Browsing by Author "Shatil, Abu Hena MD"

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A Robust Fault Diagnosis Scheme using Deep Learning for High Voltage Transmission Line
(AIUB, 2022-11-23) Mahamud Khan, Sazzed; Shatil, Abu Hena MD
The transmission lines repeatedly face an aggregation of shunt-faults and its impact in the real time system increases the vulnerability, damage in load, and line restoration cost. Fault detection in power transmission lines have become significantly crucial due to a rapid increase in number and length. Any kind of interruption or tripping in transmission lines can result in a massive failure over a large area, which necessitates the need of effective protection. The diagnosis of faults help in detecting and classifying transients that eventually make the protection of transmission lines convenient. In this paper, we propose a deep learning-enabled technique for the detection and classification of transmission line faults. The faulty information are extracted using Discrete Wavelet Transform (DWT) and fed into the multilayer perceptron classification model. The results indicate that the proposed approach is capable of accurately classifying and detecting faults in transmission line with high precision.
An Unsupervised Protection Scheme for Overhead Transmission Line with Emphasis on Situations During Line and Source Parameter Variation
(IEEE, 2021-02-01) Shahriar Rahman, Fahim; Sarker, Niloy; Shatil, Abu Hena MD; Hazari, MD Rifat; Subrata, K Sarker; Sajal K, Das
Quick removal of the short circuit faults in a power transmission and distribution system solely depends on an accurate characterization of them. Characterization of short circuit fault demands continuous monitoring of the electrical signals residing with the power transmission lines that change with the operating conditions. Taking the deficiencies as a research challenge, this paper introduces an unsupervised learning framework for fault detection and classification (FDC) based on the capsule neural network. The proposed framework learns from the unlabeled dataset and captures more extra target-oriented attributes. The Gramian angular field (GAF) image representations of the sampled signals are fed as input to the proposed model. The performance of the proposed method is verified in terms of errors due to the source and line parameters variation. Furthermore, to acquire more intuitive insight, a comparison analysis among the existing commensurate methods and the proposed architecture is carried out. The results found from the verification indicates that the proposed method has the ability to provide more than 99% classification accuracy.
Augmentation of Battery Management Systems in Smart-Grid operation using Fuzzy Logic
(IEEE, 2021-02-01) Sabiqun, Nahar; Md. Redowan Mahmud, Arnob; Shatil, Abu Hena MD
This paper proposes an idea of optimizing battery management system using fuzzy logic for a smart grid system. The involvement of a fuzzy logic controller makes the existing control mechanisms for the battery management system more intelligent hence allowing the system to prioritize between the loads and multiple batteries in the battery storage system (BSS) which enables the utilization of the harnessed solar energy with greater service continuity. This design involves a much more effective algorithm of a load and battery management system using fuzzy sets which allows to optimize solar power utilization and maintaining smooth battery health conditions. Finally, a comparative study is illustrated showing the differences between a system working with a greater number of membership functions (64 rules) and the one working with only two membership functions (8 rules).
Design and Comparison of Floating Solar Panel for Chalan Beel
(IEEE, 2022-07-29) Shatil, Abu Hena MD; Saha, Shuvra; Ahmed, Kazi Firoz; Hasan, A N M Shahebul; Rahman, S M Imrat
Floating solar panels become a recent trend in solar energy harvesting systems. Countries like Bangladesh where land is scarce and densely populated could conduct feasibility tests about these floating panels. There are many rivers, canals, beel around Bangladesh which could be a perfect place for such kind of experiment. This paper investigates the possibility to set up floating solar panels in Chalan Beel, Natore, Rajshahi. Throughout the experimental setup, it is also observed the comparison between the ground-mounted panel and floating panel based on electrical parameters like output power along with costing. After the analysis, it is found that the energy conversion cost in the floating panel set up is 0.57 cents/kWh, which is acceptable comparably with other countries.
Design and Comparison of grid connected Permanent Magnet Synchronous Generator Non-salient Pole and Salient Pole Rotor Wind Turbine
(AIUB, 2021-05-15) S.M. Mehedi, Hasan; Shatil, Abu Hena MD
Variable speed wind turbines are widely used wind energy conversion system (WECS). Among them doubly fed induction generator (DFIG) and permanent magnet synchronous generator (PMSG) are mostly used. PMSG based wind turbines are getting more popular in recent times because of their several advantages over other types. Direct drive capability and low speed operation are some of it’s significant advantage over other type. This paper describes two rotor types of grid connected PMSG, non-salient pole or round pole rotor and salient pole rotor and shows a comparative study between them. The mathematical model was designed and simulated using Matlab/Simulink. Simulation results have been shown to analyze their performances.
