Journals
| [38] | J. Stiasny, S. Chatzivasileiadis, Physics-Informed Neural Networks for Time-Domain Simulations: Accuracy, Computational Cost, and Flexibility. Submitted. 2023. [ paper ] |
| [37] | R. Nellikkath, S. Chatzivasileiadis, Minimizing Worst-Case Violations of Neural Networks. Submitted. 2023. [ paper ] |
| [36] | S. Chevalier, S. Chatzivasileiadis, Global Performance Guarantees for Neural Network Models of AC Power Flow. Submitted. 2022. [ paper ] |
| [35] | I. Murzakhanov, S. Chatzivasileiadis. Decentralized Model-free Loss Minimization in Distribution Grids with the Use of Inverters. Accepted to Sustainable Energy, Grids and Networks. 2023. [ .pdf ] |
| [34] | S. Gupta, A. Mehrizi-Sani, S. Chatzivasileiadis, V. Kekatos Scalable Optimal Design of Incremental Volt/VAR Control using Deep Neural Networks. Accepted to Control Systems Letters. 2023. [ paper ] |
| [33] | E. Prat, I. Dukovska, R. Nellikkath, L. Herre, M. Thoma, S. Chatzivasileiadis. Network-Aware Flexibility Requests for Distribution-Level Flexibility Markets. Accepted to IEEE Transactions on Power Systems. 2023. [ paper | code ] |
| [32] | I. Murzakhanov, S. Gupta, S. Chatzivasileiadis, V. Kekatos Optimal Design of Volt/VAR Control Rules for Inverter-Interfaced Distributed Energy Resources. Accepted to IEEE Transactions on Smartgrid. 2023. [ paper ] |
| [31] | I. Murzakhanov, G. M. Vishwanath, K. Vemalaiah, G. Prashal, S. Chatzivasileiadis, N. P. Padhy. A Novel Decentralized Inverter Control Algorithm for Loss Minimization and LVRT Improvement. Electric Power Systems Research. vol 221, 109433, 2023. [ .pdf ] |
| [30] | S. Chatzivasileiadis, P. Aristidou, I. Dassios, T. Dragicevic, D. Gebbran, F. Milano, C. Rahmann, D. Ramasubramanian Micro-Flexibility: Challenges for Power System Modelling and Control. Electric Power Systems Research. vol. 197, 107324, 2023. [ paper ] |
| [29] | J. Wang, P. Pinson, S. Chatzivasileiadis, M. Panteli, G. Strbac and V. Terzija, On Machine Learning-Based Techniques for Future Sustainable and Resilient Energy Systems, in IEEE Transactions on Sustainable Energy, vol. 14, no. 2, pp. 1230-1243, 2023, doi: 10.1109/TSTE.2022.3194728. [ .pdf ] |
| [28] | E. Prat, S. Chatzivasileiadis, Learning Active Constraints to Efficiently Solve Bilevel Problems. IEEE Transactions on Power Systems, vol. 38, no. 3, pp. 2376-2387, 2023, doi: 10.1109/TPWRS.2022.3188432. [ .pdf ] |
| [27] | A. Kody, S. Chevalier, S. Chatzivasileiadis, D. Molzahn. Modeling the AC Power Flow Equations with Optimally Compact Neural Networks: Application to Unit Commitment. Electric Power Systems Research. vol. 213, 108282, 2022. [ paper ] |
| [26] | L. Herre, P. Pinson, S. Chatzivasileiadis. Reliability-Aware Probabilistic Reserve Procurement. Electric Power Systems Research. vol. 212, 108345, 2022. [ paper ] |
| [25] | R. Nellikkath, S. Chatzivasileiadis. Physics-Informed Neural Networks for AC Optimal Power Flow. Electric Power Systems Research. vol. 212, 108412, 2022. [ paper | code ] |
| [24] | S. Chatzivasileiadis, A. Venzke, J. Stiasny and G. Misyris, "Machine Learning in Power Systems: Is It Time to Trust It?," in IEEE Power and Energy Magazine, vol. 20, no. 3, pp. 32-41, May-June 2022, doi: 10.1109/MPE.2022.3150810. [ .pdf ] |
