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Mr. Zahid Ullah
UMT Lahore

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0 Smart Grid
0 Wind Energy
0 Wind and price forecasting
0 Renewable & Clean Energy Resources
0 Block chain technology

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Original article
Published: 28 May 2021 in Journal of Electrical Engineering & Technology
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Liquid insulation media is used for insulation and cooling purpose inside the transformer. Currently, transformers are using petroleum based mineral oil, which poses a serious hazardous environmental impact, since the mineral oil is non-renewable and non-biodegradable. Although, the increased cost and depleting nature of mineral oil cause an emergent need to use suitable alternatives to mineral oils that are biodegradable and environmentally friendly. In response to this resource issue, various vegetable oils, namely Sunflower oil, Soya bean oil, and a blend of Sunflower and Olive (BSO) oil are suitable alternatives for transformer insulation in high voltage systems. The afore-mentioned vegetable oils are subjected to multi-aging and comparative analysis is performed with mineral oil. Further, the dielectric and thermal properties of vegetable oils are tested before and after aging. Fourier Transform Infrared spectroscopy, water content, breakdown voltage, viscosity, flash point, tan delta, and pour point tests are performed on vegetable oils before and after aging. Finally, a comparative analysis of vegetable oils with mineral oil is provided to prove the efficacy of the proposed vegetable oils. The BSO oil resulted in higher breakdown strength and good thermal behavior when subjected to the abovementioned various diagnostic measurement tests in comparison to other oils.

ACS Style

Irfanullah Khan; Muhammad Ahtasham Abid; Kaleem Ullah; Zahid Ullah; Aun Haider; Farhan Ammar Ahmad; Zain Zia; Sahibzada Muhammad Ali. Multi-aging Effects on Vegetable Based Oils for Transformer Insulation in HV Systems. Journal of Electrical Engineering & Technology 2021, 1 -12.

AMA Style

Irfanullah Khan, Muhammad Ahtasham Abid, Kaleem Ullah, Zahid Ullah, Aun Haider, Farhan Ammar Ahmad, Zain Zia, Sahibzada Muhammad Ali. Multi-aging Effects on Vegetable Based Oils for Transformer Insulation in HV Systems. Journal of Electrical Engineering & Technology. 2021; ():1-12.

Chicago/Turabian Style

Irfanullah Khan; Muhammad Ahtasham Abid; Kaleem Ullah; Zahid Ullah; Aun Haider; Farhan Ammar Ahmad; Zain Zia; Sahibzada Muhammad Ali. 2021. "Multi-aging Effects on Vegetable Based Oils for Transformer Insulation in HV Systems." Journal of Electrical Engineering & Technology , no. : 1-12.

Journal article
Published: 29 April 2021 in Sensors
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A central authority, in a conventional centralized energy trading market, superintends energy and financial transactions. The central authority manages and controls transparent energy trading between producer and consumer, imposes a penalty in case of contract violation, and disburses numerous rewards. However, the management and control through the third party pose a significant threat to the security and privacy of consumers’/producers’ (participants) profiles. The energy transactions between participants involving central authority utilize users’ time, money, and impose a computational burden over the central controlling authority. The Blockchain-based decentralized energy transaction concept, bypassing the central authority, is proposed in Smart Grid (SG) by researchers. Blockchain technology braces the concept of Peer-to-Peer (P2P) energy transactions. This work encompasses the SolarCoin-based digital currency blockchain model for SG incorporating RE. Energy transactions from Prosumer (P) to Prosumer, Energy District to Energy District, and Energy District to SG are thoroughly investigated and analyzed in this work. A robust demand-side optimized model is proposed using Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to maximize Prosumer Energy Surplus (PES), Grid revenue (GR), percentage energy transactions accomplished, and decreased Prosumer Energy Cost (PEC). Real-time averaged energy data of Australia are employed, and a piece-wise energy price mechanism is implemented in this work. The graphical analysis and tabular statistics manifest the efficacy of the proposed model.

ACS Style

Sana Rehman; Bilal Khan; Jawad Arif; Zahid Ullah; Abdullah Aljuhani; Ahmad Alhindi; Sahibzada Ali. Bi-Directional Mutual Energy Trade between Smart Grid and Energy Districts Using Renewable Energy Credits. Sensors 2021, 21, 3088 .

AMA Style

Sana Rehman, Bilal Khan, Jawad Arif, Zahid Ullah, Abdullah Aljuhani, Ahmad Alhindi, Sahibzada Ali. Bi-Directional Mutual Energy Trade between Smart Grid and Energy Districts Using Renewable Energy Credits. Sensors. 2021; 21 (9):3088.

Chicago/Turabian Style

Sana Rehman; Bilal Khan; Jawad Arif; Zahid Ullah; Abdullah Aljuhani; Ahmad Alhindi; Sahibzada Ali. 2021. "Bi-Directional Mutual Energy Trade between Smart Grid and Energy Districts Using Renewable Energy Credits." Sensors 21, no. 9: 3088.

