Funded Research Projects :
- NSF 2017-2019, EAGER: SSDIM: Simulated and Synthetic Data for Interdependent Communications and Energy Critical Infrastructures
- NSF 2016-2021, CAREER: Cyber Physical Solution for High Penetration Renewables in Smart Grid
- NSF 2016-2019, CRISP Type2: Collaborative Research: Towards Resilient Smart Cities: A Theoretic Framework with Bounded Rationality, (Co-PI with I. Guvenc)
- NSF 2015-2017, CPS: Synergy: Collaborative Research: Towards secure Networked Cyber- Physical systems: A Theoretic Framework with Bounded Rationality, (Co-PI with I. Guvenc and K. Akkaya)
- NSF 2014-2017, RIPS Type 2: Vulnerability Assessment and Resilient Design of Interdependent Infrastructures
- DOE 2015-2020, Collaborative Research: Visualization of threats and Vulnerabilities in Smart Grid, (University of Arkansas, Carnegie Mellon University, Lehigh University and Florida International University)
- FPL/NextEra Energy 2015-2019, Wireless Power Transfer System
- FPL 2014-2020, Electric Power Reliability and Analytics Center (EPRAC) for High Penetration Distributed Renewable Resource Modern Grid System
- FPL Smart Grid Technology projects 2014-2017
- Research Experiences for Undergraduates (REU) 2014-2018
- Energy Club: Research Program for K1 to K12 Students
Smart Grid, PHEV & EV Systems, High Penetration Renewable Systems, Power System Reliability, Large Scale Distributed Generation Integration, Central Command & Diagnostic Center, Large Scale Data Analysis, Electric Power Engineering, Industry Efficiencies, Interoperability, Advance Metering Infrastructure, Infrastructure Cyber Security, SFCL, Renewable Energy and Sustainable Power Systems, Distributed Power Systems, Micro-grids, Storage, Exploring Links between Weather, Reliability, Economics and Markets, Machine Drives, Demand Response and Demand Side Management, Predictive Self Healing Networks and Strategic Load Pockets are some of his areas of research interest.
The wordle below provides a brief overview of the different research activities pursued by EPS. We are looking for volunteers from all departments to help us with many projects listed below.
Cyber Physical Solution for High Penetration Renewables in Smart Grid
With the integration of multiple Renewable Energy Systems (RES) like solar photovoltaic (PV) into the existing smart grid, unpredictable variations in weather trigger fast fluctuations in PV generation profile, thereby creating challenges in reliability, power quality and the overall stability of the grid. This research brings novel computational tools for forecasting and intelligent load sharing with distributed energy storage by collecting data from the on-campus 1.4MW power plant in real-time, conducting high-end modeling, analysis and visualization on various datasets to understand, predict and smoothen the variations in PV generation. This solution fills the gap that will help our nation steer closer to the ultimate goal of a sustainable future involving a smart clean power grid.
Simulated and Synthetic Data for Interdependent Communication and Energy Critical Infrastructures
This project will develop new mathematical foundations and computer-based learning theories for generating a wide range of simulated and fully-synthetic datasets that model interdependent communications and energy infrastructures in urban settings. These enhanced datasets and associated data building tools will provide a large-scale test data related to interdependent critical infrastructures (ICIs). New simulated and synthetic data generation tools will enable increasing the resiliency and flexibility of ICIs, improving their security during extreme weather conditions and other threats. This project will involve students from diverse backgrounds in engineering, computer science and psychology, who will be trained on pertinent research approaches related to the challenges of simulated and synthetic data modeling. The objective is to develop models that can accurately reconstruct, simulate, and evaluate a robust theoretical framework of ICI function by leveraging available real-world datasets. It employs a unique combination of learning and social behavioral models to accomplish the envisioned goal. Also included is a quality-feedback loop verification and data management approach to fine-tune the simulated and synthetic data by comparing it against available real-world data over a realistic network with a large-scale simulator that integrates ICIs over an urban setting.
Critical Resilient Interdependent Infrastructure Systems and Processes and Processes (CRISP)
Realizing the vision of truly smart cities requires a synergistic integration of cyber-physical critical infrastructures (CIs) such as smart grids, wireless communication systems, smart transportation, and smart water systems into a unified smart city. Such CIs have significant resource interdependencies as they share energy, computation, wireless spectrum, personnel (users, operators), and economic investments. Such resource sharing increases the proneness of such CIs to cascading failures. For example, the failure of a generator will cause a power outage for residential customers as well as an outage on portions of the wireless CI. Protecting such CIs from failures requires instilling resiliency into the processes which manage their common resources thus allowing them to recover from failure by optimally allocating their resources over their nodes and connections. The goal of this research is to address this challenge by developing a holistic approach for optimizing the resiliency of a city’s interdependent Cis using powerful mathematical tools from graph theory, game theory, optimization, point processes, and related frameworks.