| [23] | A. Tosatto, X. Martínez-Beseler, J. Østergaard, P. Pinson, S. Chatzivasileiadis, North Sea Energy Islands: Impact on National Markets and Grids. Energy Policy, vol. 167, 112907. 2022. [ .pdf ] |
| [22] | G. S. Misyris, A. Tosatto, S. Chatzivasileiadis and T. Weckesser, "Zero-Inertia Offshore Grids: N-1 Security and Active Power Sharing," in IEEE Transactions on Power Systems, vol. 37, no. 3, pp. 2052-2062, May 2022, doi: 10.1109/TPWRS.2021.3113274. [ .pdf ] |
| [21] | A. Tosatto, G. S. Misyris, A. Junyent-Ferré, F. Teng and S. Chatzivasileiadis, "Towards Optimal Coordination Between Regional Groups: HVDC Supplementary Power Control," in IEEE Transactions on Power Systems, vol. 37, no. 1, pp. 402-415, Jan. 2022, doi: 10.1109/TPWRS.2021.3086764. [ .pdf ] |
| [20] | A. Singlitico, J. Østergaard, S. Chatzivasileiadis, Onshore, offshore or in-turbine electrolysis? Techno-economic overview of alternative integration designs for green hydrogen production into Offshore Wind Power Hubs. Renewable and Sustainable Energy Transition. vol. 1, 100005, 2021. [ .pdf ] |
| [19] | G. S. Misyris, S. Chatzivasileiadis, T. Weckesser. Grid-forming Converters: Sufficient Conditions for RMS modeling. Electric Power Systems Research. vol. 197, 107324, 2021. [ .pdf ] |
| [18] | V. Nougain, S. Mishra, G. S. Misyris, S. Chatzivasileiadis. Multi-Terminal DC Fault Identification for MMC-HVDC Systems based on Modal Analysis - A Localized Protection Scheme. IEEE Journal of Emerging and Selected Topics in Power Electronics, vol. 9, no. 6, pp. 6650-6661, doi: 10.1109/JESTPE.2021.3068800, 2021. [ .pdf ] |
| [17] | L. Bobo, A. Venzke, S. Chatzivasileiadis. Second-Order Cone Relaxations of the Optimal Power Flow for Active Distribution Grids: Comparison of Methods. International Journal of Electrical Power and Energy Systems, vol. 127, 106625, 2021. [ .pdf | Github Code ] |
| [16] | A. Tosatto, M. Dijokas, T. Weckesser, S. Chatzivasileiadis, R. Eriksson. Sharing reserves through HVDC: potential cost savings in the Nordic countries.IET Generation, Transmission, Distribution, 15: 480– 494, 2021. [ .pdf ] |
| [15] | A. Venzke, S. Chatzivasileiadis. Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications. IEEE Transactions on Smartgrid, vol. 12, no. 1, pp. 383-397, Jan. 2021. [ .pdf | IEEEXplore | slides | video ] |
| [14] | A. Venzke, D.K. Molzahn, S. Chatzivasileiadis, Efficient Creation of Datasets for Data-Driven Power System Applications. Electric Power Systems Research, vol. 190, 106614, 2021. [ .pdf | Video Presentation | slides ] |
| [13] | A. Tosatto, S. Chatzivasileiadis, HVDC loss factors in the Nordic Power Market. Electric Power Systems Research, vol. 190, 106710, 2021. [ .pdf | Video Presentation | slides | code ] |
| [12] | A. Venzke, S. Chatzivasileiadis, D. K. Molzahn. Inexact Convex Relaxations for AC Optimal Power Flow: Towards AC Feasibility. Electric Power Systems Research, vol. 187, 106480, October 2020. [ .pdf | Elsevier ] |
| [11] | A. Venzke, L. Halilbasic, A. Barre, L. Roald, S. Chatzivasileiadis. Chance-constrained AC Optimal Power Flow integrating HVDC lines and controllability. Interational Journal of Electrical Power and Energy Systems, Vol. 116, 105522, March 2020. [ .pdf | Elsevier ] |
