Explanipedia

Machine Learning-Based Estimation of Oil Recovery Factor Using XGBoost: Insights from Classification and Data-Driven Analyses Open

Alireza Roustazadeh, Frank Male, Behzad Ghanbarian, Mohammad B. Shadmand, Vahid Taslimitehrani , et al. · 2025

In petroleum engineering, it is essential to determine the ultimate recovery factor (RF) particularly before exploitation and exploration. However, accurately estimating requires data that may not be necessarily available or measured at ea…

AI-Based Control Scheme for Resilient Grid-Forming Inverters Under DC Link Voltage Disturbances Open

Reza Behnam, Uzair Asif, Mohammad B. Shadmand · 2025

For the integration of distributed energy resources into the power grid, grid-forming inverters (GFMIs) play a key role due to their voltage support capability. However, the low-inertia inverter-based generation can pose stability challeng…

Optimum Partition of Power Networks Using Singular Value Decomposition and Affinity Propagation Open

Maymouna Ez Eddin, Mohamed Massaoudi, Haitham Abu‐Rub, Mohammad B. Shadmand, Mohamed Abdallah · 2024

Due to coupling and correlation between nodes and buses in the power system, Power Grid Partitioning (PGP) is a promising approach to analyze large power systems and provide timely actions during disturbances. From this perspective, this p…

Resilient Operation of Grid-Forming Inverters Under Large-Scale Disturbances in Low Inertia Power System Open

Muhammad F. Umar, Amirhosein Gohari, Mohammad B. Shadmand, Haitham Abu‐Rub · 2024

The future power grid is transitioning toward a low inertia power system due to the displacement of synchronous generators (SG)-based generation sources and incorporating inverters-based renewable energy resources. Heterogeneous grid-formi…

Optimal Utilization of Battery Sources in Cascaded H-Bridge Inverter by Coordinated Sequence Selection Open

Amirhosein Gohari, Hassan Althuwaini, Mohammad B. Shadmand · 2023

With ever increasing grow of inverter-based generation, energy storage systems that can support the grid during load and generation disturbances become vital for stable and resilient operation of the grid. Battery energy storage systems (B…

On Design Challenges of Portable Nuclear Magnetic Resonance System Open

Mohsen Hosseinzadehtaher, Silvanus D’silva, Matthew Baker, Ritesh Kumar, Nathan T. Hein , et al. · 2023

This article studies the optimal design approach for a portable nuclear magnetic resonance (NMR) system for use in non-destructive flow measurement applications. The mechanical and electromagnetic design procedures were carried out using t…

AI-Based Technique to Enhance Transient Response and Resiliency of Power Electronic Dominated Grids via Grid-Following Inverters Open

Mohsen Hosseinzadehtaher, Alireza Zare, Ahmad Khan, Muhammad F. Umar, Silvanus D’silva , et al. · 2023

This paper presents a frequency restoration method to enhance power electronic dominated grid (PEDG) resiliency and transient response via re-defining grid following inverters (GFLIs) role at the grid-edge. An artificial intelligence-based…

Towards Resiliency Enhancement of Network of Grid-Forming and Grid-Following Inverters Open

Silvanus D’silva, Alireza Zare, Mohammad B. Shadmand, Sertaç Bayhan, Haitham Abu‐Rub · 2023

This article proposes an autonomous control scheme to mitigate voltage–frequency excursions observed in a network of grid-forming (GFM) and grid-following (GFL) inverters in a power-electronics-dominated grid (PEDG). The proposed control s…

Hierarchical Model-Predictive Droop Control for Voltage and Frequency Restoration in AC Microgrids Open

Iresha Poonahela, Abdelbasset Krama, Sertaç Bayhan, Ugur Feslı, Mohammad B. Shadmand , et al. · 2023

The hierarchical control structure was introduced to allow the integration of power-electronics-based distributed generation into the microgrid in a smart and flexible manner. The main aim of the primary controller in such a structure is t…

Preventing Stealthy Attacks on Power Electronics Dominated Grids Open

Stephanie Harshbarger, Mohsen Hosseinzadehtaher, Alireza Zare, Amin Y. Fard, Mohammad B. Shadmand , et al. · 2023

Stealthy zero-dynamics attacks are a subset of false data injection attacks (FDIAs) that are especially dangerous, as they are designed to be undetectable by any intrusion detection mechanisms. This paper shows that stealthy attacks can be…