Review
Published: 22 April 2021 in Energies
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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.

ACS Style

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 Style

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 (9):2376.

Chicago/Turabian Style

Kaleem 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.

Journal article
Published: 09 October 2020 in IEEE Access
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The combination of renewable energy sources and prosumer-based smart grid is a sustainable solution to cater to the problem of energy demand management. A pressing need is to develop an efficient Energy Management Model (EMM) that integrates renewable energy sources with smart grids. However, the variable scenarios and constraints make this a complex problem. Machine Learning (ML) methods can often model complex and non-linear data better than the statistical models. Therefore, developing an ML algorithm for the EMM is a suitable option as it reduces the complexity of the EMM by developing a single trained model to predict the performance parameters of EMM for multiple scenarios. However, understanding latent correlations and developing trust in highly complex ML models for designing EMM within the stochastic prosumer-based smart grid is still a challenging task. Therefore, this paper integrates ML and Gaussian Process Regression (GPR) in the EMM. At the first stage, an optimization model for Prosumer Energy Surplus (PES), Prosumer Energy Cost (PEC), and Grid Revenue (GR) is formulated to calculate base performance parameters (PES, PEC, and GR) for the training of the ML-based GPR model. In the second stage, stochasticity of renewable energy sources, load, and energy price, same as provided by the Genetic Algorithm (GA) based optimization model for PES, PEC, and GR, and base performance parameters act as input covariates to produce a GPR model that predicts PES, PEC, and GR. Seasonal variations of PES, PEC, and GR are incorporated to remove hitches from seasonal dynamics of prosumers energy generation and prosumers energy consumption. The proposed adaptive Service Level Agreement (SLA) between energy prosumers and the grid benefits both these entities. The results of the proposed model are rigorously compared with conventional optimization (GA and PSO) based EMM to prove the validity of the proposed model.

ACS Style

Waqar Ahmed; Hammad Ansari; Bilal Khan; Zahid Ullah; Sahibzada Muhammad Ali; Chaudhry Arshad Arshad Mehmood; Muhammad B. Qureshi; Iqrar Hussain; Muhammad Jawad; Muhammad Usman Shahid Khan; Amjad Ullah; Raheel Nawaz. Machine Learning Based Energy Management Model for Smart Grid and Renewable Energy Districts. IEEE Access 2020, 8, 185059 -185078.

AMA Style

Waqar Ahmed, Hammad Ansari, Bilal Khan, Zahid Ullah, Sahibzada Muhammad Ali, Chaudhry Arshad Arshad Mehmood, Muhammad B. Qureshi, Iqrar Hussain, Muhammad Jawad, Muhammad Usman Shahid Khan, Amjad Ullah, Raheel Nawaz. Machine Learning Based Energy Management Model for Smart Grid and Renewable Energy Districts. IEEE Access. 2020; 8 (99):185059-185078.

Chicago/Turabian Style

Waqar Ahmed; Hammad Ansari; Bilal Khan; Zahid Ullah; Sahibzada Muhammad Ali; Chaudhry Arshad Arshad Mehmood; Muhammad B. Qureshi; Iqrar Hussain; Muhammad Jawad; Muhammad Usman Shahid Khan; Amjad Ullah; Raheel Nawaz. 2020. "Machine Learning Based Energy Management Model for Smart Grid and Renewable Energy Districts." IEEE Access 8, no. 99: 185059-185078.

Journal article
Published: 14 September 2020 in IEEE Access
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In Pakistan, the performance of conventional electrical grids is inefficient, resulting in severe energy crises. To overcome the alarming challenges persisting in the energy grids, Pakistan must focus on system protection, grid reliability, distribution and transmission, and power quality. The inefficiencies in grid protection and management signify an overall problematic energy scenario. The solutions to these problems include the improvement of domestic, commercial, and industrial demand-side management and the reduction in distribution network losses. A smart grid (SG) is a critical requirement as it can overcome the shortcomings of the existing grid owing to its promising features, enhanced consumer empowerment, utmost security; efficient and optimized energy flow; and demand-supply management. Thus, the SG is essential to overcome the energy crisis in Pakistan and achieve the standards of other developed nations in the energy sector. This study aims to highlight the significant prospects of SGs within Pakistan with the key objectives of its availability requirements. We compare the energy scenario in Pakistan with that of other countries and recommend various aspects that require improvement through SG implementation. Additionally, we discuss the incorporation of renewable energy resources and present a market analysis regarding SGs to illustrate the SG scenario and its implementation in Pakistan. Moreover, we analyze and evaluate detailed taxonomies of energy generation, energy projects, renewable energy assessment, power market trends in Pakistan, and the basic requirements of SGs. Furthermore, a critical analysis of the energy sector in Pakistan is elaborated, which describes the possibilities, requirements, and strengths pertaining to the transformation of the modern electric grid with respect to the China–Pakistan Economic Corridor. Thus, we believe that our work is more versatile in improving the energy system of Pakistan for the implementation of the SG.