| [10] | A. Tosatto, T. Weckesser, S. Chatzivasileiadis. Market Integration of HVDC Lines: internalizing HVDC losses in market clearing. IEEE Transactions on Power Systems, vol. 35, no. 1, pp. 451-461, Jan. 2020. [ .pdf | IEEEXplore ] |
| [9] |
F. Thams, A. Venzke, R. Eriksson, S. Chatzivasileiadis. Efficient Database Generation for Data-Driven Security Assessment of Power Systems. IEEE Transactions on Power Systems, vol 35, no. 1, pp. 30-41, Jan. 2020 [ .pdf | Databases | IEEEXplore] |
| [8] | A. Venzke, S. Chatzivasileiadis. Convex relaxations of Probabilistic AC Optimal Power Flow for Interconnected AC and HVDC Grids. IEEE Transactions on Power Systems, vol. 34, no. 4, pp. 2706-2718, July 2019. [ .pdf | IEEEXplore | slides | video ] |
| [7] | L. Halilbasic, P. Pinson, S. Chatzivasileiadis. Convex Relaxations and Approximations of Chance-Constrained AC-OPF Problems. IEEE Transactions on Power Systems, 34(2):1459-1470, March 2019. [ .pdf | IEEEXplore ] |
| [6] | A. Venzke, L. Halilbasic, U. Markovic, G. Hug, S. Chatzivasileiadis. Convex relaxations of Chance Constrained AC Optimal Power Flow. IEEE Transactions on Power Systems, 33(3):2829-2841, 2018. [.pdf | IEEEXplore] |
| [5] |
T. L. Vu, S. Chatzivasileiadis, H. D. Chang and K. Turitsyn. Structural Emergency Control Paradigm. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 7(3):371-382, 2017. [ .pdf | ArXiV ] |
| [4] |
S. Chatzivasileiadis, M. Bonvini, J. Matanza, R. Yin, T. Nouidui, E. C. Kara,
R. Parmar, D. Lorenzetti, M. Wetter, and S. Kiliccote.
VirGIL: A co-simulation platform for cyber-physical modeling of
distributed resources for distribution system operations.
Proceedings of the IEEE, 104(4):789-806, 2016. [ bib | full paper | presentation ] |
| [3] | M. Bucher, S. Chatzivasileiadis, and G. Andersson. Managing Flexibility in Multi-Area Power Systems. IEEE Transactions on Power Systems, 31(2):1218-1226, 2016. [ bib | .pdf ] |
| [2] | E. Iggland, R. Wiget, S. Chatzivasileiadis, and G. Anderson. Multi-Area DC-OPF for HVAC and HVDC grids. IEEE Transactions on Power Systems, 30(5):2450-2459, Sept 2015. [ bib | .pdf ] |
| [1] | S. Chatzivasileiadis, D. Ernst, and G. Andersson. The Global Grid. Renewable Energy, 57:372-383, September 2013. [ bib | full paper | presentation ] |
Peer-Reviewed Conferences
| [60] | S. Chevalier, I. Murzakhanov, S. Chatzivasileiadis. GPU-Accelerated Verification of Machine Learning Models for Power Systems. Submitted. 2023.[ paper ] |
| [59] | R. Nellikkath, A. Venzke, M. K. Bakhshizadeh, I. Murzakhanov, S. Chatzivasileiadis, Physics Informed Neural Networks for Phase Locked Loop Transient Stability Assessment. Submitted. 2023.[ paper ] |
| [58] | J. Stiasny, S. Chatzivasileiadis, B. Zhang, Solving Differential-Algebraic Equations in Power Systems Dynamics with Neural Networks and Spatial Decomposition. Submitted. 2023. [ paper ] |
| [57] | R. Nellikkath, S. Chatzivasileiadis, Enriching Neural Network Training Dataset to Improve Worst-Case Performance Guarantees. Accepted to IEEE Powertech 2023. [ paper ] |
| [56] | S. Stock, J. Stiasny, D. Babazadeh, C. Becker, S. Chatzivasileiadis, Bayesian Physics-Informed Neural Networks for Robust System Identification of Power Systems. Accepted to IEEE Powertech 2023. [ paper ] |
