Jahangir Hossain

• Doctor of Engineering
• University of Technology Sydney

The increased sophistication of smart grids has generated significant interest in employing unmanned aerial vehicles (UAVs) to monitor the operational condition of insulators, especially in identifying insulator defects to avoid substantial power loss, shortened lifespan of power lines, and power outages. The classification process of insulator def...

The exponential rise of electric vehicles (EVs) is transforming the global automobile industry, driving a shift towards greater cleanliness and environmental sustainability. EV charging stations (EVCSs) play a pivotal role in this massive transition towards EVs, where accurate forecasting of EVCS demand is crucial for seamlessly integrating EVs int...

Dynamic line rating (DLR) forecasting is critical in the effective and economical utilization of overhead lines (OHLs) in smart grids, which facilitates the integration of renewable energy sources and reduces infrastructure upgrade costs. The forecasting techniques used for DLR rely on weather data collected from sensors as well as data communicati...

Sonohemical method for the degradation of toxic dyestuffs is now considered as a promising technique. An important dye namely Methylene Blue (MB) was degraded using ultrasound irradiation at different pH. The impact of various additives like CCl4, H2O2, NaCl and Na2SO4 with Original Research Article Islam et al.; Chem. Sci. Int. 81 different doses...

Due to the increasing use of renewable energy sources and the advancement of smart grid technology, bilateral energy transactions between prosumers have attracted significant interest as a potential solution for efficient and decentralized energy distribution. Prosumers can establish direct energy exchanges by utilizing internet of things (IoT) tec...

Forecasting wind power generation accurately is crucial for reliable, economical, and efficient integrations in smart grids, promoting applications of cleaner energy sources. Although effective wind power forecasting methods exist, power grids still require resilient schemes enabling accurate predictions under cyber-attacks. This paper introduces c...

In the urgent pursuit of sustainable development and the mitigation of global warming, a crucial transition to renewable energy models is imperative. To promote reliable and renewable energy for sustainable economic goals, this study introduces the Mixing and Exploring Algorithm (MEXA), a novel optimization algorithm designed for a hybrid microgrid...

Transmission lines, the core part of the transmission and distribution system in the smart grid, require effective, efficient, and reliable protective measures against faults to avoid severe damage to physical infrastructure and financial losses. Due to their growing popularity, machine learning models are used in fault detection and classification...

The cyber–physical infrastructure of a smart grid requires data-dependent artificial intelligence (AI)-based forecasting schemes for predicting different aspects for the short- to long-term, where AI-based schemes include machine learning (ML), deep learning (DL), and hybrid models. These forecasting schemes in different application areas of a smar...

Predictive maintenance, facilitated by smart devices and cyber infrastructure, is used for essential equipment like power transformers, enhancing power grid stability and reducing operating costs. As part of predictive maintenance, machine learning (ML) methods are employed to predict the remaining useful life (RUL) of power transformers, which can...

The emergence of electric vehicles is reshaping the energy landscape, requiring the development of innovative energy integration mechanisms to engage prosumers. However, current methods face numerous challenges when actively involving communities. Some key challenges include system uncertainties and time issues, optimizing charging strategies, real...

Over the years, all countries have agreed to alleviate the greenhouse effect and promote net zero carbon emissions [...]

The use of ultrasound was found to be a very suitable and effective method for the degradation of hazardous dyestuffs. The degradation of dye molecules in aqueous media in the presence of various additives by ultrasonic irradiation was investigated in order to clarify the degradation Original Research Article Islam et al.; Int. Res. 2 mechanism. In...

Purpose This paper explores the potential for family businesses (FBs) to play a pivotal role in advancing the United Nations (UN) Sustainable Development Goals (SDGs). It seeks to elucidate how FBs' inherent strengths and values can be harnessed to integrate sustainable practices within their operational paradigms. Design/methodology/approach The...

This article presents a quasi-resonant converter (QRC) with multiple sources. A QRC has many benefits, such as high gain, constant current, and nominal voltage stress on MOSFET, with an up to 49% duty cycle with fewer switches. These features of the converter make it suitable for electrical vehicle (EV) off-board charging, which requires significan...

The Australian government released its long-term emissions reduction plans in achieving net zero emissions by 2050. By enabling companies to plan their path to net zero, this project has led first steps in helping them to convert promises into action. The project surveyed current practice in devising and meeting Greenhouse Gas (GHG) reduction targ...

An improved segment reduction-based space vector pulse width modulation (SVPWM) for an F-type three-level inverter (FT2LI) is presented in this article. The proposed SVPWM algorithm decreases the additional switching state transition of each triangle with the application of an improved nine- and three-segment reduction switching strategy. The main...