Design and Implementation of a Synchronous Generator with Rotor Angle Stability Control for Damping Interarea Oscillations of Interconnected Power Systems via PSS
(IEEE, 2021-04-12) Rahman, MD Lutfur; Shatil, Abu Hena MD
The main aim of this paper is to regulate the rotor angle of the synchronous generator and solve the inter-area mode of oscillation in a power system using a power system stabilizer. That is a major concern. The inter-area modes are basically an interaction between the mechanical parts of the generating plans through the electrical part of the system. So, the transmittance of the electrical power of the areas has a significant influence generally on the damping. Inter-area oscillations are innate to power systems. This type of oscillation is characterized by a group of generators in one area of the system oscillating against another group located in another area. In this paper power system stabilizer (PSS) is used to damp the inter-area mode of oscillation in the power system. In this system simulation model is set up into MATLAB/SIMULINK software.
Design and Implementation of Control System Lifeguard
(IEEE, 2021-12-20) Rahman, MD Lutfur; Shatil, Abu Hena MD; Ahsan, Ali; Ghosh, Debashish; Haque, MD Nazmul; Sarker, Snehashish
The main purpose of this paper is the design and implementation of the control system Lifeguard. The device is remote-controlled by an RF transmitter and receiver through radio frequency, for this system used a cork sheet to make the physical structure of the device. Two brushless DC motors are used to drive the device. A servo motor is used as a rudder to control the directions. When the transmitter sends the signal to the receiver using radio waves, it drives the motors, causing a specific action to occur. The device motors cause the propellers to turn as the propellers are attached to the motors by shafts. A pressure difference is produced between the forward and rear surfaces of the propeller blades and water is accelerated behind the blades. The propellers push the device backward by a massive amount of pressure thus the device moves forward. The ESC controls the speed of the motors. A servo motor is used to operate the rudder. The servo motor is attached tightly to the rudder. The transmitter also operates the servo through radio frequencies. When the servo rotates this causes the rudder to change direction.
Emergency Distribution Network Design & Analysis for Consecrated COVID 19 Hospital Zone
(AIUB, 2022-05-12) Shatil, Abu Hena MD; Rahman, Lutfur
A power distribution network is always a key topic in a grid system because of more complexity. Rapidly or sudden load increasing to a particular one or two feeders can arise uncertainty and unbalance conditions in the system. Voltage fluctuations, Deviations, THD (total harmonic distortion), Reactive power imbalances can seriously unstable the grid for load increasing situations. In recent days due to COVID 19 condition, dedicated hospitals are connected to the distribution network. Because of its urgency and usefulness, a new type of distribution network called loop plus parallel has been presented in this paper. Finally, the simulation studies show better performance when comparing the traditional types of networks.
Energy Generation and Measurement of Internal Combustion Engine Performance through Decentralized Waste Treatment
(AIUB, 2014-08-01) Nandi, Sanjib Kumar; Shatil, Abu Hena MD
Waste is a serious environmental hazard and social problem in Bangladesh. Currently a massive volume of solid waste is generated every day in the Municipal areas and unfortunately solid waste management is being deteriorated day by day. Consequently the country has had serious crisis of electricity, load shedding is now impractical as living standards and become a great barrier in socio economic growth. Now, interest in renewable energy resources from organic solid wastes has increased, as there is a huge amount of energy locked in these wastes. By meeting the both, power generation from solid waste can play a vital role in socio-economic development of the country. A study on the potential of such energy resources is presented in this paper. In this respect, internal combustion engine is a pivotal area to generate energy from these wastes. We have made an intensive comparison between bio gas and natural gas characteristics at combustion engine. This paper also demonstrate why should use bio gas instead of natural gas for generators.
