Elia Group’s Post

🚀 Delighted to share my latest publication in the IEEE Transactions on Industrial Informatics (I.F: 9.9, Q1)! Our paper, titled "Mitigation of the Effects of Electric Vehicle Charging on Distribution Networks by Optimal Allocation of Distributed Generation Resources", focuses on addressing one of the growing challenges in modern power systems — the adverse impacts of electric vehicle (EV) charging on power distribution networks (PDNs). 🔍 Key Highlights: 1)   A comprehensive probabilistic planning technique for optimal siting and sizing of solar PV (SPV) and wind turbine - based DGs to improve the performance of a 240-bus PDN with slow residential and public fast EV charging demand (EVCD) is proposed. The primary objective of optimal RBDG allocation in the PDN is to minimize the Ohmic losses and the voltage deviation of the PDN with EVCD, subjected to operational constraints. 2)   For estimating the 24-hour EVCD profiles for slow residential case, daily travel data from the 2017 National Household Travel Survey (NHTS), including the number and type of EV, travel distance, trip arrival and departure timing are used. For EVCD estimation of public fast charging stations, practical EVCD profiles from a leading EV charging infrastructure provider, are used. 3)   Uncertainties in the solar irradiance and wind speed have been accounted for, using appropriate probabilistic models. In addition, seasonal variations in the RBDG outputs are considered for the estimation of their sizing. 4)   The RBDGs have been optimally allocated in the 240-bus PDN using driving training-based optimization (DTBO) algorithm. The DTBO algorithm is observed to outperform other algorithms, in terms of the convergence speed and the accuracy of the final objective function value. I would like to express my sincere gratitude to my supervisors, Prof. Suman Bhowmick and Prof. Radheshyam Saha, family, and friends for their constant support and encouragement throughout this journey. 🙏 #IEEE #Research #ElectricVehicles #RenewableEnergy #Optimization #PowerSystems #Gratitude

We’re proud to share that Nenad Uzelac, Senior Director of Innovation at G&W Electric, has been appointed to the Board of the Smart Grid Synchronized Measurements and Analytics Association (SGSMA). SGSMA is an international initiative jointly supported by CIGRE and IEEE PES, focused on advancing the digital transformation of the electric grid through synchronized measurements, intelligent analytics, and system-wide visibility. We’re also excited to support SGSMA 2026, the Association’s next major event taking place in Santiago, Chile, in June 2026. This will be the second-ever dual-logo IEEE PES / CIGRE conference. Nenad’s appointment reflects G&W Electric’s ongoing commitment to: • Leading in technical innovation and digitalization • Shaping next-generation grid technologies • Building strong global partnerships across utilities, academia, and industry We look forward to further supporting SGSMA’s mission, advancing a smarter and more resilient electric grid, and contributing to the success of the 2026 event in Santiago! Learn more: https://ow.ly/PMht50XilGK

I am excited to contribute to the mission of SGSMA Association — a unique CIGRE and IEEE Power & Energy Society backed initiative advancing synchronized measurements and grid-wide analytics. There are many ways to perform synchronized measurements — PMU's are just one example. What matters most is what we can do with the data. Benefits span across transmission and distribution, including: - Predictive maintenance - High impedance fault detection and location - Asset health monitoring - Wildfire mitigation - Grid visibility in DER-rich systems - Wide area visualization - State estimation - Self-healing and enhanced FLIRS operation - Power quality As a new Board member, I invite colleagues across utilities, vendors, and academia to get involved — and consider joining us at SGSMA 2026 in Santiago, Chile next June. https://sgsma2026.cl/ #SGSMA #SmartGrid #GridAnalytics #IEEE #CIGRE #DigitalGrid #GridResilience #PMU #GridModernization #SynchronizedMeasurements #PowerEngineering #Innovation