A number of textile industries are using different types of dyes which can be a threat to the environment when they are directly exposed without any treatment. The advanced oxidation process (AOP) has become one of the popular methods in which the dye molecules are degraded using microwave irradiation. This method has become popular due to its eco-...

This opportunity assessment reports on the state-of-the-art of Local Distributed Energy Resource (DER) Networks Solutions in Australia and aimed to identify the knowledge gaps in relation to the growth of renewable energy in local distribution networks that require attention from the research community.

Hydrogen is emerging as a crucial component for the advancement and integration of renewable energy sources (RESs) within modern power systems. It plays a vital role as an energy storage system (ESS), ensuring stability and reliability in the power grid. Due to its high energy density, large storage capacity, and fast operational capabilities, hydr...

This paper presents an improved SOC estimation method for lithium ion batteries in Electric Vehicles using Bayesian optimized feedforward network. This innovative bayesian optimized neural network method attempts to minimize a scalar objective function by extracting hyperpa-rameters (hidden neurons in both layers) using a surrogate model. Furthemor...

This paper presents an improved SOC estimation method for lithium ion batteries in Electric Vehicles using Bayesian optimized feedforward network. This innovative bayesian optimized neural network method attempts to minimize a scalar objective function by extracting hyperpa-rameters (hidden neurons in both layers) using a surrogate model. Furthemor...

This paper presents an improved SOC estimation method for lithium ion batteries in Electric Vehicles using Bayesian optimized feedforward network. This innovative bayesian optimized neural network method attempts to minimize a scalar objective function by extracting hyperpa-rameters (hidden neurons in both layers) using a surrogate model. Furthemor...

This paper presents an improved SOC estimation method for lithium ion batteries in Electric Vehicles using Bayesian optimized feedforward network. This innovative bayesian optimized neural network method attempts to minimize a scalar objective function by extracting hyperpa-rameters (hidden neurons in both layers) using a surrogate model. Furthemor...

Increasing power demand, aging distribution systems and concerns towards greenhouse gas emissions have resulted in the increased occurrence of distributed generation (DG) within distribution networks. The conventional protection methods designed for passive radial distribution networks may become redundant with large bidirectional power flow and dy...

Distribution network operators face technical and operational challenges in integrating the increasing number of distributed energy resources (DER) with the distribution network. The hosting capacity analysis quantifies the level of power quality violation on the network due to the high penetration of the DER, such as over voltage, under voltage, t...

In the future grid scenario, the continuous operation of large-capacity remote power transmission over an augmented DC network is imperative for implementing a reliable multi-terminal high voltage direct current (MT-HVDC) grid or, alternatively, an MTDC grid. A fast and selective DC fault identification method with improved reliability eventually e...

There are numerous opportunities and challenges in integrating multiple energy sources, for example, electrical, heat, and electrified transportation. The operation of multi-energy sources needs to be coordinated and optimized to achieve maximum benefits and reliability. To address the electrical, thermal, and transportation electrification energy...

Multi-carrier energy systems are defined as a concept within the energy hub notion. The energy hub operator aims to investigate maximizing the system profit through strategic behaviors and optimal bidding when participating in joined energy markets containing natural gas and electric power. Bi-level programming is applied for such conditions dividi...

The dual active bridge (DAB) converters have the capability of handling high power in compact form and it is one of the key elements for interconnecting different dc microgrid clusters. A DAB also offers bidirectional power transfer with galvanic isolation between two power buses of similar or different voltage levels, i.e., low voltage and high vo...

This report is the output of a project focused on interlinked challenges and opportunities – providing low-cost visibility of the low-voltage network, assessing and communicating the grid’s limits, and mainstreaming customer DER network support – and developing a research roadmap to navigate them. The purposes of the project and this report are to...

Distributed energy sources (DES) including renewable energy (RE) sources and EV discharging offers opportunities to improve grid performance.Though uncoordinated electric vehicle (EV) charging meets driving needs, it brings great challenges in maintaining the quality of low voltage (LV) distribution grids. Most existing EV control strategies do not...

A reduced switching components step-up multilevel inverter (RSCS-MLI) is presented in the paper. The basic circuit of the proposed MLI can produce 11 levels in the output voltage with a reduced number of switching components. The other features of the proposed circuit include a low value of voltage stresses and the inherent generation of the voltag...

Demand response resources (DRRs) have been recently introduced as one of the most economic tools of congestion alleviation in power systems. Nevertheless, the severe uncertainty of multiple DRRs constituting a demand response firm (DRF) is an indispensable issue to be considered for the resilient operation of future power systems. Consequently, the...

With the increasing number of renewable generations, the prospects of long-distance bulk power transmission impels the expansion of point-to-point High Voltage Direct Current (HVDC) grid to an emerging Multi-terminal high-voltage Direct Current (MTDC) grid. The DC grid protection with faster selectivity enhances the operational continuity of the MT...