| [55] | V. Dvorkin, S. Chevalier, S. Chatzivasileiadis. Emission-Aware Optimization of Gas Networks: Input-Convex Neural Network Approach. Accepted to Climate Change Workshop of ICLR 2023. [ paper ] |
| [54] | B. Sævarsson, S. Chatzivasileiadis, H. Johannsson, J. Østergaard. Quantum Computing for Power Flow Algorithms: Testing on real Quantum Computers. 2022 iREP Symposium - Bulk Power System Dynamics and Control - XI (iREP). Banff, Canada. July 2022. [ paper ] |
| [53] | J. Stiasny, S. Chevalier, R. Nellikkath, B. Sævarsson, S. Chatzivasileiadis. Closing the Loop: A Framework for Trustworthy Machine Learning in Power Systems. Accepted to 2022 iREP Symposium - Bulk Power System Dynamics and Control - XI (iREP). Banff, Canada. July 2022. [ paper | code ] |
| [52] | I. Murzakhanov, A. Venzke, G. S. Misyris, S. Chatzivasileiadis. Neural Networks for Encoding Dynamic Security-Constrained Optimal Power Flow. 2022 iREP Symposium - Bulk Power System Dynamics and Control - XI (iREP). Banff, Canada. 2022. [ .pdf | | slides | video ] |
| [47] | S. Chevalier, J. Stiasny, S. Chatzivasileiadis, Accelerating Dynamical System Simulations with Contracting and Physics-Projected Neural-Newton Solvers. 4th Annual Learning for Dynamics & Control Conference (L4DC). Stanford, CA, USA. June, 2022. [ paper | code ] |
| [46] | G. S. Misyris, J. Stiasny, S. Chatzivasileiadis, Capturing Power System Dynamics by Physics-Informed Neural Networks and Optimization. IEEE Conference on Decision and Control 2021 (online). [ .pdf ] |
| [45] | J. Stiasny, S. Chevalier, S. Chatzivasileiadis, Learning without Data: Physics-Informed Neural Networks for Fast Time-Domain Simulation. In IEEE SmartGridComm 2021, Aachen, Germany, October 2021. [ paper | code ] |
| [44] | R. Nellikkath, S. Chatzivasileiadis, Physics-Informed Neural Networks for Minimising Worst-Case Violations in DC Optimal Power Flow. In IEEE SmartGridComm 2021, Aachen, Germany, October 2021. [ paper | code ] |
| [43] | Y. Lu, I. Murzakhanov, S. Chatzivasileiadis, Neural network interpretability for forecasting of aggregated renewable generation. In IEEE SmartGridComm 2021, Aachen, Germany, October 2021. [ .pdf | code ] |
| [42] | E. Prat, L. Herre, J. Kazempour, S. Chatzivasileiadis, Design of a Continuous Local Flexibility Market with Network Constraints. In IEEE Powertech 2021, Madrid, Spain, pages 1-6, June 2021. [ .pdf ] |
| [41] | J. Stiasny, G. S. Misyris, S. Chatzivasileiadis, Physics-Informed Neural Networks for Non-linear System Identification applied to Power System Dynamics. In IEEE Powertech 2021, Madrid, Spain, pages 1-6, June 2021. [ .pdf ] |
| [40] | A. Venzke, G. Qu, S. Low, S. Chatzivasileiadis, Learning Optimal Power Flow: Worst-case Guarantees for Neural Networks. IEEE SmartGridComm 2020. Best Student Paper Award! [ .pdf | code | slides | poster | video ] |
| [39] | G. Misyris, T. Van Cutsem, J. Møller, M. Dijokas, O. Renom-Estragués, B. Bastin, S. Chatzivasileiadis, A. Nielsen, T. Weckesser, J. Østergaard, F. Kryezi, North Sea Wind Power Hub: System Configurations, Grid Implementation and Techno-economic Assessment. Cigre Paris Session 2020. [ .pdf ] |
