I Abdul Azeem, Research Scholar in Department of Electrical Engineering , Jamia Millia Islamia-New Delhi. Received the B.Tech. Degree in electrical & Electronics Engineering from Hemvati Nandan Bahuguna Garhwal University (A Central University), located in Srinagar, Uttarakhand, India, in 2009, the M.Tech. Degree in Condition Monitoring Control & Protection of Electrical Apparatus from the NIT-Hamirpur, Himachal Pradesh, in 2011, and the Pursuing Ph.D. degree in Real-Time Analysis of IEC-61850 based Digital Substation using Artificial Intelligence from Jamia Millia Islamia (A Central University), New Delhi, India, admitted in 2019. He had worked with the Department of Electrical Engineering, MBU-Solan (H.P.), India, and the Techwords Engineering College Roorkee (U.K.), India. He has published/presented many articles in various peer-reviewed international journals and conferences.
EDUCATION
Research Scholar, Department of Electrical Engineering, Jamia Millia Islamia-New Delhi
RESEARCH INTERESTS
Digital Substation, IEC-61850
21
Scopus Publications
Scopus Publications
ICT in Ensuring Inclusive and Equitable Quality Education Dilshod Mirzaev, Ulmas Zoirov, Abdul Azeem, M Rizwan, Majid Jamil ACM International Conference Proceeding Series, 2025 The use of ICT always offers flexibility and availability of learning materials to all students whenever required. This technology is also beneficial for slow learners or having learning disabilities as such students may go through the contents repeatedly and understand the subject thoroughly. In addition, the availability of learning resources will also benefit students who are not able to attend the classes regularly due to any reason including financial constraints and health as a result the ICT can become a catalyst to optimise the learning process and empower students in solving complexities associated with real world. Since education is the most powerful tool for the transformation of the society. Therefore, the importance of use of ICT in education system and its role in the development of the society is discussed here in this paper.
Real-Time Hardware Demonstration of Innovative Technology for Cleaning of Solar PV Modules Mohammad Rizwan, Abdul Azeem 22nd International Learning and Technology Conference Human Machine Dynamics Fueling A Sustainable Future L and T 2025, 2025 The climate change, depletion of resources, sustainability and energy security are the major concerns globally, therefore becomes important to harness technology for sustainable solutions. The energy transition is the shift from dependence on fossil fuels to renewable and sustainable energy resources. This change addresses the urgent need for sustainable, environment friendly energy solutions which is one of the key targets of the vision 2030 of KSA. The power generation from renewable energy resources particularly solar photovoltaic may fulfill the power requirements due to its abundant availability. However, Solar PV power generation faces certain limitations, With dust buildup on solar PV modules being a significant challenge, especially in desert regions such as Saudi Arabia. This research focuses on investigating The effect of dust on the efficiency of solar PV modules, and provide an innovative technology to mitigate the impact of dust accumulated on PV modules. A laboratory prototype is developed to demonstrate the technology. The PV module is cleaned using pressurized clean water, which is sprayed through flat type nozzles to wash the upper surface of the PV modules. Wastewater from the PV module's top is collected, purified, and piped to the water storage tank. Cleaning system water recovery is 95% and water demand is 2.5 Litre/m<sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> of PV module area. Analyzing the power of clean and dusty PV modules reveals that the presence of dust has an impact on the power production from PV modules. The cleaning process boosts the PV modules' efficiency to 99% of their original value in just 2.47 minutes of operation. Based on the obtained results it is concluded that the developed technology is cost effective and may be utilized at large scale.
