IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (IEEE SmartGridComm 2022)
Tutorial: AI-driven Decarbonization for Energy Systems
Tutorial: AI-driven Decarbonization for Energy Systems
Shengrong Bu, Brock University, Canada; Dawei Qiu, Imperial College, UK; Zhu Han, University of Houston, TX, USA
This tutorial will first provide an overview of various approaches for energy systems decarbonization. It will then examine two types of decarbonization approaches--electric vehicles (EVs) and peer-to-peer (P2P) energy trading--related to those challenges and explore how state-of-the-art deep reinforcement learning and big data analytic tools could be applied to meet these challenges. The tutorial will explain the multiple inter-dependent services offered by EVs, explore the challenges of EVs to make their routing and scheduling decisions in a coupled power-transportation network, and demonstrate how hierarchical and hybrid multi-agent reinforcement learning methods can be employed to address the challenges. The tutorial will also examine aspects of P2P energy trading, such as how it can be combined with multi-energy converters to further improve the flexibility of the power systems, which is critical for decarbonization in microgrids.
Session Chair and Room
Room TT4-5
Tutorial: IoT-based Load-Altering Attacks Against Power Grids
Tutorial: IoT-based Load-Altering Attacks Against Power Grids
Subhash Lakshminarayana, University of Warwick, Coventry, UK; Charalambos Konstantinou, KAUST, Thuwal, KSA
The tutorial will present a comprehensive overview of the threat of LAAs in power grids. It will specifically focus on (1) the theoretical foundations for analysing a high-impact least-effort LAA targeted at high-wattage IoT-based devices, (2) the demonstration of how LAAs can lead to realistic cyber-attacks capable of identifying the most vulnerable locations and amount of load needed to be compromised in order to cause unsafe frequency fluctuations in a (low-inertia) power system, (3) application of machine learning (ML) techniques to detect and localise LAAs, (4) the presentation of simulation-based experiments to demonstrate the effects of the formulated LAA in future power systems with a high penetration of renewable energy resources. Finally, future development of LAAs in the power grid and other cyber-physical systems will be identified.
Session Chair and Room
Room TT1
Tutorial: Using Global Wireless Standard-based Networks to Modernize the Communication Infrastructure used by Grid Operators
Tutorial: Using Global Wireless Standard-based Networks to Modernize the Communication Infrastructure used by Grid Operators
Larry J. Horner, Intel Principal Engineer, Senior Solution Architect
Session Chair and Room
Room TT2-3
Tutorial: Synchro-Waveforms: A New Frontier in Advanced Smart Grid Sensing and Data Analytic
Tutorial: Synchro-Waveforms: A New Frontier in Advanced Smart Grid Sensing and Data Analytic
Hamed Mohsenian-Rad, University of California, Riverside, CA, USA; Alireza Shahsavari, San Diego Gas and Electric, San Diego, CA, USA
Session Chair and Room
Room TT4-5
TC SmartGridComm Meeting
TC SmartGridComm Meeting
Session Chair and Room
Andrea Tonello (IEEE TG-SGC Chair) — Room TT2-3
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