- Electrical Fault Detection and Protection
- Microgrid Control and Optimization
- Advanced DC-DC Converters
- Real-time simulation and control systems
- Smart Grid Security and Resilience
- Multilevel Inverters and Converters
- Electrostatic Discharge in Electronics
- Integrated Circuits and Semiconductor Failure Analysis
- Advanced Battery Technologies Research
- HVDC Systems and Fault Protection
- Fault Detection and Control Systems
- Electric Vehicles and Infrastructure
- Advanced Statistical Process Monitoring
- Silicon Carbide Semiconductor Technologies
- Power Systems Fault Detection
- Smart Grid Energy Management
- Control Systems and Identification
- Fuel Cells and Related Materials
- Electric and Hybrid Vehicle Technologies
- Electromagnetic Launch and Propulsion Technology
- Reliability and Maintenance Optimization
- ICT Impact and Policies
- High-Voltage Power Transmission Systems
- Optimal Power Flow Distribution
- Modeling and Simulation Systems
University at Buffalo, State University of New York
2018-2025
Rochester Institute of Technology
2017
La Rochelle Université
2017
Imperial College London
2017
University of Sheffield
2017
National Taiwan University
2016
University of Dayton
2015-2016
The Ohio State University
2011-2015
Universidad Autónoma de Ciudad Juárez
2014
Centro de Investigación y Docencia Económicas
2013
DC microgrids consist of multiple power electronic converter units interconnected in a network with sources and loads. They are commonly found the systems electric ships, aircrafts, etc. The main focus this paper is to study stability converters-based dc microgrids. These high switching frequency electronics controlled way as maintain constant voltage, current, or load. Due their bandwidth, they can be simplified For reason, nonlinear system arises where it no longer satisfactory assume...
DC arc fault introduces major safety concerns in a wide variety of components dc networks. However, the randomness and instability makes it difficult to be detected. In this paper, an experimental system was designed tested at different load current, source voltage, gap length evaluate impact each parameter arc. Based on results, characteristics electrical behavior were studied detection oriented analysis conducted. A algorithm utilizing both time time-frequency domain proposed differentiate...
This paper presents a real-time simulation platform for smart grid applications. The developed is capable of simulating complex models with large numbers high-speed switching devices at real time. Furthermore, an integrated approach adopted to combine simulations communication systems and electric power together, which provides effective examine distributed control related issues in grids. With the flexibility representing wide range network configurations, can also be used evaluate...
DC microgrids consist of multiple power electronic converter units interconnected in a network with sources and loads. They arise naturally the systems electric ships, aircrafts, etc. The main focus this work is to study stability converters based dc microgrids. These high switching frequency electronics are controlled way as maintain constant voltage, current, or load. Due their bandwidth, they can be simplified For reason, nonlinear system arises where it no longer satisfactory assume...
Real-time (RT) simulation plays a fundamental role in the design and validation of hardware software for power electronic converters electric drives. In this paper, field-programmable gate array (FPGA)-based RT platform machines is presented. Strategies modeling devices are explained compared. addition, Thevenin-based equivalent model switch enhanced to on characteristics these devices. This motivates an electrothermal algorithm FPGA implementation. With respect machines, different methods...
This paper evaluates possible impacts of series dc arc faults to microgrids. Series can happen at various locations a microgrid and is associated with high impedance low fault current level, which adds difficulty detection protection. firstly presents modeling both component frequency noise component. With the model, impact are then studied. Two different controllers adopted study interaction between controllers. It found that voltage control strategies have adverse certain be very difficult...
DC networks are becoming more popular in a wide range of applications. However, the difficulty detecting and localizing high-impedance series arc fault presents, major challenge slowing wider deployment dc networks/microgrids. In this article, Kalman filter (KF)-based algorithm to monitor operation microgrid by estimating line admittances consequently detecting/localizing faults is introduced. The proposed uses voltage current samples from nodes distribution network estimate admittances. By...
DC arc fault introduces major safety concerns in a wide variety of power electronic applications. However, the randomness and instability dc makes it difficult to be detected. In this paper, an experimental system study characteristics series is designed different tests were conducted order determine influence factors such as gap length, current, etc. During experiments, load current was varied from 6 A 30 A, source voltage changed 75 V 300 V. Also, test with fixed supply but changing length...
This paper presents the design guideline of a bidirectional isolated Ćuk converter with an active-snubber circuit, which is used as cell level tester for multiple automotive dc energy storage devices (ESDs), such ultracapacitors, Li-ion batteries, and NiMH batteries. The interfaces those ESD cells 24-V systems, it realizes power flow two main switches. Based on ratings cells, designed operates at very low voltage range, i.e., from 1.5 to 6 V, current high 300 A. detailed operation principle...
A hybrid Microgrid testbed that combines Power Hardware-in-the-Loop (PHIL) simulation of electric power network and System-in-the-Loop (SITL) communication with real hardware is presented in this paper. The PHIL system can interface other emulate different systems connected to the testbed, such as renewable energy conversion systems, topologies utility grid, Microgrids, etc. It enables a flexible reconfigurable testbed. SITL part real-time Supervisory Control Data Acquisition (SCADA) system....