Power grid based renewable energy analysis by photovoltaic cell machine learning architecture in wind energy hybridization U. Sakthi, T. Anil Kumar, Kuraluka Vimala Kumar, Shamimul Qamar, Girish Kumar Sharma, Abdul Azeem Sustainable Energy Technologies and Assessments, 2023 Use of solar energy systems and related green energy technology has spread around the world. When compared to conventional energy sources, solar energy is still not a frequently used energy source due to the comparatively high installation prices, low conversion rates, and battery capacity concerns. Despite the difficulties, there are numerous creative studies of new substances and new techniques for enhancing the efficiency of solar energy transformation to increase competitiveness of solar energy in market. This research proposes novel method in renewable energy analysis based on photovoltaic cell and machine learning technique for wind energy hybridization. The renewable analysis has been analysed using photovoltaic (PV) cell. Wind energy hybridization is carried out using convolutional kernel support regression vector machine. Experimental analysis has been carried out in terms of scalability, QoS (quality of service), power consumption, network efficiency, training accuracy. Financial advantages of using new cooling methods for photovoltaic panels are also assessed through a cost analysis.
Electrical Distribution network service restoration in Smart grids using ACO-Fuzzy Approach Amit Sharma, Majid Jamil, Abdul Azeem 2023 International Conference on Recent Advances in Electrical Electronics and Digital Healthcare Technologies Reedcon 2023, 2023 Smart cities form the benchmark for the futuristic engineering trends in the field of electrical distribution system. A futuristic venture into these Smart cities required a solution to most complex solution which shall going to be a challenge to the power engineers. The most reliable solution to these complex problems are the application of Artificial Intelligence in the most refine manner. Only the successful application of artificial intelligence techniques in the everyday use will form the backbone for these cities. This paper proposes an AI based algorithm for the application in the field of Electrical Distribution system. Ant colony based optimization algorithm is used to realize how the smart cities grid is going to respond to the contingencies arising in the distribution network. A fuzzy logic based input module is used for getting the best appropriate result for the optimization problem. The algorithm is applied on the IEEE 30 bus system within the Mi-Power software paradigm.
Real-Time harmonics analysis of digital substation equipment based on IEC-61850 using hybrid intelligent approach Abdul Azeem, Hasmat Malik, Majid Jamil Journal of Intelligent and Fuzzy Systems, 2022 This paper proposed a hybrid intelligent approach based on empirical mode decomposition (EMD), artificial neural network (ANN) and J48 algorithm of machine learning for real-time harmonics analysis of digital substation’s equipment based on IEC-61850 using explanatory input variables based on laboratory proto-type real-time recorded database. In the proposed hybrid model, these variables are first extracted then diagnostic of power transformer harmonics of digital substation is evaluated/analyzed to perform the long term as well as the short term goal and planning in the electrical power network. In this paper, firstly, experimental analysis is performed to validate the laboratory prototype setup using FFT (fast Fourier transform), STFT (short-time Fourier transform) and CWT (continuous wavelet transform). Then, features are extracted from experimental dataset using EMD (empirical mode decomposition) method. The IMFs (intrinsic mode functions) have generated from EMD, which are used as an input variable to the two different diagnostic models, i.e., ANN and J48 algorithm. In order to validate the performance and accuracy of the proposed hybrid model, a comparative analysis is performed by using ANN and J48 method (with and without EMD method) and the results are compared. Obtained results shows that the proposed hybrid diagnostics approach for harmonics analysis has outperformance characteristics.
Design of hardware setup based on iec 61850 communication protocol for detection & blocking of harmonics in power transformer Abdul Azeem, Majid Jamil, Shamimul Qamar, Hasmat Malik, Rayees Ahmad Thokar Energies, 2021 In this paper, the authors have developed a hardware model for blocking even and odd harmonics of a power transformer. In the proposed hardware model, intelligent differential & over-current relays are used for the blocking of harmonics of a power transformer. The harmonic restraint function on the differential relay (7UT61) prevents the relay from tripping during transformer magnetizing inrush current. However, the over-current relays which are used for back up protection does not have a harmonic restraint element, and over-current relay trips due to magnetizing inrush current, causes unwanted interruptions and power failures. The establishment of harmonic blocking scheme for over-current protection in power transformers is an important finding of this research study. IEC61850 standard-Based GOOSE (Generic Object Oriented Substation Event) applications used in power transformer protection for fast detecting and clearing of faults is an interested study presented in the proposed work.