| [38] | A. Tosatto, M. Dijokas, D. Obradovic, T. Weckesser, R. Eriksson, J. Josefsson, A. Krontiris, M. Ghandhari, J. Østergaard, S. Chatzivasileiadis, Market Integration of HVDC Lines: Cost Savings from Loss Allocation and Redispatching. Cigre Paris Session 2020. [ .pdf ] |
| [37] | G. S. Misyris, A. Venzke, S. Chatzivasileiadis, Physics-Informed Neural Networks for Power Systems. Selected for the Best Paper Session at IEEE PES General Meeting 2020, Montreal, Canada. [ .pdf | code | slides | video ] |
| [36] | C. Hidalgo-Arteaga, F. Hancharou, F. Thams, S. Chatzivasileiadis, Deep Learning for Power System Security Assessment. In IEEE Powertech 2019, Milan, Italy, pages 1-6, June 2019. [ .pdf ] |
| [35] | G. Misyris, S. Chatzivasileiadis, T. Weckesser, Grid Supporting VSCs in Power Systems with Varying Inertia and Short-Circuit Capacity. In IEEE Powertech 2019, Milan, Italy, pages 1-6, June 2019. [ .pdf ] |
| [34] | G. Misyris, S. Chatzivasileiadis, T. Weckesser. Robust Frequency Control for Varying Inertia Power Systems. In Innovative Smartgrid Technologies (ISGT) Europe 2018, Serajevo, Bosnia-Herzegovina, pages 1-6, October 2018. [ .pdf ] |
| [33] | A. Venzke, S. Chatzivasileiadis. Convex Relaxations of Security Constrained AC Optimal Power Flow under Uncertainty. In 20th Power Systems Computation Conference, Dublin, Ireland, pages 1-7, June 2018. [ .pdf ] |
| [32] | L. Halilbasic, F. Thams, A. Venzke, S. Chatzivasileiadis, P. Pinson. Data-driven Security-Constrained AC-OPF for Operations and Markets. In 20th Power Systems Computation Conference, Dublin, Ireland, pages 1-7, June 2018. [ .pdf ] |
| [31] | F. Thams, S. Chatzivasileiadis, R. Eriksson, DC Voltage Droop Control Structures and its Impact on the Interaction Modes in Interconnected AC-HVDC Systems. In Proc. of the 2017 IEEE PES Innovative Smart Grid Technologies Asia, Auckland, New Zealand, December 2017. [ .pdf ] |
| [30] | M. Krutova, L. v. Bremen, S. Chatzivasileiadis, Novel node selection approach for continent-wide power system studies using spatio-temporal clustering. In Proc. of 16th Wind Integration Workshop, Berlin, Germany, October 2017. [ .pdf ] |
| [29] | F. Thams, L. Halilbasic, P. Pinson, S. Chatzivasileiadis, R. Eriksson. Data-Driven Security-Constrained OPF. In 2017 iREP Symposium - Bulk Power System Dynamics and Control - IX (iREP), Porto, Portugal, pages 1 -10, August 2017. [ .pdf ] |
| [28] | L. Halilbasic, S. Chatzivasileiadis, P. Pinson. Coordinating Flexibility Under Uncertainty In Multi-area AC And DC Grids. In IEEE Powertech 2017, Manchester, UK, pages 1-6, June 2017. [ .pdf ] |
| [27] | F. Thams, S. Chatzivasileiadis, E. Prieto-Araujo, R. Eriksson. Disturbance Attenuation of DC Voltage Droop Control Structures in a Multi-Terminal HVDC Grid. In IEEE Powertech 2017, Manchester, UK, pages 1-6, June 2017. [ .pdf ] |
| [26] | T. L. Vu, S. Chatzivasileiadis, H.-D. Chang, and K. Turitsyn. Structural Emergency Control for Power Grids. In American Control Conference 2017, Seattle, WA, USA, pages 1-6, May 2017. [ .pdf ] |
| [25] | S. Chatzivasileiadis, T. L. Vu, and K. Turitsyn. Remedial actions to enhance stability of low-inertia systems. In IEEE Power and Energy Society General Meeting 2016, Boston, MA, USA, pages 1-5, July 2016. [ bib | .pdf ] |