Real-Time AI-Based Anomaly Detection and Classification in Power Electronics Dominated Grids Open

Matthew Baker, Amin Y. Fard, Hassan Althuwaini, Mohammad B. Shadmand · 2022

Real-time anomaly detection system (ADS) and anomaly classification system (ACS) techniques are becoming a crucial need for future power electronic dominated grid (PEDG). Artificial intelligence techniques such as recurrent neural networks…

Challenges and advances in measuring sap flow in agriculture and agroforestry: A review with focus on nuclear magnetic resonance Open

Ritesh Kumar, Mohsen Hosseinzadehtaher, Nathan T. Hein, Mohammad B. Shadmand, S. V. Krishna Jagadish , et al. · 2022

Sap flow measurement is one of the most effective methods for quantifying plant water use.A better understanding of sap flow dynamics can aid in more efficient water and crop management, particularly under unpredictable rainfall patterns a…

Estimating oil recovery factor using machine learning: Applications of XGBoost classification Open

Alireza Roustazadeh, Behzad Ghanbarian, Frank Male, Mohammad B. Shadmand, Vahid Taslimitehrani , et al. · 2022

In petroleum engineering, it is essential to determine the ultimate recovery factor, RF, particularly before exploitation and exploration. However, accurately estimating requires data that is not necessarily available or measured at early …

Estimating oil and gas recovery factors via machine learning: Database-dependent accuracy and reliability Open

Alireza Roustazadeh, Behzad Ghanbarian, Mohammad B. Shadmand, Vahid Taslimitehrani, Larry W. Lake · 2022

With recent advances in artificial intelligence, machine learning (ML) approaches have become an attractive tool in petroleum engineering, particularly for reservoir characterizations. A key reservoir property is hydrocarbon recovery facto…

Enabling Aggregation of Heterogenous Grid-Forming Inverters via Enclaved Homogenization Open

Muhammad F. Umar, Mohsen Hosseinzadehtaher, Mohammad B. Shadmand · 2022

This paper proposes a control scheme to force homogeneity for heterogenous network of the grid-forming (GFM) inverters in power electronics dominated grid (PEDG) to enable their aggregation and coherent dynamic interaction. Increased penet…

Intrusion Detection System for Multilayer-Controlled Power Electronics-Dominated Grid Open

Ahmad Khan, Mohammad B. Shadmand, Sudip K. Mazumder · 2022

This article presents an intrusion detection system (IDS) for a multi-layer-controlled power electronics-dominated grid (PEDG). This IDS improves the situational awareness of PEDG against malicious set-points from a compromised upper contr…

A Review of Cyber–Physical Security for Photovoltaic Systems Open

Jin Ye, Annarita Giani, Ahmed Elasser, Sudip K. Mazumder, Chris Farnell , et al. · 2021

In this article, the challenges and a future vision of the cyber-physical security of photovoltaic (PV) systems are discussed from a firmware, network, PV converter controls, and grid security perspective. The vulnerabilities of PV systems…

Rank-Based Predictive Control for Community Microgrids With Dynamic Topology and Multiple Points of Common Coupling Open

Brevann Nun, Muhammad F. Umar, Anas Karaki, Mohammad B. Shadmand, Sertaç Bayhan , et al. · 2021

This article presents a rank-based model predictive control (MPC) scheme for voltage source converters (VSCs) operating in a low voltage, AC community microgrid with dynamically changing topology.The advent of mesh distribution networks wi…

Single-Phase Grid-Interactive Inverter With Resonance Suppression Based on Adaptive Predictive Control in Weak Grid Condition Open

Muhammad F. Umar, Mitchell Easley, Brevann Nun, Ahmad Khan, Mohammad B. Shadmand , et al. · 2021

This article presents an effective resonance suppression control for grid-interactive inverters with LCL filter in weak grid conditions.The resonance suppression mechanism is based on an adaptive model predictive control (AMPC).The large p…

Computationally-Efficient Optimal Control of Cascaded Multilevel Inverters With Power Balance for Energy Storage Systems Open

Mitchell Easley, Mohammad B. Shadmand, Haitham Abu‐Rub · 2021

This article proposes an optimal current control technique with switching event minimization for grid-interactive cascaded multilevel inverters (CMI) interfaced with battery energy storage sources. The proposed control scheme enables power…