ACS Style

Khalid Salman Khan; Sahibzada Muhammad Ali; Zahid Ullah; Irfan Sami; Bilal Khan; Chaudhry Arshad Mehmood; Umar Farid; Jawad Saleem; Jong-Suk Ro. Statistical Energy Information and Analysis of Pakistan Economic Corridor Based on Strengths, Availabilities, and Future Roadmap. IEEE Access 2020, 8, 169701 -169739.

AMA Style

Khalid Salman Khan, Sahibzada Muhammad Ali, Zahid Ullah, Irfan Sami, Bilal Khan, Chaudhry Arshad Mehmood, Umar Farid, Jawad Saleem, Jong-Suk Ro. Statistical Energy Information and Analysis of Pakistan Economic Corridor Based on Strengths, Availabilities, and Future Roadmap. IEEE Access. 2020; 8 (99):169701-169739.

Chicago/Turabian Style

Khalid Salman Khan; Sahibzada Muhammad Ali; Zahid Ullah; Irfan Sami; Bilal Khan; Chaudhry Arshad Mehmood; Umar Farid; Jawad Saleem; Jong-Suk Ro. 2020. "Statistical Energy Information and Analysis of Pakistan Economic Corridor Based on Strengths, Availabilities, and Future Roadmap." IEEE Access 8, no. 99: 169701-169739.

Review article
Published: 06 August 2020 in Journal of Cleaner Production
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Large-scale EVs acceptance would certainly lead to relieving major issues, including carbon pollution, petroleum dependence, and economic prosperity. However, Pakistan confronting a range of cross-sectoral and multifarious impediments has recently decided to switch from ICEs to EVs with a variety of policy options for auto manufacturers, customers, and worldwide stakeholders. This paper gives a detailed overview of ongoing EVs maturation and addresses some of the main adaptation challenges and opportunities in Pakistan. The review shows that state financial subsidies, market prices, technical malignancy, and social drawbacks are some of the most significant obstacles for EVs to join the current market. Hence, recommendations are stipulated in compliance with the corresponding obstacles to encourage the competence and expansion of the EVs industry which will contribute to more secure futures. On the other hand, Pakistan's transition to EVs offers some exciting milestones, there is a need to adopt a proactive and effective strategy to track the positive aspects of fast progress and optimize its benefits.

ACS Style

Rafiq Asghar; Faisal Rehman; Zahid Ullah; Affaq Qamar; Kaleem Ullah; Kashif Iqbal; Ali Aman; Agha Ali Nawaz. Electric vehicles and key adaptation challenges and prospects in Pakistan: A comprehensive review. Journal of Cleaner Production 2020, 278, 123375 .

AMA Style

Rafiq Asghar, Faisal Rehman, Zahid Ullah, Affaq Qamar, Kaleem Ullah, Kashif Iqbal, Ali Aman, Agha Ali Nawaz. Electric vehicles and key adaptation challenges and prospects in Pakistan: A comprehensive review. Journal of Cleaner Production. 2020; 278 ():123375.

Chicago/Turabian Style

Rafiq Asghar; Faisal Rehman; Zahid Ullah; Affaq Qamar; Kaleem Ullah; Kashif Iqbal; Ali Aman; Agha Ali Nawaz. 2020. "Electric vehicles and key adaptation challenges and prospects in Pakistan: A comprehensive review." Journal of Cleaner Production 278, no. : 123375.

Conference paper
Published: 01 June 2020 in 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)
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The recent trend of renewable energy resources penetration into the electricity supply mix has put forward more requirements on the power grid for the quality of supply. Integration of distributed generation units into the power grid has increased planning and operational challenges. Considering the above, capacity planning, grid operations, and demand-side management need to be addressed for beneficial integration. This paper presents a detailed study on renewable energy resources (RERs) integration within smart grid (SG). We present the advantages, complexities, issues, and promising solutions for deploying renewables in the SG environment. Our work also analyzes the efficient integration of RERs in an electricity market with enhanced generation capacity, improved power quality, and increased reliability. This paper also reviewed the issues pertaining to the integration of renewables into SG. In addition, a detailed model of SG with integrated renewables is also presented. Moreover, this work provides a perspective view of SG in terms of evolution, economic growth, and barriers to its implementation. Furthermore, technical issues and challenges pertaining to the penetration of RERs within SG are also discussed.

ACS Style

Zahid Ullah; Rafiq Asghar; Irfanullah Khan; Kaleem Ullah; Athar Waseem; Fazale Wahab; Aun Haider; Sahibzada Muhammad Ali; Khadim Ullah Jan. Renewable Energy Resources Penetration within Smart Grid: An Overview. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) 2020, 1 -6.

AMA Style

Zahid Ullah, Rafiq Asghar, Irfanullah Khan, Kaleem Ullah, Athar Waseem, Fazale Wahab, Aun Haider, Sahibzada Muhammad Ali, Khadim Ullah Jan. Renewable Energy Resources Penetration within Smart Grid: An Overview. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). 2020; ():1-6.