| [24] | J. Schmidli, L. Roald, S. Chatzivasileiadis, and G. Andersson. Stochastic ac optimal power flow with approximate chance-constraints. In IEEE Power and Energy Society General Meeting 2016, Boston, MA, USA, pages 1-5, July 2016. [ bib | .pdf ] |
| [23] | T. L. Vu, S. Chatzivasileiadis, and K. Turitsyn. Towards electronics-based emergency control in power grids with high renewable penetration. In American Control Conference 2016, Boston, MA, USA, pages 1-8, July 2016. [ bib | .pdf ] |
| [22] | S. Rotger-Griful, S. Chatzivasileiadis, R. Hylsberg Jacobsen, E. M. Stewart, J. Matanza Domingo, and M. Wetter. Hardware-in-the-loop co-simulation of distribution grid for demand response. In 19th Power Systems Computation Conference, pages 1-7, June 2016. [ bib | .pdf ] |
| [21] | C. Marnay, S. Chatzivasileiadis, J. Geza, C. Abbey, P. Lombardi, R. Iravani, P. Mancarella, and J. von Appen. Microgrid evolution roadmap: Engineering, economics, and experience. In International Symposium on Smart Electric Distribution Systems and Technologies (EDST) 2015, September 2015. [ bib | .pdf ] |
| [20] | S. Chatzivasileiadis and G. Andersson. Security constrained OPF incorporating corrective control of HVDC. In 14th Power Systems Computation Conference, pages 1 -8, August 2014. [ bib | full paper | presentation ] |
| [19] | A. Ulbig, T. Rinke, S. Chatzivasileiadis, and G. Andersson. Predictive control for real-time frequency control and frequency inertia provision in power systems. In 52nd IEEE Conference on Decision and Control, pages 1 -8, December 2013. [ bib | .pdf ] |
| [18] | M. Vrakopoulou, S. Chatzivasileiadis, and G. Andersson. Probabilistic security-constrained optimal power flow including the controllability of HVDC lines. In IEEE Innovative Smartgrid Technologies (ISGT) 2013, pages 1 -5, October 2013. [ bib | .pdf ] |
| [17] | M. Vrakopoulou, S. Chatzivasileiadis, E. Iggland, M. Imhof, T. Krause, O. Mäkelä, J. Mathieu, L. Roald, R. Wiget, and G. Andersson. A unified analysis of security-constrained OPF formulations considering uncertainty, risk, and controllability in single and multi-area systems. In 2013 iREP Symposium - Bulk Power System Dynamics and Control - IX (iREP), Rethymnon, Greece, pages 1 -19, August 2013. [ bib | full paper | closure ] |
| [16] | S. Chatzivasileiadis, T. Krause, and G. Andersson. Supergrid or local network reinforcements, and the value of controllability - an analytical approach. In IEEE Powertech 2013, pages 1 -6, June 2013. [ bib | full paper | presentation ] |
| [15] | S. Chatzivasileiadis, T. Krause, and G. Andersson. HVDC line placement for maximizing social welfare - an analytical approach. In IEEE Powertech 2013, pages 1 -6, June 2013. [ bib | full paper | presentation ] |
| [14] | S. Chatzivasileiadis, T. Krause, and G. Andersson. Security-constrained optimal power flow including post-contingency control of VSC-HVDC lines. In XII SEPOPE, Rio de Janeiro, Brazil, pages 1 -12, May 2012. [ bib | full paper | presentation ] |
| [13] | T. Krause, S. Chatzivasileiadis, M. Katsampani, and G. Andersson. Impacts of grid reinforcements on the strategic behavior of power market participants. In 9th International Conference on the European Energy Market (EEM), Florence, Italy, pages 1 -8, May 2012. [ bib | .pdf ] |