The introduction of communication systems to power system controllers has brought in another layer complexity their design and operation. In this paper, a plug-in hybrid electric vehicle charging facility is studied. A linearized model the built, including both dc/dc dc/ac converters distributed energy resources. addition, control strategy that includes local networked loops proposed monitor dc bus voltage storage unit. This crucial self-sustaining capabilities system. review challenges...
Real time simulation can play a fundamental role in the design and validation of hardware software for power electronic converters electric drives. In this paper, an FPGA based real platform machines is presented. Strategies modeling devices are explained compared. addition, Thevenin equivalent model switch enhanced to on characteristics these devices. By using properties, algorithm electro-thermal With respect machines, different methods saturation evaluated their use simulation. Lastly,...
In this article, we present a recursive least squares (RLS) and adaptive Kalman filter (AKF)-based state parameter estimation (SE PE) for series arc fault (SAF) detection identification on dc microgrids. It is evident from the state-of-the-art research SAFs that due to lack of zero crossings low current fault, detection/identification SAF difficult. Furthermore, unplanned placement sensors effect SAF's noise signatures adjacent sensors, RLS-based SE voltages injection currents. The currents...
In this paper, series arc fault detection and identification is investigated for dc microgrids using a statistical model based on nodal analysis. The consecutive sample difference of the injection currents are modeled as random vector whose distribution depends network conductance matrix. When occurs, matrix changes, which leads to change in data generating distribution. goal quickly detect identify faults different lines while maintaining low false alarm rates. A Quickest Change Detection...
DC arc fault introduces major safety concerns in a wide variety of power electronic applications. However, the randomness and instability dc makes it difficult to be detected. In this paper, an experimental system study characteristics series is designed different tests were conducted order determine influence factors such as gap length, current, etc. During experiments, load current was varied from 6 A 30 source voltage changed 75 V 300 V. Also, fixed supply but changing length examine...
This paper introduces a platform for real time simulation and its contribution towards smart grid related research, with focus on Plug-in Hybrid Electric Vehicles (PHEV) charging stations. The current system is able to simulate in key elements of such as: high speed power electronics, distributed energy resources (DER), communication networks. A description the presented along integration emulation; achieved through OPNET's System Loop (SITL) package. In addition, an introduction Networked...
Modern dc power systems are highly penetrated with electronics circuits, which presents challenges to fault detection and protection. This paper studies the effect of de arc constant loads (CPLs). Experiments various conditions were conducted analyzed. The impact current level formation intermittent sustained arcing is presented. Frequency spectrum discrete wavelet decomposition used analyze provide critical insights into characteristics. controller response speed, as well coupling among two...
The problem of quickest change detection in Markov models is studied. A sequence samples are generated from a model, and at some unknown time, the transition kernel model changes. goal to detect as soon possible subject false alarm constraints. data-driven setting investigated, where neither pre-nor post-change known. based algorithm developed, which applies general state space recursive computationally efficient. Performance bounds on average running length worst-case delay derived....
This paper introduces the latest real time simulation technologies and their applications to smart grid related studies. A platform now built at Ohio State University is described in detail. With help of this platform, distributed complex power system integrated with high switching speed electronics components, renewable energy resources, communication networks can be fulfilled. Two case studies are performed illustrate platform. The first realizes intentional islanding seamless transition...
This paper introduces a high boost ratio, bidirectional, isolated, dc/dc converter designed as an interface between low voltage, current dc sources and 24 V systems. realizes bidirectional power flow with two main switches operates under wide input voltage range, from 1.5 to 12 V, 300 A. An active snubber circuit is utilized recycle the energy stored in leakage inductor of transformer realize zero switching (ZVS) off for one switch. The (ZCS) on this switch achieved by using inductor, thus...
In this paper, series dc arc fault localization within a system of parallel loads in distribution node is investigated. The high frequency noise can travel to adjacent possibly triggering multiple detectors. To accurate localize the faulted line/load, parameter identification technique based on gradient algorithm with projection used. main goals approach monitor condition line parameters, including its resistance and inductance. By identifying these values, it possible accurately determine...
Modular Multilevel Converters (MMC) offer several advantages over common three level inverters. For example, MMCs have lower switching frequency and dv=dt due to their multilevel output. this reason, are typically used in High Voltage DC (HVDC) applications. In paper, different approaches for (real time) simulation of MMC based systems presented. A Thevenin approach with a constant admittance matrix is proposed the complexity computation time. addition, circulating current suppression...
The problem of quickest change detection in hidden Markov models (HMMs) is investigated. A sequence samples are generated from a HMM, and at some unknown time, the transition kernel and/or emission probability HMM changes. goal to detect as soon possible subject false alarm constraints. data-driven setting investigated, where none pre-, post-change kernels or probabilities known. In this paper, based algorithm developed. Performance bounds on its average running length (ARL) worst-case delay...