- Power Systems Fault Detection
- Power Line Communications and Noise
- Energy Load and Power Forecasting
- Islanding Detection in Power Systems
- Smart Grid Energy Management
- Electrical Fault Detection and Protection
- Solar Radiation and Photovoltaics
- Microgrid Control and Optimization
- Energy Harvesting in Wireless Networks
- HVDC Systems and Fault Protection
- Electromagnetic Compatibility and Noise Suppression
- Lightning and Electromagnetic Phenomena
- Electric Power System Optimization
- Smart Grid Security and Resilience
- Power Transformer Diagnostics and Insulation
- Magnetic Properties and Applications
- Speech and Audio Processing
- Electrical Contact Performance and Analysis
- PAPR reduction in OFDM
- Advanced Adaptive Filtering Techniques
- IoT Networks and Protocols
- Wireless Communication Networks Research
- Infrared Target Detection Methodologies
- Mobile Ad Hoc Networks
- Energy Efficient Wireless Sensor Networks
University of New Brunswick
2015-2025
University of Fredericton
2024
Sultan Qaboos University
2023
Golder Associates (Canada)
1996
With increased penetration of solar as a variable energy resource (VER), photovoltaic (PV) power production is rapidly increasing into large-scale industries. Since output PV systems depends critically on the weather, unexpected variations their may increase operating costs system. Moreover, major barrier in integrating this VER grid its unpredictability, since steady cannot be guaranteed at any particular time. This biases utilities against using planning and overall balancing becomes very...
This paper presents a novel hybrid intelligent algorithm utilizing data filtering technique based on wavelet transform (WT), an optimization firefly (FF) algorithm, and soft computing model fuzzy ARTMAP (FA) network in order to forecast day-ahead electricity prices the Ontario market. A comprehensive comparative analysis with other models shows significant improvement error by more than 40% for daily weekly price forecasts, through application of proposed <formula formulatype="inline"...
The introduction of load-side control actions, to implement smart grid functions or integrate distributed generation units, has created a new source for power system dynamic events. Such events can have the capacity adversely impact stability in systems. growing interests actions mandate analysis and modeling their contribution voltage frequency dynamics This paper presents analysis, development, testing voltage-survivability based method contributions stability. developed is structured...
Geomagnetically induced currents (GICs) are quasi-dc that flow through grounding circuits into power systems. These triggered by geomagnetic disturbance events, and systems grounded, system components, including 3ϕ auto-transformers. A GIC a auto-transformer can lead to high levels of harmonic distortion in currents, overheating windings, significant increase reactive demands. The severity impacts on be dependent the core design, winding configuration, circuit, current. This paper discusses...
Certain parts of the world can experience active geomagnetic disturbances, which trigger geomagnetically induced currents (GICs) to flow through grounding circuits into power systems. Such are quasi-dc that have large magnitudes capable inflecting damage system equipment. Power transformers among vulnerable equipment GIC flows, cause harmonic distortion, disruption in reactive flow, and thermal transformer windings. Adverse effects flows be minimized by developing a fast, accurate, reliable...
Geomagnetic disturbances can trigger large geomagnetically induced currents (GICs) to flow into power systems through grounded equipment. Several studies identify transformers (with windings) as the main path for GIC flows systems. The of a (dominated by dc component) windings transformer lead severe impacts on its functionality, such significant increases in reactive demands, high levels current harmonic distortions, and possible thermal damages. This article presents case analyses...
Geomagnetic disturbances trigger quasi-dc currents that flow through grounding circuits into power systems, mostly transformers. Geomagnetically-induced (GICs) can cause severe harmonic distortions, disruption in reactive flow, and/or thermal damage to These adverse effects of GIC flows on transformers depend the magnitude, transformer core design, circuit, and winding configuration. This paper analyzes circuit designs impacts are analyzed experimental tests carried out using laboratory 3ϕ,...
This paper experimentally evaluates responses of ground fault protection for synchronous generators, which are grounded using frequency-selective grounding. Frequency-selective grounding is designed to provide a low impedance path (similar solid grounding) high frequency zero-sequence current components. system also provides an similar low-resistance The frequency-dependent equivalent can affect potential and current, typically used as inputs protective relays. Effects on evaluated 7.5 kVA...
This paper presents performance assessment of ground fault protection for systems supplied by a transformer, which has frequency-selective grounding. Frequency-selective grounding is new system that designed to act as solid-grounding high frequency currents, and low resistance-grounding currents. composed from parallel <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$R-C$</tex-math></inline-formula> circuit...