Chicago/Turabian Style

Zahid Ullah; Rafiq Asghar; Irfanullah Khan; Kaleem Ullah; Athar Waseem; Fazale Wahab; Aun Haider; Sahibzada Muhammad Ali; Khadim Ullah Jan. 2020. "Renewable Energy Resources Penetration within Smart Grid: An Overview." 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) , no. : 1-6.

Conference paper
Published: 01 June 2020 in 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)
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Grid extension and construction of additional power plants based on conventional fuels are becoming a challenge to meet ramping-up load demand. This becomes more pressing especially in cost and time constraints. In order to alleviate these issues and bridge the gap of demand with supply, demand-side management (DSM) in the smart grid (SG) is considered as an effective solution. In this paper, DSM is performed through residential load-scheduling with the help of an energy management controller (EMC). The EMC introduced for residential load-scheduling is based on heuristic algorithms like; binary particle swarm optimization (BPSO), genetic algorithm (GA), and hybrid genetic BPSO (HGBPSO). The proposed heuristic-based EMC performs DSM by scheduling residential load under day-ahead price-based demand response (DR) program. The proposed scheme optimally performs DSM and results in an acceptable reduction of electricity cost, peak to average ratio (PAR), CO 2 emission, and user-discomfort all at once. Simulation results validate that HGBPSO-based EMC outperforms BPSO and GA-based EMC in the matter of management. The proposed scheme is highly suitable for real-life management of residential service in SG.

ACS Style

Abdullah Nawaz; Ghulam Hafeez; Imran Khan; Muhammad Usman; Khadim Ullah Jan; Zahid Ullah; Demba Diallo. Demand-side Management of Residential Service Area Under Price-based Demand Response Program in Smart Grid. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) 2020, 1 -6.

AMA Style

Abdullah Nawaz, Ghulam Hafeez, Imran Khan, Muhammad Usman, Khadim Ullah Jan, Zahid Ullah, Demba Diallo. Demand-side Management of Residential Service Area Under Price-based Demand Response Program in Smart Grid. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). 2020; ():1-6.

Chicago/Turabian Style

Abdullah Nawaz; Ghulam Hafeez; Imran Khan; Muhammad Usman; Khadim Ullah Jan; Zahid Ullah; Demba Diallo. 2020. "Demand-side Management of Residential Service Area Under Price-based Demand Response Program in Smart Grid." 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) , no. : 1-6.

Conference paper
Published: 01 June 2020 in 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)
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Demand side management (DSM) is a promising domain for utility managers and policymakers to curtail consumers load within smart grid (SG). Due to demand-supply mismanagement, various problems arise, such as (a) voltage drift (b) current variation, (c) active and reactive-power mismatch, (d) reduced consumer empowerment and consumer satisfaction, and (e) low economic development of utility in the wholesale market. Considering above, there is a pressing need to emphasize DSM for an optimized operation of SG system. With this motivation, we reviewed demand response programs (DRPs) and load forecasting schemes (LFSs) as primary operational entities for efficient operation of SG. Moreover, we investigated the role of various DRPs for peak-shaving of consumer's load profile. Furthermore, the vital role of LFSs in economic development stabilized the operation of SG system, and inter-relationship to DRPS is reviewed. Finally, a case study is presented describing computer-based simulation study of DRPs and LFSs utilizing real-time data of Texas (USA).

ACS Style

Kaleem Ullah; Zahid Ullah; Irfanullah Khan; Fazale Wahab; Waqar Uddin; Athar Waseem; Aun Haider; Ghulam Hafeez; Sahibzada Muhammad Ali; Khadim Ullah Jan. Load Forecasting Schemes and Demand Response Programs within Smart Grid. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) 2020, 1 -6.

AMA Style

Kaleem Ullah, Zahid Ullah, Irfanullah Khan, Fazale Wahab, Waqar Uddin, Athar Waseem, Aun Haider, Ghulam Hafeez, Sahibzada Muhammad Ali, Khadim Ullah Jan. Load Forecasting Schemes and Demand Response Programs within Smart Grid. 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). 2020; ():1-6.

Chicago/Turabian Style

Kaleem Ullah; Zahid Ullah; Irfanullah Khan; Fazale Wahab; Waqar Uddin; Athar Waseem; Aun Haider; Ghulam Hafeez; Sahibzada Muhammad Ali; Khadim Ullah Jan. 2020. "Load Forecasting Schemes and Demand Response Programs within Smart Grid." 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) , no. : 1-6.

Research article
Published: 07 May 2020 in IET Renewable Power Generation
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The sudden voltage drop may upsurge the current level and trigger the self-protective system to disconnect the wind turbines that are detrimental for grid constancy. A novel structure of a modified switch type fault current limiter (M-STFCL) is proposed that protects the doubly-fed induction generator wind turbine (DFIG-WT) during the symmetrical and asymmetrical grid faults. The M-STFCL is cost-effective and requires little maintenance during operation. The proposed system maintains the rotor current and DC-link voltage below the maximum acceptable limits, thus, fortify the back-back converters. The M-STFCL is tested with both the sliding-mode control (SMC) and proportional–integral (PI) controller and their results are compared. From the simulation results, it is obvious that SMC has edged over the PI controller and demonstrated superior control over the critical parameters. The performance of M-STFCL is also compared with the conventional switch type fault current limiter and the analytical results clearly validate the significance of the proposed system.

