Rakibuzzaman Shah
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View article: Probabilistic Resilience Enhancement of Active Distribution Networks Against Wildfires Using Hybrid Energy Storage Systems
Probabilistic Resilience Enhancement of Active Distribution Networks Against Wildfires Using Hybrid Energy Storage Systems Open
Wildfires pose significant threats to the resilience of distribution systems. Furthermore, the phenomenon of global warming is further intensifying their contribution to power outages. Thus, enhancing distribution system resilience against…
View article: Overcoming finite-time convergence of electric dynamic load simulator using modified super-twisting terminal sliding mode control
Overcoming finite-time convergence of electric dynamic load simulator using modified super-twisting terminal sliding mode control Open
View article: Application of Energy Storage Systems to Enhance Power System Resilience: A Critical Review
Application of Energy Storage Systems to Enhance Power System Resilience: A Critical Review Open
The growing frequency and severity of extreme events, both natural and human-induced, have heightened concerns about the resilience of power systems. Enhancing the resilience of power systems alleviates the adverse impacts of power outages…
View article: Application of Energy Storage Systems to Enhance Power System Resilience: A Critical Review
Application of Energy Storage Systems to Enhance Power System Resilience: A Critical Review Open
The growing frequency and severity of extreme events, both natural and human-induced, have heightened concerns about the resilience of power systems. Enhancing the resilience of power systems alleviates the adverse impacts of power outages…
View article: Application of Deep Learning Algorithms for Scenario Analysis of Renewable Energy-Integrated Power Systems: A Critical Review
Application of Deep Learning Algorithms for Scenario Analysis of Renewable Energy-Integrated Power Systems: A Critical Review Open
As the global shift towards renewable energy sources accelerates, the challenge of effectively modeling the inherent uncertainty associated with these energy units becomes increasingly significant. Sustainable energy sources, like solar an…
View article: A proximal splitting algorithm for generalized DC programming with applications in signal recovery
A proximal splitting algorithm for generalized DC programming with applications in signal recovery Open
View article: Application of Deep Learning Algorithms for Scenario Analysis of Renewable Energy-Integrated Power Systems: A Critical Review
Application of Deep Learning Algorithms for Scenario Analysis of Renewable Energy-Integrated Power Systems: A Critical Review Open
As the global shift towards renewable energy sources accelerates, the challenge of effectively modeling the inherent uncertainty associated with these energy units becomes increasingly significant. Sustainable energy sources, like solar an…
View article: Characterization of Energy Profile and Load Flexibility in Regional Water Utilities for Cost Reduction and Sustainable Development
Characterization of Energy Profile and Load Flexibility in Regional Water Utilities for Cost Reduction and Sustainable Development Open
Water utilities use a significant amount of electrical energy due to the rising demand for wastewater treatment driven by environmental and economic reasons. The growing demand for energy, rising energy costs, and the drive toward achievin…
View article: A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences
A Diffusion-Based Probabilistic Ultra-Short-Term Solar Power Prediction Using the Sky Image Sequences Open
The inherently unpredictable nature of solar power generation, primarily due to rapidly changing cloud cover, poses a significant challenge to the operation of solar-integrated energy systems. Accurate ultra-short-term PhotoVoltaic (PV) po…
View article: Comparative Analysis of Different Sliding Mode Control Approaches for Load Frequency Control in Edge of the Grid System
Comparative Analysis of Different Sliding Mode Control Approaches for Load Frequency Control in Edge of the Grid System Open
The integration of renewable energy sources (RESs) at the edge of the grid plays a contributory role in advancing the transition to a sustainable energy future. However, this transition introduces significant variability, which challenges …
View article: Hybrid Energy Storage Modeling and Control for Power System Operation Studies: A Survey
Hybrid Energy Storage Modeling and Control for Power System Operation Studies: A Survey Open
As the share of variable renewable energy sources in power systems grows, system operators have encountered several challenges, such as renewable generation curtailment, load interruption, voltage regulation problems, and frequency stabili…
View article: Prediction of fire danger index using a new machine learning based method to enhance power system resiliency against wildfires
Prediction of fire danger index using a new machine learning based method to enhance power system resiliency against wildfires Open
Wildfires, which can cause significant damage to power systems, are mostly inevitable and unpredictable. Fire danger indexes, such as the Forest Fire Danger Index (FFDI) and the Canadian Fire Weather Index (FWI), measure the potential wild…
View article: Techno-economic assessment of an industrial prosumer with biomass investment and time varying tariffs: An Australian case study
Techno-economic assessment of an industrial prosumer with biomass investment and time varying tariffs: An Australian case study Open
View article: Improving Discrete Optimisation Via Decoupled Straight-Through Gumbel-Softmax
Improving Discrete Optimisation Via Decoupled Straight-Through Gumbel-Softmax Open
Discrete representations play a crucial role in many deep learning architectures, yet their non-differentiable nature poses significant challenges for gradient-based optimization. To address this issue, various gradient estimators have bee…
View article: A proximal splitting algorithm for generalized DC programming with applications in signal recovery
A proximal splitting algorithm for generalized DC programming with applications in signal recovery Open
The difference-of-convex (DC) program is an important model in nonconvex optimization due to its structure, which encompasses a wide range of practical applications. In this paper, we aim to tackle a generalized class of DC programs, where…