Geomagnetically induced currents (GICs) are dominated by dc components that flow through grounding circuits into power systems. These typically initiated geomagnetic disturbances, and systems transformers with grounded windings. The of a GIC transformer creates adverse impacts, including high levels harmonic distortion in the flowing windings, overheating significant disruptions reactive affected transformer. Adverse impacts GICs on depend various factors, among which core design...
One of the requirements for safe, stable, sustainable, and profitable operation doubly fed induction generators (DFIGs)-based wind energy conversion systems (WECSs) is accurate reliable protection against electrical faults, in particular, ground faults. The performance protective devices employed to achieve this requirement highly dependent on grounding configuration DFIG-based WECS. This paper investigates impacts used protect DFIGs-based WECSs from Investigated configurations include solid...
This research explores the potential of Machine Learning (ML) to enhance wireless communication networks, specifically in context Wireless Smart Grid Networks (WSGNs). We integrated ML into well-established Routing Protocol for Low-Power and Lossy (RPL), resulting an advanced version called ML-RPL. novel protocol utilizes CatBoost, a Gradient Boosted Decision Trees (GBDT) algorithm, optimize routing decisions. The model, trained on dataset metrics, predicts probability successfully reaching...
Power systems (including industrial and commercial power systems) widely utilize digital protective relays for component system protection. These devices have shown numerous operational advantages over conventional electromagnetic devices. Such include the accuracy, reliability, response speed, interoperability, weight, size. Performance of are typically dependent on resolution their input data, as well algorithms fault detection identification. This article assesses performance time-based,...
The introduction of load-side control actions, to implement smart grid functions or integrate distributed generation units, has created a new source for power system dynamic events. Such events can have the capacity adversely impact stability in systems. growing interests actions mandate analysis and modeling their contribution voltage frequency dynamics This paper presents analysis, development, testing voltage-survivability based method contributions stability. developed is structured...
This paper presents a novel hybrid intelligent algorithm based on the wavelet transform (WT) and fuzzy ARTMAP (FA) network for forecasting power output of wind farm utilizing meteorological information such as speed, direction, temperature. The prediction capability proposed WT +FA model is demonstrated by an extensive comparison with benchmark persistence method, other soft computing models, models well. test results show significant improvement in error through application model. strategy...
In this paper, the performance of a passive anti-islanding method is experimentally tested for three phase (3φ) cogeneration systems. The based on determining wavelet packet transform (WPT) high-frequency subbands present in d-q-axis components instantaneous 3 <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">q</sub> apparent powers (s xmlns:xlink="http://www.w3.org/1999/xlink">d</sub> and s ), when evaluated at point common coupling (PCC). This...
Geomagnetically induced currents (GICs) flow through grounding circuits into power systems, when triggered by geomagnetic disturbances. Power transformers (with connections) are the primary path for GIC flows systems. The of GICs a transformer can create adverse impacts on its operation, including large increases in reactive demands and significant harmonic distortions side currents. This article presents case studies analyses transformers. Presented conducted two with different core types,...
Geomagnetically induced currents (GICs) are dominated by dc components that flow through grounding circuits into power systems. These typically initiated geomagnetic disturbances, and systems transformers with grounded windings. The of a GIC transformer creates adverse impacts, including high levels harmonic distortion in the flowing windings, overheating significant disruptions reactive affected transformer. Adverse impacts GICs on depend various factors, among which core design...
This paper presents a new strategy for wind speed forecasting based on hybrid machine learning algorithm, composed of data filtering technique wavelet transform (WT) and soft computing model the fuzzy ARTMAP (FA) network. The prediction capability proposed WT+FA is demonstrated by an extensive comparison with some other existing methods. results show significant improvement in error through application model. applied to real acquired from North Cape farm located PEI, Canada.
Wind energy is an important cornerstone of a non-polluting and sustainable electricity supply. In practice, the integration significant wind into existing supply system challenge due to stochastic nature power. To be able effectively integrate power grid systems, accurate short-term speed forecasting essential. Statistical soft computing models are mainly used for physical fluid model long-term forecasting. Soft commonly suggested data independency handling non-linear systems. Fuzzy ARTMAP,...
A pilot project is underway in New Brunswick, Canada, to demonstrate direct control of thermostatically controlled loads as a means providing ancillary services. This paper will focus on one the load classes, aggregated domestic electric water heaters (DEWHs) shifting profiles. The approach not only strives satisfy utility level objectives by curtailing individual DEWHs strategic manner but also takes account thermal dynamics and estimates hot usage an attempt maintain customer comfort...