ACS Style

Rafiq Asghar; Faisal Rehman; Zahid Ullah; Ali Aman; Kashif Iqbal; Agha Ali Nawaz. Modified switch type fault current limiter for low‐voltage ride‐through enhancement and reactive power support of DFIG‐WT under grid faults. IET Renewable Power Generation 2020, 14, 1481 -1490.

AMA Style

Rafiq Asghar, Faisal Rehman, Zahid Ullah, Ali Aman, Kashif Iqbal, Agha Ali Nawaz. Modified switch type fault current limiter for low‐voltage ride‐through enhancement and reactive power support of DFIG‐WT under grid faults. IET Renewable Power Generation. 2020; 14 (9):1481-1490.

Chicago/Turabian Style

Rafiq Asghar; Faisal Rehman; Zahid Ullah; Ali Aman; Kashif Iqbal; Agha Ali Nawaz. 2020. "Modified switch type fault current limiter for low‐voltage ride‐through enhancement and reactive power support of DFIG‐WT under grid faults." IET Renewable Power Generation 14, no. 9: 1481-1490.

Conference paper
Published: 01 January 2020 in 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
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Modular Multilevel Converter (MMC) is very popular due to its flexibility, use of low rating devices, low harmonic distortion, and high efficiency. Despite these advantages, MMC faces challenges of controlling its parameters especially inner current and capacitor voltages. This paper presents the control of the inner current of MMC using Sliding Mode Controller (SMC). The switching function of SMC is based on 2 nd order super twisting algorithm. The Proposed super twisting algorithm is proved to be efficient in controlling the inner current. The 2 nd order harmonic is effectively suppressed, and the inner current is fully converged to its reference value. Moreover, the continuous nature of the super twisting algorithm solves the chattering issue. The implementation of MMC and its control is carried out in MATLAB/Simulink.

ACS Style

Waqar Uddin; Muhammad Ishfaq; Kamran Zeb; Saif Ul Islam; Hee Je Kim; Muhammad Adil Khan; Zahid Ullah; Imran Khan; Khadim Ullah Jan; Muhammad Asim Sarwar. Super twisting sliding mode control for inner current suppression of Modular Multilevel Converter. 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) 2020, 1 -6.

AMA Style

Waqar Uddin, Muhammad Ishfaq, Kamran Zeb, Saif Ul Islam, Hee Je Kim, Muhammad Adil Khan, Zahid Ullah, Imran Khan, Khadim Ullah Jan, Muhammad Asim Sarwar. Super twisting sliding mode control for inner current suppression of Modular Multilevel Converter. 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET). 2020; ():1-6.

Chicago/Turabian Style

Waqar Uddin; Muhammad Ishfaq; Kamran Zeb; Saif Ul Islam; Hee Je Kim; Muhammad Adil Khan; Zahid Ullah; Imran Khan; Khadim Ullah Jan; Muhammad Asim Sarwar. 2020. "Super twisting sliding mode control for inner current suppression of Modular Multilevel Converter." 2020 3rd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) , no. : 1-6.

Conference paper
Published: 01 December 2019 in 2019 15th International Conference on Emerging Technologies (ICET)
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This paper proposed Fuzzy-Sliding Mode Controller (F-SMC) for regulation of DC-link voltage and Proportional Resonant (PR) with Resonant Harmonic Compensator (RHC) for output current control of two stages 3 kW single-phase grid-tied Photovoltaic (PV) system. The dynamics of the system are tested with and without a feed-forward PV power loop. A SOGI phase lock loop is implemented that has harmonic insusceptibility, a fast-tracking accuracy, and rapid-dynamic response. The proposed controller enhances the dynamic and steady state performance of the overall system. Furthermore, the simulation results of PI controller is also presented to show the effectiveness of the proposed control strategy. A graphical and tabulated comparative assessment with a well-tuned PI controller authenticates the effectiveness, fastness and robustness of proposed controller. MATLAB/Simulink R2017b software is used as a design and implementation platform.

ACS Style

Kamran Zeb; Saif- Ul- Islam; Waqar Uddin; Imran Khan; Muhammad Ishfaq; Zahid Ullah; Tiago Davi Curi Busarello; Hee Je Kim. Design of Adaptive Sliding Mode Controller for Single-Phase Grid-Tied PV System. 2019 15th International Conference on Emerging Technologies (ICET) 2019, 1 -6.