EVOCATION AND EXPEDIENT OF AN ASSEMBLE OF ROOFTOP SOLAR PV AND VEHICLE TO GRID TECHNOLOGY: ON PERSPECTIVE OF BANGLADESH
(Southeast University, 2021-07-15) Shatil, Abu Hena MD; Ahsan, MD Rakib
Demand response systems have become a big draw for reducing peak demand in the electrical power sector as a smart grid enabler. The household consumer will add significantly to the capacity for peak-hour energy demand mitigation. The aim of this paper is to discuss the energy usage of a single household with multiple properties, including household appliances, an electric vehicle (EV), and a battery energy storage device (BESS). A rooftop solar photovoltaic (PV) generation system on a small scale is also a component of a smart household. The BESS and PV are used to charge household equipment, and any excess electricity produced can be pumped back into the grid. The optimization problem of intelligent home energy management is formulated as a mixed integer linear programming problem (MILP). The load serving body registers the energy user for real-time price-based demand response programs (LSE). The simulation results demonstrated the LSE's major contribution to achieving usage cost gains and minimizing peak to average ratios. An algorithm has been proposed to reduce the conversion losses. Eventually then, the whole system analyzed by MATLAB software
ISLANDED MODE MICROGRID AUTOMATION BY USING DROOP CONTROL METHOD FOR STRANDED ZONE IN BANGLADESH
(Southeast University, 2022-01-15) Shatil, Abu Hena MD; Rahman, MD Lutfur
Distributed generation (DG) is a critical component of the emerging microgrid concept, which enables sustainable energy integration within a distribution network. Inverters are critical components of DG unit operation since they connect energy sources to the grid utility. By combining inverters with feasible control mechanisms, the interface may be enhanced successfully. These controllers are critical in microgrids since they help to increase the system's performance, stability, resilience, and dependability. In Bangladesh, areas like Saint Martin, Hatia are remotely located where this type of microgrid automation can be implemented. The microgrid can be operated in grid-connected and island mode. Different control strategies like droop control, master-slave control, circular chain control, average current sharing control can be used to perform grid in island mode. In this study, a hierarchical droop control methodology has been used. In a conventional droop control system load-dependent on the frequency and voltage regulation become poor. In this research, it has been observed that the hierarchical droop control network shows stable power-sharing with improved voltage and frequency regulation. Extensive simulations have been carried out to validate the proposed control strategy’s effectiveness in terms of rapid transient response and stabilization of voltage, frequency, and power equitability among the micro sources in the islanded microgrid.
LOAD FACTOR OPTIMIZATION WITH DIFFERENT ALGORITHM
(Southeast University, 2021-07-15) Mazharul, Sharker; Anika Tun, Naziba; Manika Tun, Nafisa; Shatil, Abu Hena MD
—The energy is obtained to the primary and secondary substations during high demand, using dynamic weight-based load. The shifting algorithms minimize demand by shifting the load, maximizing utilization and enhancing load factor efficiency by distributing loads over various time frames. Maintaining stable demand and increasing users' consumption is a cost-effective way of increasing output while maximizing the usage of electricity. The load factor would improve in both cases and, thus, reduce the average unit cost per kWh. The main factors in establishing the theory of optimal energy usage are high energy use and the depletion of established energy resources. The existing algebraic theory model approach is incapable of properly optimizing the load factor for a large distribution network, resulting in excessive load energy consumption. To solve this issue, this article proposes many load factor optimization methods. The trend of the grid's load curve is studied in order to achieve the grid's optimum load factor management under various situations. The simulation findings indicate that the Genetic Algorithm approach performs better in terms of control performance and accuracy while optimizing load factors
Maximum Power Extraction Using Genetic Algorithm from Wind Energy System
(IEEE, 2021-12-20) Mahmud, S. M. Istiaque; Ahsun, Akib; Sarker, Apurbo Kumar; Shatil, Abu Hena MD
Wind power production is increasingly has become the predominant clean energy source. The energy consumed by the wind power conversion system is not only based on the wind, but also on the wind energy conversion management strategy used on the site. The construction of wind turbines around the world has been expanding steadily over the last decade, and wind energy has been a major factor in fostering sustainable growth. The production of wind turbines soon becomes the favored renewable source of electricity. There are several concerns with efficiency of wind energy systems with respect to optimal wind capacity. In order to extract the most energy from a wind turbine generator, the wind turbine must be powered at the correct speed for a certain wind level. This paper introduces the optimal power extraction for variable speed wind turbines (VSWT) through genetic algorithms. There is some control method to gain full power from the wind, but it’s not really effective. To make the progress, genetic algorithms done to improve the controller quite accurate adjustments. The MATLAB software has been used to conduct simulation analyses. The findings of the simulation show that optimum mechanical power can be derived quite adequately from the wind using the genetic algorithm.