| [12] | S. Koch, M.D. Galus, S. Chatzivasileiadis, and G. Andersson. Emergency control concepts for future power systems. In 18th IFAC World Congress, Milan, Italy, pages 1 -9, August 2011. [ bib | .pdf ] |
| [11] | A. Ulbig, M. Arnold, S. Chatzivasileiadis, and G. Andersson. Framework for multiple time-scale cascaded MPC application in power systems. In 18th IFAC World Congress, Milan, Italy, pages 1 -9, August 2011. [ bib | .pdf ] |
| [10] | S. Chatzivasileiadis, M. Bucher, M. Arnold, T. Krause, and G. Andersson. Incentives for optimal integration of fluctuating power generation. In 17th Power Systems Computation Conference (PSCC), Stockholm, Sweden, pages 1-8, August 2011. [ bib | full paper | presentation ] |
| [9] | S. Chatzivasileiadis, T. Krause, and G. Andersson. Flexible AC transmission systems (FACTS) and power system security - a valuation framework. In IEEE Power and Energy Society General Meeting 2011, Detroit, USA, pages 1 -8, July 2011. [ bib | full paper | presentation ] |
| [8] | S. Chatzivasileiadis, M.D. Galus, Y. Reckinger, and G. Andersson. Q-learning for optimal deployment strategies of frequency controllers using the aggregated storage of PHEV fleets. In IEEE PowerTech 2011, Trondheim, Norway, pages 1 -8, June 2011. [ bib | .pdf ] |
| [7] | S. Koch, S. Chatzivasileiadis, M. Vrakopoulou, and G. Andersson. Mitigation of cascading failures by real-time controlled islanding and graceful load shedding. In 2010 iREP Symposium - Bulk Power System Dynamics and Control - VIII (iREP), Buzios, Brazil, pages 1 -19, Aug. 2010. [ bib | full paper | presentation ] |
| [6] | A. Ulbig, M.D. Galus, S. Chatzivasileiadis, and G. Andersson. General frequency control with aggregated control reserve capacity from time-varying sources: The case of PHEVs. In 2010 iREP Symposium - Bulk Power System Dynamics and Control - VIII (iREP), Buzios, Brazil, pages 1 -14, Aug. 2010. [ bib | .pdf ] |
| [5] | A.L. Dimeas, S.I. Hatzivasiliadis, and N.D. Hatziargyriou. Control agents for enabling customer-driven microgrids. In IEEE Power and Energy Society General Meeting 2009, Calgary, Canada, pages 1 -7, July 2009. [ bib | .pdf ] |
| [4] | A. Dimeas, N. Hatziargyriou, S. Chatzivassiliadis, P. Moutis, and T. Tomtsi. Multi-agent system for creation of virtual power plant (VPP) with aggregated and decentralized control. In 3rd International Conference on Integration of Renewable and Distributed Energy Recources (IRED), Nice, France, December 2008. [ bib ] |
| [3] | A. Dimeas, N. Hatziargyriou, and S. Chatzivasiliadis. Design of an agent based virtual power plant with aggregated load. In 6th Mediterranean Conference and Exhibition on Power Generation, Transmission and Distribution (MedPower), Thessaloniki, Greece, November 2008. [ bib ] |
| [2] | A. Dimeas, N. Hatziargyriou, and S. Hatzivasiliadis. Implementation of agent based control for microgrids in the island of Kythnos. In 6th Mediterranean Conference and Exhibition on Power Generation, Transmission and Distribution (MedPower), Thessaloniki, Greece, November 2008. [ bib ] |
| [1] | S.J. Chatzivasiliadis, N.D. Hatziargyriou, and A.L. Dimeas. Development of an agent based intelligent control system for microgrids. In IEEE Power and Energy Society General Meeting 2008, Pittsburgh, USA, pages 1 -6, July 2008. [ bib | .pdf ] |
