Keynote 1: Novel Architecture of Integrated Photovoltaic (PV) and Smart Energy Storage

Pr. Issa Batarseh

University of Central Florida, Orlando, USA

Director, Florida Power Electronics Center

Abstract: Significant research progress has been made in advancing photovoltaic (PV) energy conversion technologies, LED lighting, energy storage, and smart micro-grid to enable smart-city solutions. Moreover, many studies point towards smart distributed storage as being the key for rapid increase in PhotoVolatic (PV) penetration for several reasons include (1) Support and enable the grid functions; (2) Load shifting and peak shaving; (3) Using excess converter thermal “headroom” for short-term emergency over-generation (5) Minimizing transmission and distribution losses; (6) Optimizing local energy production and consumption. This talk will discuss new and novel distributed, scalable and efficient integrated multi-PV panels, mini-inverter and energy storage into one unified architecture.
Biography: Dr. Issa Batarseh is Professor of Electrical and Computer engineering at the University of Central Florida, Orlando, Florida. Currently he is serving as the Director of the Energy System Integration Division at the Florida Power Electronics Center (FSEC). Dr. Batarseh is IEEE Fellow. His work focuses on developing innovative power electronic systems for grid-tied solar applications. The research goal is to design advanced inverter technologies to achieve high efficiency, low cost inverter topologies, enabled by advanced digital control strategies for enhanced performance, fault protection, system integration, and health monitoring for power grid.

Keynote 2: Smart Micro Grid and Renewable Energy Impacts on Stability of Power System

Pr. Ahmad Harb

German Jordanian University (GJU)

Jordan

Abstract: The renewable energy (PV/Wind) sources integrated into power systems, offer solutions for clean power supply. Currently, many countries all over the world have implemented or in the process of implementing policies to promote renewable energy integrated into the power grid. This is because distributed energy resources in the power system could provide better balance between the increasing electricity demand and reduce the power losses, traditional power exportation, as well as enhance the controllability of energy deployment, which would be the main component of the next-generation power grid framework, with intelligent monitoring techniques and advanced management measures to have a smart power grid. In this presentation, I will share a detailed simulation of the impacts of renewable energy sources integration with smart micro power grid. Modeling and simulation will be implemented by using (Digsilent) software to verify the effectiveness of the proposed method.
Biograhy: Ahmad M. Harb receive his Ph.D. degree from Virginia Tech., Virginia, USA, in 1996. Currently, he is a Professor at German Jordanian University (GJU). Dr. Harb is IEEE senior member. Dr. Harb was the dean of Natural Resources Engineering at German Jordanian University (2011-2013). Dr. Harb is the founder and Editor-in-Chief for the International Journal of Modern Nonlinear Theory and Application, IJMNTA. Dr. Harb has published more than 100 journal articles and conference proceedings. His research interests include power system, renewable energy, smart power grid, power electronics, modern nonlinear theory (bifurcation & chaos).

Keynote 3: Artificial Intelligence in Energy Management

Dr. Antonio Sanfilippo

Qatar Environment and Energy Research Institute

Qatar

Abstract:

Due to the increasing integration of renewable energy and electric vehicles in global and local power networks, the management of energy systems has become more complex. AI can help address the challenges that emerge from this complexity through the use of machine learning and automation methods that optimize and secure energy use. The application of these machine learning and automation methods involves a set of concerted processes in data collection/generation and wrangling, algorithm development, and computing infrastructure engineering. The aim of this talk is to  review these processes with reference to energy management applications in power system monitoring and control, solar forecasting, demand side management, the adoption and trade of renewable energy, and electric vehicle integration.

Biography: Dr. Antonio Sanfilippo is Chief Scientist at Qatar Environment & Energy Research Institute (QEERI), where he leads the Energy Management Program. While at QEERI, he has been awarded several grants from Qatar National Research Fund and presented with the 2020 Qatar Innovation Leadership Award by the World Innovation Congress. Under his leadership, the QEERI Energy Management Program team has established renewable and smart grid capabilities that have become the national point of reference for local and international stakeholders. Prior to QEERI, Dr. Sanfilippo was the Chief Scientist at the Pacific Northwest National Laboratory (PNNL) in the U.S., where he received the Laboratory Director’s Award for Exceptional Scientific Achievement in 2008. While at PNNL, he led research projects for the Dept. of Homeland Security, the National Institutes of Health, the Dept. of Energy, the National Science Foundation, and a four-year laboratory initiative on predictive analytics. Dr. Sanfilippo has also held positions as Research Director in the private sector, Senior Consultant at the European Commission, Research Supervisor and Group Manager at SHARP Laboratories of Europe, and Research Associate at the Universities of Edinburgh and Cambridge in the UK. Dr. Sanfilippo holds master’s degrees from Columbia University (U.S.), and a Ph.D. from the School of Informatics at the University of Edinburgh (UK).