AMA Style

Kamran Zeb, Saif- Ul- Islam, Waqar Uddin, Imran Khan, Muhammad Ishfaq, Zahid Ullah, Tiago Davi Curi Busarello, Hee Je Kim. Design of Adaptive Sliding Mode Controller for Single-Phase Grid-Tied PV System. 2019 15th International Conference on Emerging Technologies (ICET). 2019; ():1-6.

Chicago/Turabian Style

Kamran Zeb; Saif- Ul- Islam; Waqar Uddin; Imran Khan; Muhammad Ishfaq; Zahid Ullah; Tiago Davi Curi Busarello; Hee Je Kim. 2019. "Design of Adaptive Sliding Mode Controller for Single-Phase Grid-Tied PV System." 2019 15th International Conference on Emerging Technologies (ICET) , no. : 1-6.

Conference paper
Published: 01 August 2019 in 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)
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The quantity, quality, and reliability of Electric power gain significant important since the consumer start dependence at whole on energy. Losses are associated while delivering electric power to the consumer. The rated parameters at consumer doorstep/outcomes can be achieved by the use of proper Energy management strategies. In order to account for the "Proper strategies", our work proposed the Energy management model in collaboration with Game Theory (GT) to optimally deliver the electric power. Moreover, the Energy Management Models (EMMs) with all of its features and optimization methodologies are analyzed to an extreme degree.

ACS Style

S. M. Ali; Athar Waseem; Zahid Ullah. Energy Management Models: A Game-Theoretic Optimization Techniques for Energy Management in Smart Grid. 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET) 2019, 1 -6.

AMA Style

S. M. Ali, Athar Waseem, Zahid Ullah. Energy Management Models: A Game-Theoretic Optimization Techniques for Energy Management in Smart Grid. 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET). 2019; ():1-6.

Chicago/Turabian Style

S. M. Ali; Athar Waseem; Zahid Ullah. 2019. "Energy Management Models: A Game-Theoretic Optimization Techniques for Energy Management in Smart Grid." 2019 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET) , no. : 1-6.

Conference paper
Published: 01 July 2019 in 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE)
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The mismanaged Solid Municipal Waste (SMW) is not only considered as a big challenge but it is also regarded as the main cause of environmental pollution in Pakistan. Furthermore, the unplanned urbanization with exponential population growth demands an efficient and intelligent way of managing SMW. We, therefore, proposed a novel and medium cost conceptual architectural model in the realm of the Internet of Things (IoTs) for effective management of SMW. This proposed model may be then easily incorporated in a wider context of Smart District SMW management concept. However, in this study, we only proposed a conceptual model for house level SMW management. The aforementioned model will then act as a base unit. A further extension to district level can be easily made by integrating the house level SMW base unit model. The overall conceptual analysis of the proposed model illustrated that IoT based architecture will reveal better performance if implemented and adopted correctly in Pakistan.

ACS Style

N. Shaukat; Zahid Ullah; Bilal Khan; S. M. Ali; Athar Waseem. An Information-Based Waste Management Approach for Pakistan. 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) 2019, 1 -5.

AMA Style

N. Shaukat, Zahid Ullah, Bilal Khan, S. M. Ali, Athar Waseem. An Information-Based Waste Management Approach for Pakistan. 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE). 2019; ():1-5.

Chicago/Turabian Style

N. Shaukat; Zahid Ullah; Bilal Khan; S. M. Ali; Athar Waseem. 2019. "An Information-Based Waste Management Approach for Pakistan." 2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) , no. : 1-5.

Conference paper
Published: 01 January 2019 in 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
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A New Adaptive Fuzzy Logic Control (AFLC) strategy is analyzed in this paper for three phase Induction Motor, in order to achieve robustness and fast dynamic response for high and low-speed variation and to attain high torque and efficiency. The direct-quadrature axis modeling of IM in the synchronous reference frame is accomplished in Matlab/Simulink. Both PI and AFLC based on Levenberg Marquart technique is analyzed, designed and simulated for Indirect Field Oriented Controlled (IFOC) IM drive system. A Comparative study to the conventionally tuned PI controller of controlled speed, torque, and flux loops results shows that the proposed ALFC based on LM gives better, effective and faster responses with low overshoot, rise and settling time for IFOC IM drive system.

ACS Style

Kamran Zeb; Waqar Uddin; Saif Ul Islam; Imran Khan; Muhammad Ishfaq; Zahid Ullah; Aun Haider; Hee Je Kim. Adaptive Fuzzy Logic Controller for Indirect Field Oriented Controlled Induction Motor. 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) 2019, 1 -6.

AMA Style

Kamran Zeb, Waqar Uddin, Saif Ul Islam, Imran Khan, Muhammad Ishfaq, Zahid Ullah, Aun Haider, Hee Je Kim. Adaptive Fuzzy Logic Controller for Indirect Field Oriented Controlled Induction Motor. 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET). 2019; ():1-6.

Chicago/Turabian Style

Kamran Zeb; Waqar Uddin; Saif Ul Islam; Imran Khan; Muhammad Ishfaq; Zahid Ullah; Aun Haider; Hee Je Kim. 2019. "Adaptive Fuzzy Logic Controller for Indirect Field Oriented Controlled Induction Motor." 2019 2nd International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) , no. : 1-6.

