Spyros Chatzivasileiadis

Orcid: 0000-0003-4698-8694

According to our database1, Spyros Chatzivasileiadis authored at least 70 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources.
IEEE Trans. Smart Grid, January, 2024

Correctness Verification of Neural Networks Approximating Differential Equations.
CoRR, 2024

Error estimation for physics-informed neural networks with implicit Runge-Kutta methods.
CoRR, 2024

GPU-Accelerated Verification of Machine Learning Models for Power Systems.
Proceedings of the 57th Hawaii International Conference on System Sciences, 2024

2023
Deep Learning for Scalable Optimal Design of Incremental Volt/VAR Control Rules.
IEEE Control. Syst. Lett., 2023

Topology-Aware Neural Networks for Fast Contingency Analysis of Power Systems.
CoRR, 2023

Stochastic Quantum Power Flow for Risk Assessment in Power Systems.
CoRR, 2023

Quantum Amplitude Estimation for Probabilistic Methods in Power Systems.
CoRR, 2023

Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees.
CoRR, 2023

Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment.
CoRR, 2023

Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition.
CoRR, 2023

Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility.
CoRR, 2023

Emission-Constrained Optimization of Gas Networks: Input-Convex Neural Network Approach.
Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022
Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems.
CoRR, 2022

Minimizing Worst-Case Violations of Neural Networks.
CoRR, 2022

Global Performance Guarantees for Neural Network Models of AC Power Flow.
CoRR, 2022

Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach.
CoRR, 2022

Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations.
CoRR, 2022

A Novel Decentralized Inverter Control Algorithm for Loss Minimization and LVRT Improvement.
CoRR, 2022

Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers.
CoRR, 2022

Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems.
CoRR, 2022

Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers.
Proceedings of the Learning for Dynamics and Control Conference, 2022

2021
Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications.
IEEE Trans. Smart Grid, 2021

Reliability-Aware Probabilistic Reserve Procurement.
CoRR, 2021

Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment.
CoRR, 2021

Auction-Based vs Continuous Clearing in Local Flexibility Markets with Block Bids.
CoRR, 2021

Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets.
CoRR, 2021

Physics-Informed Neural Networks for AC Optimal Power Flow.
CoRR, 2021

Transient Stability Analysis with Physics-Informed Neural Networks.
CoRR, 2021

Contracting Neural-Newton Solver.
CoRR, 2021

Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation.
Proceedings of the IEEE International Conference on Communications, 2021

Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow.
Proceedings of the IEEE International Conference on Communications, 2021

Neural network interpretability for forecasting of aggregated renewable generation.
Proceedings of the IEEE International Conference on Communications, 2021

Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

2020
Towards Optimal Coordination between Regional Groups: HVDC Supplementary Power Control.
CoRR, 2020

Zero-inertia Offshore Grids: N-1 Security and Active Power Sharing.
CoRR, 2020

Decentralized Model-free Loss Minimization in Distribution Grids with the Use of Inverters.
CoRR, 2020

Extended mathematical derivations for the decentralized loss minimization algorithm with the use of inverters.
CoRR, 2020

North Sea Wind Power Hub: System Configurations, Grid Implementation and Techno-economic Assessment.
CoRR, 2020

Market Integration of HVDC Lines: Cost Savings from Loss Allocation and Redispatching.
CoRR, 2020

Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics.
CoRR, 2020

Identifying DC Faults in HVDC-VSC Systems for Integrating Large Offshore Wind - A Localized Protection Scheme.
CoRR, 2020

Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow to Mixed-Integer Linear Programs.
CoRR, 2020

Zero-inertia Systems: Sufficient Conditions for Phasor Modeling.
CoRR, 2020

Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids.
CoRR, 2020

Sharing Reserves through HVDC: Potential Cost Savings in the Nordic Countries.
CoRR, 2020

Learning Optimal Power Flow: Worst-Case Guarantees for Neural Networks.
Proceedings of the 2020 IEEE International Conference on Communications, 2020

2019
Physics-Informed Neural Networks for Power Systems.
CoRR, 2019

Efficient Creation of Datasets for Data-Driven Power System Applications.
CoRR, 2019

Deep Learning for Power System Security Assessment.
CoRR, 2019

2018
Lecture Notes on Optimal Power Flow (OPF).
CoRR, 2018

Chance-Constrained AC Optimal Power Flow Integrating HVDC Lines and Controllability.
CoRR, 2018

Efficient Database Generation for Data-driven Security Assessment of Power Systems.
CoRR, 2018

Convex Relaxations and Approximations of Chance-Constrained AC-OPF Problems.
CoRR, 2018

Convex Relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids.
CoRR, 2018

Robust Frequency Control for Varying Inertia Power Systems.
Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

2017
Structural Emergency Control Paradigm.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2017

Convex Relaxations of Chance Constrained AC Optimal Power Flow.
CoRR, 2017

DC voltage droop control structures and its impact on the interaction modes in interconnected AC-HVDC systems.
Proceedings of the 2017 IEEE Innovative Smart Grid Technologies - Asia, 2017

Structural emergency control for power grids.
Proceedings of the 2017 American Control Conference, 2017

2016
Cyber-Physical Modeling of Distributed Resources for Distribution System Operations.
Proc. IEEE, 2016

Hardware-in-the-Loop co-simulation of distribution Grid for demand response.
Proceedings of the Power Systems Computation Conference, 2016

Towards electronics-based emergency control in power grids with high renewable penetration.
Proceedings of the 2016 American Control Conference, 2016

2015
A Fully Controllable Power System - Concept for FACTS and HVDC Placement.
CoRR, 2015

Cyber physical modeling of distributed resources for distribution system operations.
CoRR, 2015

2014
Managing Flexibility in Multi-Area Power Systems.
CoRR, 2014

Security constrained OPF incorporating corrective control of HVDC.
Proceedings of the 2014 Power Systems Computation Conference, 2014

2013
Probabilistic security-constrained optimal power flow including the controllability of HVDC lines.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

Predictive control for real-time frequency regulation and rotational inertia provision in power systems.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012
The Global Grid
CoRR, 2012


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