Book Chapters
| [2] | S. Chatzivasileiadis and D. Ernst. Towards a Global Grid: The state of play in cross-border electricity markets. In Thomas Cottier, editor, International Trade in Electricity and the Greening Economy. To be published by Cambridge University Press, 2016. [ bib | preprint ] |
| [1] | S. Chatzivasileiadis, D. Ernst, and G. Andersson. Global power grids for harnessing world renewable energy. In Lawrence E. Jones, editor, Renewable Energy Integration: Practical Management of Variability, Uncertainty and Flexibility in Power Grids, pages 175 - 188. Academic Press, Boston, 2014. [ bib | .pdf ] |
Theses
| [2] | Spyridon (Spyros) Chatzivasileiadis. Power System Planning and Operation Methods Integrating the Controllability of HVDC. PhD thesis, No. 21460, ETH Zurich, Switzerland, 2013. [ bib | abstract | full text ] |
| [1] | Spyridon (Spyros) Chatzivasileiadis. Development of a Control System for Islanded Power Systems based on Intelligent Agents Technology. Diploma thesis, National Technical University of Athens, Greece, 2007. [ bib | abstract (in English) | full text (in Greek) ] |
Further Publications
| [8] | R. I. Hamilton, J. Stiasny, T. Ahmad, S. Chevalier, R. Nellikkath, I. Murzakhanov, S. Chatzivasileiadis, P. N. Papadopoulos, Interpretable Machine Learning for Power Systems: Establishing Confidence in SHapley Additive exPlanations. Working Paper. 2022. [ paper ] |
| [7] | J. Stiasny, G. S. Misyris, S. Chatzivasileiadis Transient Stability Analysis with Physics-Informed Neural Networks. Working Paper. 2021. [ paper | code ] |
| [6] | A. Alarcon-Cobacho, E. Prat, D. Vázquez-Pombo, S. Chatzivasileiadis. Auction-Based vs Continuous Clearing in Local Flexibility Markets with Block Bids. Working Paper. 2021 [ paper | code ] |
| [5] | S. Backhaus, G.W. Swift, S. Chatzivasileiadis, W. Tschudi, S. Glover, M. Starke, J. Wang, M. Yue, and D. Hammerstrom. DC microgrids scoping study —- estimate of technical and economic benefits. LA‐UR‐15‐22097. Study funded by the Office of Electricity Delivery and Energy Reliability of the U.S. Department of Energy, 2015. [ bib | .pdf ] |
| [4] | C. Marnay, C. Abbey, G. Joos, K. Ash, S. Bando, M. Braun, S. Chatzivasileiadis, J. Driesen, N. Hatziargyriou, R. Iravani, G. Jimenez, F. Katiraei, P. Lombardi, K. Lunch, P. Mancarella, D. Moneta, C. Moreira, A. Oudalov, M. Khattabi, G. Morris, Y. Nakanishi, J. Reilly, M. Ross, T. Shinji, and J. von Appen. Microgrids 1: Engineering, economics, experience. WG C6.22: Microgrids Evolution Roadmap, Technical Report (Brochure), Cigre, 2014. [ bib ] |
| [3] | Spyros Chatzivasileiadis. Transmission investments in deregulated electricity markets. Technical Report, ETH Zurich, EEH Power Systems Laboratory, 2012. [ bib | .pdf ] |
| [2] | IRENE-40 European Project. Deliverable 3.1: Application Guide for the Improvement of Ecological Sustainability, Security and Competitiveness by Infrastructural Changes, 2012. [ bib | .pdf Part I | .pdf Part II ] |
| [1] | IRENE-40 European Project. Deliverable 4.0: Roadmap towards a Future Electricity Network, 2012. [ bib | .pdf ] |
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