Conference paper
Published: 01 October 2018 in 2018 2nd International Conference on Energy Conservation and Efficiency (ICECE)
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The following topics are dealt with: renewable energy sources; energy conservation; computer aided engineering; thermal power stations; solar power stations; solar absorber-convertors; distributed power generation; photovoltaic power systems; domestic appliances; humidity.

ACS Style

Zahid Ullah; Irfan Sami; Rafiq Asghar; Babar Azeem; S. M. Ali; Umar Farid; Bilal Khan; C. A. Mehmood; Aun Haider. A Comparative study of Linear and Nonlinear Control Schemes for AC Induction Machines. 2018 2nd International Conference on Energy Conservation and Efficiency (ICECE) 2018, 86 -92.

AMA Style

Zahid Ullah, Irfan Sami, Rafiq Asghar, Babar Azeem, S. M. Ali, Umar Farid, Bilal Khan, C. A. Mehmood, Aun Haider. A Comparative study of Linear and Nonlinear Control Schemes for AC Induction Machines. 2018 2nd International Conference on Energy Conservation and Efficiency (ICECE). 2018; ():86-92.

Chicago/Turabian Style

Zahid Ullah; Irfan Sami; Rafiq Asghar; Babar Azeem; S. M. Ali; Umar Farid; Bilal Khan; C. A. Mehmood; Aun Haider. 2018. "A Comparative study of Linear and Nonlinear Control Schemes for AC Induction Machines." 2018 2nd International Conference on Energy Conservation and Efficiency (ICECE) , no. : 86-92.

Conference paper
Published: 01 October 2018 in 2018 International Symposium on Recent Advances in Electrical Engineering (RAEE)
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Multi-correlated failures lead to severe power outages in an inter-connected power network. The critical loads of the data center, such as servers and chillers are highly dependent on the grid power. The service reliability and fault tolerance of the data center becomes challenging under multi-correlated failures. Data miss-management and service unavailability under such scenario will result in the massive revenue loss. To address this problem under multi-correlated failures, a fault tolerant model is proposed to minimize the revenue loss. Moreover, considering the system dynamics, our model maximizes throughput and operational time of the data center. Furthermore, we formulate a stochastic optimized system model that captures power consumption, power distribution, data center generation, data center workload, service deadline, and revenue loss. The effectiveness of the proposed fault-tolerant model is tested and validated using real-time data.

ACS Style

S. M. Ali; Nauman Khan Tareen; Irfan Sami; Zahid Ullah; Khalid Salman Khan; Umar Farid; Bilal Khan; C. A. Mehmood; M. Jawad. Fault Tolerance of Data Center under Multi-Correlated Failures. 2018 International Symposium on Recent Advances in Electrical Engineering (RAEE) 2018, 1 -6.

AMA Style

S. M. Ali, Nauman Khan Tareen, Irfan Sami, Zahid Ullah, Khalid Salman Khan, Umar Farid, Bilal Khan, C. A. Mehmood, M. Jawad. Fault Tolerance of Data Center under Multi-Correlated Failures. 2018 International Symposium on Recent Advances in Electrical Engineering (RAEE). 2018; ():1-6.

Chicago/Turabian Style

S. M. Ali; Nauman Khan Tareen; Irfan Sami; Zahid Ullah; Khalid Salman Khan; Umar Farid; Bilal Khan; C. A. Mehmood; M. Jawad. 2018. "Fault Tolerance of Data Center under Multi-Correlated Failures." 2018 International Symposium on Recent Advances in Electrical Engineering (RAEE) , no. : 1-6.

Journal article
Published: 01 October 2018 in Electric Power Systems Research
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A gas insulation medium SF6 has been widely employed in Gas Insulated Switchgear (GIS) since the 1960s. However, the high Global Warming Potential (GWP) limits the employment of SF6 gas as insulation medium in power system equipment. Therefore, to reduce environmental hazards, an alternative to SF6 is needed. In this regard, R134 gas seems to be a good replacement for SF6 gas considering the environmental concerns, because GWP of R134 is 94% less and cheap insulation medium, compared to SF6. Considering the aforementioned features of R134 gas, our paper presents an experimental and analytical study of R134 gas and its mixtures with N2 and air. The R134 gas emerged as a strong alternative to SF6 gas and possesses 0.85 times dielectric strength, compared to SF6 gas. We include a comparative study of SF6, R134, and their mixture by evaluating the following aspects: (a) environmental effects and (b) liquification condition. Further, the experimental arrangement, procedures, and testing methodologies are elaborated in this paper. Our work also performs the power frequency breakdown voltage testing of R134 and its mixtures. Furthermore, the Synergistic effect, Self-recoverability, and Liquification are investigated in this paper. Based on our experiments, the final results reveal that R134 is a better insulation medium than SF6.

