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Papers by Dr Mohammad sarfraz

Frontiers in Energy Research

The voltage profile of different buses and the rotor dynamics of generators are adversely affecte... more The voltage profile of different buses and the rotor dynamics of generators are adversely affected by a generator outage. Generator outages can be minimized using a variety of strategies and algorithms. An AI-based knowledge discovery approach has been reported in this article. This article proposes a technique for identifying sensitive loads and the amount of active and reactive power curtailment for rotor speed regulation and voltage management at the terminals. The MATLAB®/Simulink environment verifies and tests the method’s practicality on an IEEE-10-machine-39-bus system. Active power shedding is considered for rotor angle stability, while reactive power is also shedded for maintaining the terminal voltage at the loads. A sequential outage is considered to simulate a scenario where the two generators with the highest active and reactive power are taken out of service. The generator’s rotor speed, terminal voltage, and load are measured with and without load restriction. In all ...

2022 2nd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET)

2021 International Conference on Simulation, Automation & Smart Manufacturing (SASM)

IEEE Access

Emergency control of the power system is performed via generator rescheduling or load shedding de... more Emergency control of the power system is performed via generator rescheduling or load shedding depending upon the availability of generation and demand. This paper presents a generator rescheduling method based on Krasovskii's theorem for enhancing rotor speed regulation during multiple contingency conditions. The speed governor in automatic generation control (AGC) and automatic voltage regulator (AVR) are indispensable components of the control mechanism for deploying any control scheme. Contingencies may lead the security state of the power system towards a preventive, emergency, and restorative state. Generally, there is a violation of equality constraints of active and reactive power in the corrective security state. However, in this paper, the corrective security state considers a significant imbalance in active power with a generation capacity always greater than load. For rotor angle stability, active power delivery by the generator met the demands, whilst the turbine and automatic speed governor together balance it by changing the set point of the turbine inlet. This paper investigates the rotor stability by triggering a new set point by the rescheduling of the generator. The strategy proposed encompasses the broad domain of active power imbalance using Krasovskii's theorem, which is an extensive form of the Lyapunov stability theorem for the nonlinear multivariable autonomous system. The proposed control scheme is deployed on an IEEE-10 machine 39-bus system for validation and feasibility detection. It is found that the proposed scheme is more accurate than the conventional turbine automatic speed governor close loop system. Moreover, there is turbine power-saving up to 400 MW. In addition, the rotor attains steady-state speed quicker up to 5-10 sec and attains synchronous speed in all the cases considered, i.e., single load outage; multiple load outage; area outage; and load increment. The MATLAB R and the CVX platform are used to validate the proposed concept.

Application of Communication Computational Intelligence and Learning, Jun 14, 2022

Communications in computer and information science, 2022

The Effects of Dust and Heat on Photovoltaic Modules: Impacts and Solutions, 2021

International Journal of Intelligent Engineering and Systems, 2022

Arrhythmia identification using electrocardiograms (ECGs) is a critical component of biomedical s... more Arrhythmia identification using electrocardiograms (ECGs) is a critical component of biomedical signal processing and pattern recognition. The classification of ECG arrhythmias is presented in this article using features extracted from the Extreme Value distributor of the probability density function (PDF), also training model built using the Alexnet architecture of a conventional neural network (CNN). A continuous wavelet transform (CWT) was used to convert the features space to a two-dimensional image. Additionally, a comparison of the two approaches was conducted. In the first case, we used CWT to convert ECG data to two-dimensional images. In the second case, features were extracted from PDF files and converted to the image domain using a CWT. With a learning rate of 0.001 and batch size of 250, the accuracy of tests was 98.67 %. The results indicated that the proposed method is more accurate than the conventional method when it comes to feature extraction.

Visual inspection of waveforms on paper or screen by experts can hardly meet the needs of ambulat... more Visual inspection of waveforms on paper or screen by experts can hardly meet the needs of ambulatory, long term monitoring and sports electrocardiograms (ECGs). Automated systems deploying signal processing and pattern recognitions are sought. Arrhythmias identification represents an important branch of ECG pattern recognition. Motion induced artifacts are known to be a major cause of mis-recognition and misdiagnosis. This paper proposes the use of independent component analysis (ICA) to enhance multi-channel ECG signals. Using the MIT dataset with 8 ECG conditions, cross validation shows significant improvement when processing noisy data. The improvement is signal to noise ratio related: the lower the signal to noise ratio the more significant improvement has been observed. Significant improvements in classification sensitivities and specificity are achievable in the presence of non-trivial motion related noise.

