S05: Optimal Power Flow II and Unit Commitment Session Chair: Pascal Van Hentenryck, Georgia Tech Ensuring Data Privacy In Ac Optimal Power Flow With A Distributed Co-Simulation Framework Xinliang Dai; Alexander Kocher; Jovana Kovacevic; Burak Dindar; Yuning Jiang; Colin Jones; Hüseyin Çakmak; Veit Hagenmeyer Near-Optimal Solutions For Day-Ahead Unit Commitment James Ostrowski; Dominic Yang; Bernard Knueven ; Jean Paul Watson A Parallelized, Adam-Based Solver For Reserve and Security Constrained Ac Unit Commitment Samuel Chevalier Considerations and Design Goals For Unbalanced Optimal Power Flow Benchmarks Archie Chapman; Frederik Geth; Rahmat Heidari; Jordan Clark Ward Reduction In Unit-Commitment Problems Bruno Colonetti; Erlon Finardi Linearized Optimal Power Flow For Multiphase Radial Networks With Delta Connections Geunyeong Byeon; Minseok Ryu; Kibaek Kim
S06: Economics, Energy Markets, and Regulation II Session Chair: Lesia Mitridati, DTU An Incentive Regulation Approach For Balancing Stakeholder Interests In Transmission Investment Yuxin Xia; Iacopo Savelli; Thomas Morstyn Privacy-Preserving Distributed Market Mechanism For Active Distribution Networks Matthias Franke; Ognjen Stanojev; Lesia Mitridati; Gabriela Hug Surrogate-Based Modeling and Sensitivity Analysis of Future European Electricity Spot Market Prices Julian Quick; Juan Pablo Murcia Leon; Polyneikis Kanellas; Sumanth Yamujala; Kaushik Das; Matti Juhani Koivisto Introducing Price Feedback of Local Flexibility Markets Into Distribution Network Planning Michael Lustenberger; Federica Bellizio; Hanmin Cai; Philipp Heer; Charalampos Ziras On Grid-Serving Grid Tariff Design In Local Energy Markets Oliver Banovic; Klemens Schumann; Julius Zocher; Andreas Ulbig
S07: Power System Protection II Convolutional Neural Network-Assisted Fault Detection and Location Using Few Pmus Ali Abur; Tuna Yildiz A Neural Network-Based Classifier For Identifying and Locating Neutral Wire Breaks In Low Voltage Distribution Networks Rubén Carmona-Pardo; Álvaro Rodríguez del Nozal; Esther Romero-Ramos Toward Intelligent Emergency Control For Large-Scale Power Systems: Convergence of Reinforcement Learning, Physics, Computing and Control Qiuhua Huang; Renke Huang; Tianzhixi Yin; Sohom Datta; Xueqing Sun; Zhuanshan Jason Hou; Jie Tan; Wenhao Yu; Yuan Liu; Xinya Li; Bruce Palmber; Ang Li; Xinda Ke; Marianna Vaiman; Song Wang; Yousu Chen Node Breaker Model Based Transient Stability Simulations Including Protective Devices Modeling and Time Coordination Vibhuti Sahu; Gurunath Gurrala; Sanjeev Bangali; Sarasij Das A Fault Ride-Through Strategy For Grid-Forming Converters Under Symmetrical and Asymmetrical Grid Faults Xianxian Zhao; Xavier Kestelyn; Damian Flynn Development of Fault Location Functions In A Real Digital Fault Recorder: Computational Strategies and Validation Felipe Lopes; Eduardo Leite Jr; Guilherme Zat; Allan Scheid; Moisés Davi; Raphael Reis; Paulo Godoy; Nicolas Pierim; Guilherme Justino; Jonas Souza; Mario Oleskovicz
S08: Machine Learning: Power System Control and Optimization Session Chair: Yi Wang, University of Hongkong Real-Time Power Scheduling Through Reinforcement Learning From Demonstrations Shaohuai Liu; Jinbo Liu; Nan Yang; Yupeng Huang; Qirong Jiang; Yang Gao Non-Cooperative Games To Control Learned Inverter Dynamics of Distributed Energy Resources Paul Serna-Torre; Vishal Shenoy; David Schoenwald; Jorge Poveda; Patricia Hidalgo-Gonzalez Learning A Reward Function For User-Preferred Appliance Scheduling Nikolina Čović; Jochen Cremer; Hrvoje Pandžić Unsupervised Learning For Equitable der Control Zhenyi Yuan; Guido Cavraro; Ahmed Zamzam; Jorge Cortes Multi-Agent Reinforcement Learning For Multi-Area Power Exchange Jiachen Xi; Alfredo Garcia; Yu Christine Chen; Roohallah Khatami Topology-Aware Reinforcement Learning For Tertiary Voltage Control Balthazar Donon; François Cubelier; Efthymios Karangelos; Louis Wehenkel; Laure Crochepierre; Camille Pache; Lucas Saludjian; Patrick Panciatici