The New Energy Industrial Strategy (NEIS) Center is building a global network of researchers, policymakers, and private sector stakeholders who are advancing new energy industrial strategies — policies and interventions that leverage advanced energy systems to support the industries needed for growing, security-conscious nations. Technological advancements, policy changes, and economic shifts have made it clear that advanced energy technologies are essential to build the industries of the future. At the NEIS Center, we develop policies and approaches designed to harness the potential of advanced energy systems to build a nation's most strategically important industries — such as defense, AI, semiconductors, and more — as well as the clean energy industries themselves.    An updated energy and industrial strategy can unleash a new and impactful wave of cleaner, more efficient, and more resilient energy technologies. Learn more: https://bit.ly/43bGneD

🚀 Excited to share our latest research publication! Our paper, “Data-Driven Load Profile Forecasting for EV Charging Stations Leveraging Spatial Dependency Modeling,” was presented at [2025 21st International Conference on the European Energy Market (EEM)] and is now published on IEEE Xplore("https://lnkd.in/eSsynP9f"). 🔋 Within the European project DriVe2X, our work focuses on improving energy demand forecasting for electric vehicle (EV) charging stations—a key step toward enabling efficient vehicle-to-grid (V2G) markets. 💡 What we did: We developed a spatially informed forecasting approach using Long Short-Term Memory (LSTM) and Graph Convolutional LSTM (GCLSTM) models. The models capture temporal and spatial dependencies between charging stations to predict energy demand more accurately across urban networks. 🌍 Key insights: Spatial relationships (e.g., proximity to city center, neighboring stations) influence EV load profiles. LSTM performed robustly in dynamic forecasting scenarios. Our findings contribute to scalable forecasting solutions for Charging Point Operators (CPOs) and Distribution System Operators (DSOs)—supporting smarter, more resilient e-mobility infrastructure. This research contributes to the EU’s net-zero mobility goals and advances data-driven decision-making for future energy systems. 📖 Read the full paper on IEEE Xplore: https://lnkd.in/eSsynP9f 👥 Co-authors: Hrushikesh Mantri, Babak Ravanbach, Chaimaa Essayeh, and Samuel Matias Affiliations: DLR Institute of Networked Energy Systems, Nottingham Trent University, and EDP – Energias de Portugal. #EVCharging #EnergyForecasting #SmartGrid #ArtificialIntelligence #MachineLearning #LSTM #GCLSTM #eMobility #V2G #Sustainability #IEEE

🔋 𝐁𝐫𝐞𝐚𝐤𝐭𝐡𝐫𝐨𝐮𝐠𝐡 𝐢𝐧 𝐰𝐢𝐫𝐞𝐥𝐞𝐬𝐬 𝐞𝐧𝐞𝐫𝐠𝐲 𝐭𝐫𝐚𝐧𝐬𝐦𝐢𝐬𝐬𝐢𝐨𝐧 An interesting update from the Defense Advanced Research Projects Agency (DARPA) caught my attention: the agency has achieved laser-based optical wireless power beaming transmission of over 800 watts across 8.6 kilometres (~5.3 miles). 💡 What it means * The system uses a laser beam directed at a specially-designed receiver that reflects the beam onto photovoltaic cells, converting it back into usable electricity. * The current setup achieved about ~20% receiver efficiency and was completed in a relatively short timeframe (from planning to execution). * This opens up new possibilities: airborne or remote power relays, distributed energy delivery where traditional infrastructure is hard to deploy, and military or emergency-response applications. 🌍 Why this matters In a world striving for more resilient, flexible and sustainable energy systems, this kind of innovation could help re-imagine how and where we deliver power. Imagine scenarios such as remote outposts, disaster-zones or mobile platforms receiving power without the need for long cable runs or fixed infrastructure. 🧭 Notes of caution * The demonstration is still early-stage: it ran for limited duration under controlled conditions. * Challenges remain: atmospheric effects, efficiency, safety, cost and scalability all need further work. * While the future potential is enormous, we’re not yet at the point of “wireless charging of everything from miles away” in everyday settings. 🔭 Looking forward It will be exciting to follow how this progresses — how DARPA’s next phases develop, how industry and academia play in, and how this kind of “power-beaming” technology could complement existing grids or off-grid systems. If you’re working in energy, infrastructure, aerospace, defence, or innovation strategy, this is a technology trend worth tracking. #EnergyInnovation #WirelessPower #CleanTech #Infrastructure #DARPA #FutureTech