Advanced research on Integrating Emerging and Existing Systems (ARIES)
Fault restoration in a Smart Grid takes considerable amount of time resulting in interruptions in day to day activities. ARIES project with the primary objective of (Autonomous) Fault Isolation and Service Restoration [FISR] is aimed at drastically reducing Customer Minutes of Interruption and Number of Customers Interrupted. Autonomous Fault Restoration improves the efficiency, situation awareness, operational intelligence visibility of utility engineers and operators and self-healing nature of smart grid. This research focuses on grid data requirements, testing, analysis, data processing and implementing appropriate corrective actions keeping interoperability issues and industry standards in consideration.
CPS: Synergy: Collaborative Research: Towards SECURE Networked Cyber-Physical Systems: A Theoretic Framework with Bounded Rationality
Securing critical networked cyber-physical systems (NCPSs) such as the power grid or TRANSPORTATION systems has emerged as a major national and global priority. The networked nature of such systems renders them vulnerable to a range of attacks both in cyber and physical domains as corroborated by recent threats such as the Stuxnet worm.
Collaborative Research: RIPS Type 2: Vulnerability Assessment and Resilient Design of Interdependent Infrastructures
Modern infrastructure systems, such as power grids, communication networks, and transportation networks are interdependent in such a way that a failure of an element in one system may cause multiple failures of elements in other systems. This process can propagate back and forth between interdependent systems in a cascading fashion, resulting in a catastrophic widespread failure. In addition, the diverse human behaviors to disruptions, such as drivers? reaction to gridlock, can further complicate the cascading behaviors. Radically new models and analytical techniques are needed to assess and design resilient interdependent systems.
In this project, a team of five investigators from the domains of computer science, optimization, transportation systems, power engineering, and social science will work together to gain a better understanding of cascading failure phenomena and their mitigation strategies.
DOE SEEDS: Tri-Modular Framework for Intelligent Visualization of Smart Grid Cyber-Attacks:
The nature of response to a successful cyberattack on any part of the smart grid is currently reactive. At any given time, the operators and security analysts at the utility command and control centers lack a complete picture of the grid’s security factors such as vulnerabilities, threats and attack vectors. Most of their valuable time goes towards releasing patches and adhering to the North American Electric Reliability Commission (NERC) Critical Infrastructure Protection (CIP) guidelines. In such an environment, the attackers are not only successful at breaking the system but also slip away before any countermeasure can be evoked by the defenders. The proposed project aims to bridge this gap by designing and developing an intelligent visualization, backed by three modules: Data (to develop contextual, processed data describing the situation of the grid), Classification (to classify processed data as erroneous, malicious, anomalous and correct data based on different rationales), and Action (to use the classified data and individual beliefs and experience as inputs to determine the best course of action to fulfill the intended objectives). Together, the three modules improve the situation awareness for the operators who can now make well-informed decisions in a timely manner, thereby making the whole process more proactive. The results from this research will be validated and then can be integrated with the corporate information systems of utilities. For more information about the project, please click here(https://seedscenter.uark.
Wireless Power Transfer System
The EPS group is working on cutting-edge technologies in wireless power transfer (WPT) systems since 2012. In this research project, applications of WPT systems in static and dynamic (in-motion) wireless charging of electric vehicles. The EPS team has already developed unique power electronic converters and controllers, as well as unique magnetic structures to improve the efficiency of WPT systems. The developed WPT system is capable of bidirectional power transfer, thus enabling grid-to-vehicle (G2V) and vehicle-to-grid (V2G) connections with state of art communication.
Electric Power Reliability and Analytics Center (EPRAC) for High Penetration Distributed Renewable Resource Modern Grid System
There are is an obvious need for power generation from renewable energy sources due to environmental concerns. This has led to the proliferation of power generation from renewable energy sources. The research project studies the grid impact of increasing volume of PV solar generation. It focuses on inverter data monitoring and reporting, site performance evaluation and efficiency comparison of various inverter types. The primary purpose of this study is to analyze monthly grid data, identify threshold issues impacting performance and identify tools, technology, controls, and/or protocol modifications to maintain or improve grid performance related to reliability utility metrics, power quality and power system equipment operations. It investigates and compares existing low voltage ride-through (LVRT) control with improvement methods for PV systems and identify proper control systems to improve LVRT curves and explore smart inverter functionalities.
FEWS : Food Energy Water System
This project aims to investigate the interlinkage and interdependcy of three dynamic resources: Energy, Water and Food. Data acquired from experimental test bed will be used to develop a modeling framework for the energy, water and food system from nexus perspective.