MICROGRID DESIGN AND SIMULATION
(Southeast University, 2022-01-15) Debashish, Ghosh; Shatil, Abu Hena MD
In this cutting-edge period, power is a basic need for all things and it applies to the electrical framework. Just as this circumstance the developing pace of the populace is expanding step by step. This kind of case made protection from offering total assistance in every single distant region and area in Bangladesh, particularly on the Island of St. Martin's. This paper shows a hybrid system to complete this service. MATLAB Simulink is used to perform the simulation. This system is divided into two loads and they are fixed load and dump load. For as usual load, Diesel Generator is perfect at the same time Battery Energy Storage System (BESS) can provide this complete service when diesel generator or diesel Genset is disabled. This problem has a permanent solution which is a model Microgrid Equivalent model. This model is also applicable to using a battery and it can remove a high amount of fuel consumption. The final result shows that the diesel little by little tasks the complete amount of load; the maximum frequency deviation which is decreased from 5 Hz to 2 Hz, the frequency restores from 2-2.5s. This microgrid system is the most advantageous and unrestricted for the proposed area
Modeling and Simulation of a Synchronous Generator with Rotor Angle Stability and Solve Inter Area Mode of Oscillation in Power System using Power System Stabilizer(PSS)
(AIUB, 2019-05-31) Rahman, Lutfur; Shatil, Abu Hena MD
Power System stabilizers are a form of supplementary control that is used to provide additional damping to the inter area mode oscillations or to stabilize a generator whose voltage regulator gain is such that it may result in negatively damped machine-to-system oscillations under certain conditions. It has seen observed that the damping of these small power oscillations can be improved by leading back appropriate stabilizing signals to the input of the gain’s exciter. Some input signals that have been considered in the research are slip speed, accelerating power, frequency. In this manuscript, we will use an establish approach to obtain a preliminary design for a power system stabilizer with slip speed as the feedback signal.
Performance Analysis of Load Frequency Control for Power Plants Using Different Optimization Techniques
(IEEE, 2023-03-21) Niloy, Goswami; Shatil, Abu Hena MD
In this paper, several optimization techniques including the Particle Swarm Optimization (PSO) technique, the Genetic Algorithm (GA), and the Adaptive Neuro-Fuzzy Inference System (ANFIS) are applied to determine the most efficient output for load frequency control. These optimization techniques analyze the optimal level of system performance. The goal of this paper is to identify the most effective optimization technique for this sophisticated LFC system. In this research, three strategies (PSO, GA, ANFIS) are used in the LFC system to analyze frequency fluctuation and compare the load change rate. The model consists of the transfer function of the governor, turbine, rotating mass, and load. In this analysis, the ideal performance is examined across three separate case scenarios. The MATLAB/SIMULINK software simulates the performance analysis, which offers more realistic data and is generally preferred in this sort of optimization strategy work.
Performance Analysis of the AVR Using An Artificial Neural Network and Genetic Algorithm Optimization Technique
(IEEE, 2023-03-21) Goswami, Niloy; Habib, Redowan; Shatil, Abu Hena MD; Ahmed, Kazi Firoz
The Automatic Voltage Regulator (AVR) is required to maintain a steady output voltage from the generator, and it relies heavily on the Proportional Integral Derivative (PID) controller. For the function of controlling industrial loops, a controller known as the PID controller is frequently used on account of its straightforward architecture, uncomplicated implementation, and excellent dependability. Traditional approaches to tuning the PID controller have their limits, but those limits may be overcome by incorporating more sophisticated tuning approaches. The main aim of this study is to provide the ideal design for tuning a PID controller using a Genetic Algorithm (GA) and an Artificial Neural Network (ANN) in order to further improve the PID-based AVR system. The performance of the suggested approach is afterward compared with one another. The results of a simulation carried out in MATLAB show that GA tuning techniques give better performance.
Smart Grid Prospects and Challenges in Bangladesh; A Distribution System Operator’s Viewpoint
(IEEE, 2021-09-08) Shatil, Abu Hena MD
Distribution Service Operators (DSOs) are critical in the future distribution system’s liberalized energy market. Apart from their primary responsibility of supplying electricity to consumers, DSOs, especially in Bangladesh, are being asked to provide infrastructure to enable customer-choice energy retail. To meet this challenge, traditional power generation grids are becoming smarter by integrating new information and communication technology into their service. This results in a higher-quality, quicker, and more efficient service for the customer while also enabling massive two-way data transmission between the consumer and the delivery service provider. This article provides an overview of the present state of affairs for power distribution operators in Bangladesh after the vertical unbundling of the Bangladeshi electricity industry and the privatization of DSOs. Additionally, the current position of DSOs is clarified, as are the operational technologies (OT) in use and their convergence with information technologies (IT), which constitute the first steps toward a smart grid capable of meeting future challenges.