Proud to share our latest work, “Advancements in Digital Twin: Distributed Energy Resources Simulation for Supporting System Level Scenario Evaluation,” published by IEEE and presented at #PowerTech 2025 in Kiel, Germany. In this paper, we introduce a Digital Twin framework that integrates an open-source C++ simulator for high-performance grid analysis and real-time coordination of Distributed Energy Resources (DERs). Our approach enables both online and offline simulations, empowering utilities and researchers to perform system-level scenario evaluations, predictive maintenance, and real-time grid monitoring with improved scalability and flexibility. This work is part of the ENERSHARE Project, funded by the EU’s Horizon Europe programme (Grant No. 101069831), and the I-NERGY Project, funded by the Horizon 2020 programme (Grant No. 101016508). 📘 Co-authors: Leonardo Carreras, Ghassen Nakti, francesca santori, Prof. Antonello Monti, and Prof. Alberto Geri. 🔗 Link: https://lnkd.in/dZ4dkrNQ #DigitalTwin #SmartGrid #DER #PowerSystems #Research #IEEE #OpenSource #Sustainability #EnergyInnovation #PowerTech2025 #HorizonEurope #INERGY #ENERSHARE

I am honored to represent Khalifa University as a panelist in the Toledo Panel on Grid Stability at the 51st Annual Conference of the IEEE Industrial Electronics Society (IECON 2025), to be held in Madrid, Spain. The panel, titled “Grid Stability: Understanding the Dynamic Behavior of Inverter-Based Resources (IBRs)”, will address the rapid transformation of the electric grid as inverter-based resources replace traditional synchronous generators in delivering essential services such as frequency regulation, voltage support, and stability margins. This session brings together distinguished experts from academia, national laboratories, and industry to discuss emerging insights into the stability of IBR-dominated grids. The discussion will explore how grid-forming inverter control strategies, while enabling flexibility and resilience, introduce new system-level dynamics that challenge conventional planning and stability assessment frameworks. Panelists include: • Phil Hart, Ph.D., Senior Engineer, GE Vernova Advanced Research Center, USA (Moderator) • Yin Sun, Ph.D., Grid Technology Program Manager, Shell, Netherlands • Muhammad Bakr Abdelghany, Ph.D., Research scientist, Khalifa University, UAE • Qianwen Xu, Ph.D., Associate Professor, KTH Royal Institute of Technology, Sweden Panel Chair: Ziang “John” Zhang, Ph.D., Binghamton University, State University of New York, USA I extend my appreciation to the organizing committee, panel chair, and co-panelists for their dedication and collaboration. This panel aims to bridge the gap between device-level control design and system-level stability, fostering dialogue across the power electronics and power systems communities. #IEEE #IECON2025 #GridStability #InverterBasedResources #GridFormingControl #PowerElectronics #SmartGrids #KhalifaUniversity #ResearchCommunityr

Integration of small modular reactors (SMRs) into renewable-rich AC/DC grids is an emerging topic, as it brings many benefits alongside challenges. In our paper below, a pair of real-time digital twin (RTDT) and surrogate physical twin (SPT) are developed to facilitate the exploration of interactions among SMRs, wind farms, and AC/DC grids. The RTDT and SPT are deployed onto two FPGA boards with low communication latency so that this collaborative hardware framework is capable of predicting and responding to contingencies in the hybrid energy system 6 times faster than real-time. It offers a potential approach for addressing challenges arising from SMRs and renewables for next-generation energy systems. #Digital_Twin #EMT_Simulation #Renewable_Energy #Small_Modular_Reactor #Surrogate_Physical_Twin https://lnkd.in/gg2FvHSr

A great opportunity to meet key European academic and industrial players leading the development efforts towards future MVDC power grids. The developments are critical for a sustainable and resilient energy future: connecting distributed renewable energy sources in DC might reduce the environmental impact of the infrastructure. Furthermore, DC power distribution is more economical above a certain distance as it uses less copper (fewer conductors) and has no reactive losses. The entire industry value chain will be represented at the Workshop, from #SiliconCarbide material suppliers to power #semiconductors and #powerelectronics. #energy #energytransition #HVDC #MVDC