Objectives 1: Investigating the mutli-scalability of the energy, water and food nexus that comes with various dimensionality and time scale variance
Objective 2: Developing a spatio-temporal modeling mathematical framework for analyzing the three dynamic infrastructures and their input-output dependency
Objective 3: Developing intelligent infrastructure for smart agriculture prototype
PERSONALIZED LEARNING ENVIRONMENT
Despite widespread knowledge of challenges faced by students with disabilities in an integrated classroom, the teachers lack the resources to effectively apply and systematically use evidence-based technology in the classroom to manage classroom behaviors. The goal of this project is to strategize and implement an integrated product that has closed-captioning, speech synthesizers, text-to-speech converters, novel Kelvin lightings in a real-time fashion, hence establishing a fine-tuned environment in K12 schools to improve classroom learning of students with disabilities. Training for teachers, learning for students and ease of use will propel the widespread replication of this product in other schools. To achieve the project’s objective, researchers in FIU’s colleges of engineering, nursing, and education departments are partnering with schools, teachers and students to strategize, implement, train, evaluate, and disseminate the technology tool and the resources needed to support its ongoing use. This cross-functional partnership is the key to make this project successful. We will use a logical model to guide evaluation efforts. Regular feedbacks from stakeholders will be incorporated into the plan to achieve expected outcomes Quantitative and qualitative data will be analyzed, and evaluated using a Mixed Methods Approach
SUPERCONDUCTING FAULT CURRENT CURRENT LIMITER(SFCL)
Fundamental innovation in high-speed protection and integration mechanism will enable higher efficiency and rigidity to the grid. Many of adverse effects on the grid such as short circuit and protection, electromagnetic transient and voltage stability, power leveling and energy balancing can be mitigated by use of new forms of superconducting technologies. By optimally integrating the superconducting technology that has been predicted to become even cheaper by 2030-50 (NREL long-term target), would diminish these kinds of concerns as compared to existing technologies.
The superconducting Fault Current Limiter (SFCL) is one such technology that drew interest after the discovery of high-temperature superconducting (HTS) materials. Also, due to the recent development of cheaper second-generation high HTS wires, the SFCL has become more viable. Large-capacity SMES also can provide individual or across multiple applications as an integral part of the large scale distributed energy systems. The basic role of energy storage is to draw energy generated at one time and to release it to supply power at a later time.
The Sunshine State Solar Grid Initiative (SUNGRIN) is a High Penetration Solar Deployment Projects. The Project is focused on understanding and removing the regulatory, technical, and economic barriers to integrating high penetration of solar electricity into the electric grid. Increasing the growth of grid-tied solar photo-voltaic systems; accelerating the placement of these systems into existing and newly designed distribution circuits in the electrical grid; and supporting the mission to increase widespread commercialization of clean solar energy technologies. The idea of the SUNGRIN project is to gain significant insight into effects of high-penetration levels of solar PV systems in the power grid, through simulation-assisted research and development involving a technically varied and geographically dispersed set of real-world test cases within the Florida grid.
High Penetration Study
The research will focus on dynamic simulations to test the performance of various PV integration scenarios and to examine power quality. The proposed research supports the overall thrust by addressing the following objectives like Characterizing and predicting the impact of solar variation, Understanding impacts on the distribution grid, Developing solutions and Disseminating information and raising awareness.
Peak Load Shaving Technology with Renewable Resources
This project seeks to develop methodologies to analyze and optimize the technical, economic and environmental benefits of a renewable grid connected photovoltaic system for electric power production by development of an advance peak load shaving technology.
Advanced Commercial Energy (ACE) Technology
For implementation of a Commercial Price Responsive Load Management Pilot.
Demand Side Management Pilot: On-line efficiency control in facilities using Smart Grids
This project is based on the development of a new smart grid and control system in order to manage large infrastructures and facilities in commercial and industrial customers such as universities, offices, industries, hospitals, and hotels.
WAR – Weather and Reliability
Unique investigation into the effects of weather conditions on reliability . Analyses involving systems across the entire Florida peninsula for a 10 plus year period monitoring and evaluating over the electric power grid covering over 3 million utility customers.
Smart Grid with Strategic Load Pocket (SLP)
The smart grid SLP is representative of many urban environments that include a number of essential businesses such as a grocery store, gas station, pharmacy, restaurants and a residential mix. This Strategic Load Pocket (SLP) is a smart-grid that includes loads strategically chosen for their importance during widespread outages that result from disasters such as hurricanes or ice storms.
Plug-in-Hybrid & Hybrid vehicle to grid
Plug-in Hybrid Electric Vehicles are of particular interest for several reasons. The grid has zero energy storage capacity and therefore beyond baseline generation, utilities must implement costly measures for meeting highly variable demands.
DSM – Demand Side Management
- Dynamic Islanding: Dynamic Islanding is a DER control scheme that maximizes the number of customers served from the alternate source (such as energy storage) for the anticipated duration of the facility outage
- EU – Demand Side Management: Working to develop new ways of implementing and achieving demand side management
- DROP – Demand Response Opportunity Pilots: Demand Response – A new load management tool that allows customers to choose when and if to participate in the power market and at what price.
Renewable and Alternative Energy Program
- PV – Photo Voltaic:Turnkey projects with newer products from stable Photo Voltaic technology. Grid connected (grid-tie) solar PV systems. Solar farming and specific projects such as Parks and buildings
- Modern Homes: Execution of turnkey projects at public places for demonstration of modern renewable technologies. Hydrogen storage facility in the ‘modern home.
- Biomass – Omnivorous Biomass Gasification: Analysis and Optimization of Benefits of Electric Power Generation Using Omnivorous Biomass Gasification. Survey of all the counties harboring Tampa bay region to assimilate data about biomass fuels.