Report is accessible on https://www.racefor2030.com.au/publications/ This report has been prepared by the authors at the request of the Reliable Affordable Clean Energy for 2030 Cooperative Research Centre (RACE for 2030 CRC). In Australia, industry consumes nearly half of the total end use energy, out of which, 37% is used in process heat, repres...

A reduced-order model of a converter-dominated microgrid system may not resemble its full-order system associated with uncertainties. This paper aims to provide a singular perturbation-based contraction framework for model order reduction in converter-dominated uncertain microgrid systems. For this purpose, the concerned microgrid system is modeled...

The efficacy of long-distance and bulk power transmission largely depends on the efficient control and reliable operation of a multiterminal high-voltage direct current (MT-HVdc) grid, more precisely, a meshed HVdc grid. The capability of enduring the dc grid fault eventually enhances the reliability and improves the dynamic performance of the grid...

-To maximize renewable energy usage to combat climate change, the penetration of electric vehicles (EVs) has increased significantly in developed countries. This can cause serious power quality issues, such as increased voltage imbalance and neutral currents, which severely impact the operation of power systems. Although the power quality issue is...

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Multi-carrier energy systems have received wide attentions due their flexibility and sustainable characteristics. Although these systems show significant efficiency in providing and consuming energy, the performance of the whole system can be degraded owing to uncertainties arising from different sources. This paper presents a stochastic decentrali...

Parking lots (PLs) equipped with electric vehicle (EV) chargers will be the most convenient places for EV users to charge their cars. However, there is a high degree of unpredictability around how car parks are used, especially shopping centre parking lots (SCPLs). Moreover, the cluster charging of EVs in PLs may destabilise the grid. The applicati...

The accurate prediction of the distribution load demand data is the corner stone of future planning of the power system networks and energy management strategies and policies. This paper presents a long short-term memory (LSTM) neural networks model to predict the distribution zone substation peak demand data in New South Wales state, Australia for...

Optimizing the scheduling of heating, ventilation, and air-conditioning (HVAC) systems in multizone buildings is a challenging task, as occupants in various zones have different thermal preferences dependent on time-varying indoor and outdoor environmental conditions and price signals. Price-based demand response (PBDR) is a powerful technique that...

The increasing penetration of distributed energy sources (DES) such as photovoltaic (PV) solar power, battery energy systems (BESs) and electric vehicles (EVs) into low voltage distribution networks is creating serious challenges for distribution network operators (DNOs). Uncertain nature of these DES and EV charging is a key factor to cause unbala...

Frequency stability control in multiple asynchronous grids is a challenging and complex issue. An adaptive droop control strategy to improve the frequency regulation of asynchronous AC areas connected by a multi‐terminal DC grid is proposed here. The droop coefficients are adjusted to share the active power adaptively among multiple asynchronous AC...

The increasing penetration of distributed generations (DGs) and electric vehicles (EVs) offers not only several opportunities but also introduces many challenges for the distribution system operators (DSOs) regarding power quality. This article investigates the network performances due to uncoordinated DG and EV distribution. It also considers powe...

This study presents an improved power management and control coordination strategy for autonomous hybrid microgrids (MGs). The new strategy aims to reduce the continuous operation of interlinking converters (ILCs) under all load conditions, and thereby avoids the significant power loss on the ILCs that adversely affects the operational feasibility...

Dynamic voltage instability (DVI) issues are the primary concern in low-voltage distribution network (DN) due to growing integration of low-inertia compressor motor loads such as air-conditioner and refrigerator. The concern of DVI is likely to increase owing to high penetration of rooftop type single-phase photovoltaic (PV) units in DN. On the oth...

This paper presents an optimal scheduling model for Demand Response (DR) based Home Energy Management System (HEMS) that schedules residential electrical appliances and Distributed Energy Resource (DER) units for active residential consumers. The scheduling problem is formulated using Mixed-Integer Linear Programing (MILP). The primary objective of...

BACKGROUND OR CONTEXT The classroom response system (CRS) is one of the methods of blended learning combined with the best features of face-to-face interaction and it is increasingly used in different developed countries including Australia. In brief, a CRS consists of a radio signal transmitter or “clicker” in hand of the students/audience by whic...

Timber poles are widely used for distributing electricity in rural areas, mainly in developing countries. The improved reliability of timber poles is extremely important as the breakdown or failure of any one of these poles can result in millions of dollars in lost revenue and restoration costs. The losses can include production loss, loss of prope...

Radio spectrum is one of the most scarce and valuable resources in wireless communications. Given this fact, new insights into the use of spectrum have challenged the traditional static spectrum allocation approach to spectrum management. Actual measurements have shown that most of the allocated spectrum is largely underutilized [1]. The Spectrum-P...