An Effective Finite Control Set-Model Predictive Control Method for Grid Integrated Solar PV Open

Iresha Poonahela, Sertaç Bayhan, Haitham Abu‐Rub, Miroslav M. Begovic, Mohammad B. Shadmand · 2021

The grid integration of a photovoltaic solar system operating with maximum power point tracking is being presented in this paper. The system uses a dc-dc converter for power tracking while employing finite control set model predictive cont…

Multitimescale Three-Tiered Voltage Control Framework for Dispersed Smart Inverters at the Grid Edge Open

Amin Y. Fard, Mohammad B. Shadmand · 2020

Voltage control schemes are being employed to guarantee that the voltage across the grid stays within the predefined boundaries. Growing number of smart PV-based inverters (SPVIs) necessitates cutting-edge control schemes to ensure address…

Decoupled Active and Reactive Power Control without PLL Requirement for Differential Buck Converter Open

Ahmad Khan, Mohsen Hosseinzadehtaher, Mitchell Easley, Mohammad B. Shadmand, Haitham Abu‐Rub · 2020

This paper presents a decoupled active and\nreactive power control for the differential buck converter. This\ncontrol does not require phase locked loop (PLL) for\nsynchronization. Also, it achieves active and reactive power\ncontrol in a …

Resonance Suppression based on Predictive Control of Grid-following Inverters with LCL Filter in Weak Grid Condition Open

Muhammad F. Umar, Ahmad Khan, Mitchell Easley, Silvanus D’silva, Brevann Nun , et al. · 2020

This paper presents an effective resonance\nsuppression control when grid interactive inverter with LCL filter\nexperience weak grid conditions. The resonance suppression\nmechanism is based on finite-set model predictive control (FSMPC)\n…

Hierarchical Model Predictive Control of Grid-Connected Cascaded Multilevel Inverter Open

Mitchell Easley, Mohammad B. Shadmand, Haitham Abu‐Rub · 2020

This article presents a hierarchical finite-set model predictive control (MPC) scheme to enable autonomous operation and self-balancing cascaded multilevel inverter. The proposed approach is an alternative to MPC scheme based on a generic …

Self-Healing Predictive Control of Battery System in Naval Power System With Pulsed Power Loads Open

Mohsen Hosseinzadehtaher, Ahmad Khan, Mitchell Easley, Mohammad B. Shadmand, Poria Fajri · 2020

This article presents a model predictive self-healing control (MPSC) scheme for battery system interfaced dual active bridge (DAB) converter in navy ship power system (NSPS) with pulsed power loads (PPLs). The voltage and frequency of NSPS…

Cooperative Model Predictive Control Scheme for Dispersed Smart Inverters at the Grid Edge Open

Amin Y. Fard, Mohammad B. Shadmand · 2020

Growing number of distributed energy resources\n(DERs) requires cutting-edge control schemes to ensure uniform\nbut not identical involvement of DERs to address rapid\nfluctuations on voltage of the grid clusters. Designing such control\ns…

A Stabilizer based Predictive Control Scheme for Smart Inverters in Weak Grid Open

Muhammad F. Umar, Ahmad Khan, Mohammad B. Shadmand · 2020

This paper presents a self-stabilization mechanism\nbased on finite-set model predictive control (FCS-MPC)\nframework for smart inverters operating in weak grid conditions.\nAs weak grid’s large parasitic impedance and low short-circuitrat…

Current Observer Based Predictive Decoupled Power Control Grid-Interactive Inverter Open

Zhen Zhang, Adepoju Webster Oluwafemi, Mohsen Hosseinzadehtaher, Mohammad B. Shadmand · 2020

This paper presents a sensor-less current model predictive control (MPC) scheme via a full state observer based current estimator. The grid interactive inverters’ control schemes require current and voltage sensors. Elimination of current …

A Power Ripple Compensator for DC Nanogrids via a Solid-State Converter Open

Ahmad Khan, Mohammad B. Shadmand, Sertaç Bayhan, Haitham Abu‐Rub · 2020

This paper presents a method for improving the reliability of DC nanogrids by decreasing the input capacitance requirement. The nanogrid DC bus capacitance requirement is reduced by utilizing the zero-sequence operation mode of the solid s…

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