Lecture Notes in Electrical Engineering, 2022

Lecture Notes in Mechanical Engineering, 2020

Wireless Communications and Mobile Computing

The collapse of oil prices in mid-2014 and early 2016 was the biggest in modern history that witn... more The collapse of oil prices in mid-2014 and early 2016 was the biggest in modern history that witnessed more than a 70% drop in the price to around $40 barrel. It prompted companies to think seriously to maintain profitability. Most companies were able to survive partly by simplifying their operations. Price recovery in 2021 is only 70% of its peak value. Companies are focusing on reducing the cost of operations, increasing production simultaneously, and finding new and different strategies to survive. The current scenario is witnessing strong research focusing on the development of process control for oil and gas upstream and downstream to improve the control and preventive maintenance to reduce operating costs and increase production. This paper presents the Industrial Internet of Things (IIoT) practical solution that improves the oil production rate from the well and increases the average pump efficiency (fillage) to 90%. This paper proposes a mechanism for collecting, storing, an...

Abstract. The self-organizing map (SOM) is useful within bioinformatics research because of its c... more Abstract. The self-organizing map (SOM) is useful within bioinformatics research because of its clustering and visualization capabilities. The SOM is a vector quantization method that reduces the dimensionality of original measurement and visualizes individual tumor sample in a SOM component plane. The data is taken from cDNA microarray experiments on Diffuse Large B-Cell Lymphoma (DLBCL) data set of Alizadeh. The objective is to get the SOM to discover biologically meaningful clusters of genes that are active in this particular form of cancer. Despite their powers of visualization, SOMs cannot provide a full explanation of their structure and composition without further detailed analysis. The only method to have gone someway towards filling this gap is the unified distance matrix or U-matrix technique. This method will be used to provide a better understanding of the nature of discovered gene clusters. We enhance the work of previous researchers by integrating the clustering result...

2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON)

With the global population crossing 7 billion, the number of deaths from cardiovascular diseases ... more With the global population crossing 7 billion, the number of deaths from cardiovascular diseases is on the rise. According to WHO report, 17.9 million people die each year from CVDs, representing 31% of all global deaths. Of these deaths, 85% are due to heart attack and stroke. Cardiovascular diseases, the leading cause of premature death in the world include heart attacks, strokes and other circulatory diseases. More than 75% of CVD deaths occur in low-income and middle-income countries. So the challenge is how to provide a health-care monitoring system especially for rural areas which lacks in the established set up of cardio health centers. The scarcity of specialist can partially be solved with sharing the people medical information with professionals, specialists and artificial intelligence health management system on cloud to give information at early stage, which can increase the quality of life and also lessen the risk of death. In this paper we discuss the implementation and design of a monitoring and measurement system based on IoT (internet of things) with Arduino. This system uses Arduino microcontroller with ESP8266 NodeMCU as a WI-FI module which helps to send and store the real time information of patient health to Google firebase.

Advances in Intelligent Systems and Computing

Lecture Notes in Mechanical Engineering

Today, in this cutting-edge period of technology in advances, it is beyond doubt that the as of n... more Today, in this cutting-edge period of technology in advances, it is beyond doubt that the as of now information is hugely important for all organizations and associations. Along these lines ensuring its security is pivotal and the security models driven by genuine real data sets have gotten very significant. The tasks dependent on military, government, business and regular people are connected to the security and accessibility of networks and systems. There are numerous strategies accessible to enhance and develop more strong and secure systems, however in this time of advancement that is insufficient. Also, to address that issue for more robust and secure systems here we are considering artificial intelligence for cybersecurity. This paper focuses on a significant and critical conversation on how best to utilize the capability of Artificial Intelligence with regards to cybersecurity. As various techniques for artificial intelligence have been progressively being used in cybersecuri...