. The controller combines Particle Swarm Optimisation (PSO) with a turbulence intensity based Jensen wake model (TI-JM) for exploiting the benefits of either curtailing upstream turbines using coefficient of power ($C_P$) or deflecting wakes by applying yaw-offsets for maximising net farm production. First, TI-JM is evaluated using convention control benchmarking WindPRO and real time SCADA data from three operating wind farms. Then the optimized strategies are evaluated using simulations based on TI-JM and PSO. The innovative control strategies can optimise a medium size wind farm, Lillgrund consisting of 48 wind turbines, requiring less than 50 seconds for a single simulation, increasing farm efficiency up to a maximum of 6% in full wake conditions.
Tanvir Ahmad; Abdul Basit; Samia Akhtar; Juveria Anwar; Olivier Coupiac; Behzad Kazemtabrizi; Peter C. Matthews. Fast Processing Intelligent Wind Farm Controller for Production Maximisation. 2019, 1 .
AMA StyleTanvir Ahmad, Abdul Basit, Samia Akhtar, Juveria Anwar, Olivier Coupiac, Behzad Kazemtabrizi, Peter C. Matthews. Fast Processing Intelligent Wind Farm Controller for Production Maximisation. . 2019; ():1.
Chicago/Turabian StyleTanvir Ahmad; Abdul Basit; Samia Akhtar; Juveria Anwar; Olivier Coupiac; Behzad Kazemtabrizi; Peter C. Matthews. 2019. "Fast Processing Intelligent Wind Farm Controller for Production Maximisation." , no. : 1.
Double sided linear flux switching permanent magnet machines (DSLFSPMMs) exhibit high thrust force density, high efficiency, low cost and robust double salient secondary (stator) structures. The aforementioned unique features make DSLFSPMM suitable for long stroke applications. However, distorted flux linkage waveforms and high detent forces can exaggerate thrust force ripples and reduce their applicability in many areas. In order to enhance thrust force performance, reduce thrust force ripple ratio and total harmonic distortion (THD) of no-load flux linkages, two structure-based advancements are introduced in this work, i.e., asynchronous mover slot and stator tooth displacement technique (AMSSTDT) and the addition of an active permanent magnet end slot (APMES). Furthermore, single variable geometric optimization (SVGO) is carried out by the finite element method (FEM).
Noman Ullah; Abdul Basit; Faisal Khan; Wasiq Ullah; Mohsin Shahzad; Atif Zahid. Enhancing Capabilities of Double Sided Linear Flux Switching Permanent Magnet Machines. Energies 2018, 11, 2781 .
AMA StyleNoman Ullah, Abdul Basit, Faisal Khan, Wasiq Ullah, Mohsin Shahzad, Atif Zahid. Enhancing Capabilities of Double Sided Linear Flux Switching Permanent Magnet Machines. Energies. 2018; 11 (10):2781.
Chicago/Turabian StyleNoman Ullah; Abdul Basit; Faisal Khan; Wasiq Ullah; Mohsin Shahzad; Atif Zahid. 2018. "Enhancing Capabilities of Double Sided Linear Flux Switching Permanent Magnet Machines." Energies 11, no. 10: 2781.
In this paper, we discuss voltage control method for buck converter operating in continuous conduction mode (CCM) using analog feedback system. The aim of this work is to control the output voltage of a buck converter during the variation in load current. This is obtained using analog feedback made with operational amplifier (Opamp). However, the same technique can be applied to other DC-DC converters (e.g boost, buck-boost, cuk converter, etc) in CCM mode, but for the purpose of analysis buck converter is chosen as an example.
Usman Rahat; Abdul Basit; Muhammad Salman. Voltage Control for DC-DC Converters. 2018, 1 .
AMA StyleUsman Rahat, Abdul Basit, Muhammad Salman. Voltage Control for DC-DC Converters. . 2018; ():1.
Chicago/Turabian StyleUsman Rahat; Abdul Basit; Muhammad Salman. 2018. "Voltage Control for DC-DC Converters." , no. : 1.
Magnetic saturation and complex stator structure of Switched Flux Permanent Magnet Machine (SFPMM) compels designers to adopt universally accepted numerical method of analysis i.e. Finite Element Analysis (FEA). FEA is not preferred for initial design due to its computational complexity and is time consuming process because of repeated iterations. This paper presents an accurate analytical approach for initial design of proposed twelve-stator-slot and ten-rotor-tooth (12/10) with trapezoidal slot structure SFPMM. Air-gap Magnetic Equivalent Circuit (MEC) models with Global Reluctance Network (GRN) methodology is utilized for calculation of open-circuit flux linkage. Fourier Analysis (FA) for cogging torque, and Maxwell Stress Tensor (MST) method for electromagnetic torque where radial and tangential components of the air-gap flux density are produced by the currents flowing in three phase armature winding. Analytical predictions are validated by FEA utilizing JMAG software and shows errors less than ~2% for open-circuit flux linkage, ~4.2% for cogging torque, and ~2% for average electromagnetic torque.