View article: Low and medium voltage distribution network planning with distributed energy resources: a survey
Low and medium voltage distribution network planning with distributed energy resources: a survey Open
The penetration of distributed energy resources (DERs) such as photovoltaic systems, energy storage systems, and electric vehicles is increasing in the distribution system. The distinct characteristics of these resources, e.g., volatility …
View article: Fault classification and localization of multi-machine-based ieee benchmark test case power transmission lines using optimizable weighted extreme learning machine
Fault classification and localization of multi-machine-based ieee benchmark test case power transmission lines using optimizable weighted extreme learning machine Open
Accurate fault diagnosis in transmission lines is crucial to ensure the reliability and stability of power grids. Conventional approaches often rely on expert knowledge or complex feature extraction methods, which are subjective and time-c…
View article: A 3D Numerical Model to Estimate Lightning Types for PyroCb Thundercloud
A 3D Numerical Model to Estimate Lightning Types for PyroCb Thundercloud Open
Pyrocumulonimbus (pyroCb) thunderclouds, produced from extreme bushfires, can initiate frequent cloud-to-ground (CG) lightning strikes containing extended continuing currents. This, in turn, can ignite new spot fires and inflict massive ha…
View article: Optimum battery sizing, scheduling and demand management for microgrids using slime mould algorithm
Optimum battery sizing, scheduling and demand management for microgrids using slime mould algorithm Open
Optimum battery energy storage systems (BESS) sizing, scheduling, and demand response management (DRM) play an important role in maintaining the cost-effective and reliable operation of microgrids (MG). This paper presents a slime mould al…
View article: Active and reactive power injection of energy storage for short-term frequency stability in islanded power systems
Active and reactive power injection of energy storage for short-term frequency stability in islanded power systems Open
Fast frequency response (FFR) is crucial to enhance and maintain the frequency stability in power systems with high penetration of converter-interfaced renewable energy sources (RES). Active power based FFR reserves, such as energy storage…
View article: A 3D Numerical Model to Estimate Lightning Types for PyroCb Thundercloud
A 3D Numerical Model to Estimate Lightning Types for PyroCb Thundercloud Open
Pyrocumulonimbus (pyroCb) thunderclouds, produced from extreme bushfires, can initiate frequent cloud-to-ground (CG) lightning strikes containing extended continuing currents. This, in turn, can ignite new spotfires and inflict massive har…
View article: CEREI: An open-source tool for Cost-Effective Renewable Energy Investments
CEREI: An open-source tool for Cost-Effective Renewable Energy Investments Open
This paper presents the development of a tool that aims to help stakeholders make informed decisions to invest in renewable energy and understand the impact of different tariffs on the economic viability of renewable energy investments. Th…
View article: Low and Medium Voltage Distribution Network Planning with Distributed Energy Resources: A Survey
Low and Medium Voltage Distribution Network Planning with Distributed Energy Resources: A Survey Open
The penetration of distributed energy resources (DERs) such as photovoltaic systems, energy storage systems, and electric vehicles is increasing in the distribution system. The distinct characteristics of these resources, e.g., volatility …
View article: A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy
A Survey of Commercial and Industrial Demand Response Flexibility with Energy Storage Systems and Renewable Energy Open
The transition from traditional fuel-dependent energy systems to renewable energy-based systems has been extensively embraced worldwide. Demand-side flexibility is essential to support the power grid with carbon-free generation (e.g., sola…
View article: Wildfire Impacts on Security of Electric Power Systems: A Survey of Risk Identification and Mitigation Approaches
Wildfire Impacts on Security of Electric Power Systems: A Survey of Risk Identification and Mitigation Approaches Open
The increase of extremely hot days globally has led to more frequent wildfires and frequent power outages directly and indirectly caused by the wildfires. This has sought an urgency to investigate the power system security issues associate…
View article: Understanding the Aerosol Impact on the Electrification of Pyrocb Thunderstorm
Understanding the Aerosol Impact on the Electrification of Pyrocb Thunderstorm Open
View article: A Data-Driven Trajectory Approach for Dynamic VAr Support in Renewable Rich Power Grid
A Data-Driven Trajectory Approach for Dynamic VAr Support in Renewable Rich Power Grid Open
Short-term voltage stability (STVS) of power grids could be jeopardized due to the nonlinear dynamic characteristics of loads such as induction motors (IMs) and the retirement of synchronous generators. Moreover, the appearance of inverter…
View article: Energy Recovery From Polluted Water Using Capacitive Deionization Desalination System: A Review
Energy Recovery From Polluted Water Using Capacitive Deionization Desalination System: A Review Open
Capacitive deionization is used to purify water by applying an electric charge across two porous electrodes. These electrodes are positioned in a spacer channel that transports the desalinated water. Capacitive deionization is a more energ…
View article: A hydrogen supply-chain model powering Australian isolated communities
A hydrogen supply-chain model powering Australian isolated communities Open
This article proposes a supply chain-based green hydrogen microgrid modelling for a number of remote Australian communities. Green hydrogen can be used as an emissions-free fuel source for electricity generation in places where large-scale…
View article: A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems
A proximal subgradient algorithm with extrapolation for structured nonconvex nonsmooth problems Open
In this paper, we consider a class of structured nonconvex nonsmooth optimization problems, in which the objective function is formed by the sum of a possibly nonsmooth nonconvex function and a differentiable function with Lipschitz contin…