ACS Style

Rahmat Ullah; Zahid Ullah; Aun Haider; Salman Amin; Faisal Khan. Dielectric properties of tetrafluoroethane (R134) gas and its mixtures with N 2 and air as a sustainable alternative to SF 6 in high voltage applications. Electric Power Systems Research 2018, 163, 532 -537.

AMA Style

Rahmat Ullah, Zahid Ullah, Aun Haider, Salman Amin, Faisal Khan. Dielectric properties of tetrafluoroethane (R134) gas and its mixtures with N 2 and air as a sustainable alternative to SF 6 in high voltage applications. Electric Power Systems Research. 2018; 163 ():532-537.

Chicago/Turabian Style

Rahmat Ullah; Zahid Ullah; Aun Haider; Salman Amin; Faisal Khan. 2018. "Dielectric properties of tetrafluoroethane (R134) gas and its mixtures with N 2 and air as a sustainable alternative to SF 6 in high voltage applications." Electric Power Systems Research 163, no. : 532-537.

Conference paper
Published: 01 September 2018 in 2018 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET)
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Our paper presents the control of the active and reactive power of Doubly Fed Induction Generator (DFIG) interfaced with the conventional grid. The parameters of DFIG are controlled by Adaptive Proportional Integral (API) controller. While the parameter of the adaptive controller is updated with a Mamdani-Fuzzy controller. API is designed to track the desired value of active and reactive power during a normal condition and minimize power oscillation during the grid disturbances. The use of API approves the availability of good quality of electric power. The adaptive nature of the proposed controller helps to mitigate the oscillation produced during and after the occurrence of the voltage dip. The result of API and conventional PI is compared critically. The simulation of DFIG is carried out in Simulink/MATLAB.

ACS Style

Waqar Uddin; Kamran Zeb; Zahid Ullah; Muhammad Adil; Hee Je Kim; Ayesha Tanoli; Rahmat Ullah; Bilal Khan; Aun Haider. Enhancing the active and reactive Power quality of Doubly Fed Induction Generator using Adaptive PI Controller. 2018 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET) 2018, 1 -6.

AMA Style

Waqar Uddin, Kamran Zeb, Zahid Ullah, Muhammad Adil, Hee Je Kim, Ayesha Tanoli, Rahmat Ullah, Bilal Khan, Aun Haider. Enhancing the active and reactive Power quality of Doubly Fed Induction Generator using Adaptive PI Controller. 2018 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET). 2018; ():1-6.

Chicago/Turabian Style

Waqar Uddin; Kamran Zeb; Zahid Ullah; Muhammad Adil; Hee Je Kim; Ayesha Tanoli; Rahmat Ullah; Bilal Khan; Aun Haider. 2018. "Enhancing the active and reactive Power quality of Doubly Fed Induction Generator using Adaptive PI Controller." 2018 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET) , no. : 1-6.

Conference paper
Published: 01 March 2018 in 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET)
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In an electrical power system, the transformer is one of the most important and efficient machines, and to ensure the continuity of power supply utmost care should be taken for its safe operation. Transformers are robust device but they may fail over time due to old age, poor insulation, deterioration of cellulose as well as oil insulation. In addition, there are several elements that may lead to insulation's premature aging and damages; these may include oxygen, heat and moisture contents. transformer oil provides insulation and cooling inside a machine, however there are various factors which affect the insulation strength and smooth flow of the transformer oil over the period of time, so it is therefore very important to observe some of the specific parameters like electrical (specific resistance, dielectric strength, dielectric dissipation factor or tan delta), chemical (Water content, sludge content, acidity) and physical (viscosity, flash point, pour point) to check the effectiveness of the transformer oil Therefore by keeping in mind the factor of reliability, this work presents three field transformers along with application of different diagnostic methods on their oil sample. At the end of this work, the detailed analysis carried out on the basis of effects of temperature, humidity, and loading. Tests are performed to check the appearance, breakdown voltage, water content, acidity, dielectric dissipation or tan delta Dissolved gas analysis (DGA) and kinematic viscosity of the oil samples, results obtained from these tests are then compared to IEC standards to check the effectiveness of the oil samples.

ACS Style

Rahmat Ullah; Abdur Rashid; Aun Haider; Zahid Ullah; N. Ahmad; M. S. Sulemani; N. U. Rahman. Performance evaluation of power transformer under different diagnostic techniques. 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) 2018, 1 -6.

AMA Style

Rahmat Ullah, Abdur Rashid, Aun Haider, Zahid Ullah, N. Ahmad, M. S. Sulemani, N. U. Rahman. Performance evaluation of power transformer under different diagnostic techniques. 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET). 2018; ():1-6.

Chicago/Turabian Style

Rahmat Ullah; Abdur Rashid; Aun Haider; Zahid Ullah; N. Ahmad; M. S. Sulemani; N. U. Rahman. 2018. "Performance evaluation of power transformer under different diagnostic techniques." 2018 International Conference on Computing, Mathematics and Engineering Technologies (iCoMET) , no. : 1-6.