Noman Ullah; Faisal Khan; Wasiq Ullah; Abdul Basit; Muhammad Umair; Zeeshan Khattak. Analytical Modelling of Open-Circuit Flux Linkage, Cogging Torque and Electromagnetic Torque for Design of Switched Flux Permanent Magnet Machine. Journal of Magnetics 2018, 23, 253 -266.
AMA StyleNoman Ullah, Faisal Khan, Wasiq Ullah, Abdul Basit, Muhammad Umair, Zeeshan Khattak. Analytical Modelling of Open-Circuit Flux Linkage, Cogging Torque and Electromagnetic Torque for Design of Switched Flux Permanent Magnet Machine. Journal of Magnetics. 2018; 23 (2):253-266.
Chicago/Turabian StyleNoman Ullah; Faisal Khan; Wasiq Ullah; Abdul Basit; Muhammad Umair; Zeeshan Khattak. 2018. "Analytical Modelling of Open-Circuit Flux Linkage, Cogging Torque and Electromagnetic Torque for Design of Switched Flux Permanent Magnet Machine." Journal of Magnetics 23, no. 2: 253-266.
Highly wind power integrated power system requires continuous active power regulation to tackle the power imbalances resulting from the wind power forecast errors. The active power balance is maintained in real-time with the automatic generation control and also from the control room, where regulating power bids are activated manually. In this article, an algorithm is developed to simulate the activation of regulating power bids, as performed in the control room, during power imbalance between generation and load demand. In addition, the active power balance is also controlled through automatic generation control, where coordinated control strategy between combined heat and power plants and wind power plant enhances the secure power system operation. The developed algorithm emulating the control room response, to deal with real-time power imbalance, is applied and investigated on the future Danish power system model. The power system model takes the hour-ahead regulating power plan from power balancing model and the generation and power exchange capacities for the year 2020 into account. The real-time impact of power balancing in a highly wind power integrated power system is assessed and discussed by means of simulations for different possible scenarios.
Abdul Basit; Anca D. Hansen; Poul E. Sørensen; Georgios Giannopoulos. Real-time impact of power balancing on power system operation with large scale integration of wind power. Journal of Modern Power Systems and Clean Energy 2015, 5, 202 -210.
AMA StyleAbdul Basit, Anca D. Hansen, Poul E. Sørensen, Georgios Giannopoulos. Real-time impact of power balancing on power system operation with large scale integration of wind power. Journal of Modern Power Systems and Clean Energy. 2015; 5 (2):202-210.
Chicago/Turabian StyleAbdul Basit; Anca D. Hansen; Poul E. Sørensen; Georgios Giannopoulos. 2015. "Real-time impact of power balancing on power system operation with large scale integration of wind power." Journal of Modern Power Systems and Clean Energy 5, no. 2: 202-210.
Large-scale wind power penetration can affect the supply continuity in the power system. This is a matter of high priority to investigate, as more regulating reserves and specified control strategies for generation control are required in the future power system with even more high wind power penetration. This paper evaluates the impact of large-scale wind power integration on future power systems. An active power balance control methodology is used for compensating the power imbalances between the demand and the generation in real time, caused by wind power forecast errors. The methodology for the balance power control of future power systems with large-scale wind power integration is described and exemplified considering the generation and power exchange capacities in 2020 for Danish power system.
Abdul Basit; Anca Daniela Hansen; Müfit Altin; Poul Ejnar Sørensen; Mette Gamst. Compensating active power imbalances in power system with large-scale wind power penetration. Journal of Modern Power Systems and Clean Energy 2015, 4, 229 -237.
AMA StyleAbdul Basit, Anca Daniela Hansen, Müfit Altin, Poul Ejnar Sørensen, Mette Gamst. Compensating active power imbalances in power system with large-scale wind power penetration. Journal of Modern Power Systems and Clean Energy. 2015; 4 (2):229-237.
Chicago/Turabian StyleAbdul Basit; Anca Daniela Hansen; Müfit Altin; Poul Ejnar Sørensen; Mette Gamst. 2015. "Compensating active power imbalances in power system with large-scale wind power penetration." Journal of Modern Power Systems and Clean Energy 4, no. 2: 229-237.