Hi, I’m Julian and I’m a PhD student with the School of Engineering of the University of Applied Sciences of Western Switzerland and with the Department of Quantum Matter Physics (DQMP) of the University of Geneva. My research focuses on voltage frequency dynamics in large high-voltage power grids. I’m interested in understanding the mechanisms behind oscillations between geographically separated areas and the impact the energy transition has on them. Furthermore, I work on model reduction and using physics informed machine learning for parameter estimation.
You can find our group website under https://etranselec.ch
Université de Genève
PhD in Physics
Working on my PhD thesis in the group of Prof. Philippe Jacquod.
M.Sc. in Physics
Focus on theoretical physics with classes on string theory and gauge/gravity duality. I’ve written my Master’s thesis entitled “Quasinormal modes of holographics superconductors” in the group of Prof. Johanna Erdmenger.
University of Texas at Austin
I spent the first two semesters of my Master’s degree at UT Austin. I took classes on, among others, elemental particle physics, quantum field theory, solid state physics, and a class on astro-physics with Steven Weinberg.
B.Sc. in Physics
I’ve written my Bachelor’s thesis entitled “AdS/CFT und schwarze Löcher” (“AdS/CFT and black holes”) in the group of Prof. Johanna Erdmenger.
Transmission grid stability with large scale power flows due to renewables
María Martínez-Barbeito, Damià Gomila, Julian Fritzsch, Philippe Jacquod, Pere ColetarXiv:2311.17709
We propose a general methodology for identifying critical lines in the long-distance transmission of power across large electrical networks. When the system is pushed to its limits of operation due to large power imbalances or contingencies, the network may lose synchrony. We analyze the Continental Europe grid as a case study and find that instabilities emerge due to topological constraints by which the system loses its stable fixed point (synchronized state), causing the grid to split into two asynchronous zones. We discuss also how the modes of the system provide information on which areas are more susceptible to lose synchrony.
A Novel Adaptive Inertia Strategy in Large-Scale Electric Power Grids
Julian Fritzsch, Philippe JacquodarXiv:2311.01350
The increasing penetration of new renewable sources of energy in today’s power grids is accompanied by a decrease in available electromechanical inertia. This leads to a reduced dynamical stability. To counterbalance this effect, virtual synchronous generators have been proposed to emulate conventional generators and provide inertia to power systems. The high flexibility of these devices makes it possible to control the synthetic inertia they provide and to have them operate even more efficiently than the electromechanical inertia they replace. Here, we propose a novel control scheme for virtual synchronous generators, where the amount of inertia provided is large at short times - thereby absorbing local faults and disturbances as efficiently as conventional generators - but decreases over a tunable time interval to prevent long-time coherent oscillations from setting in. This new model is used to investigate the effect of adaptive inertia on large-scale power grids. Our model outperforms conventional constant inertia in all scenarios and for all performance measures considered. We show how an optimized geographical distribution of adaptive inertia devices not only effectively absorbs local faults, but also significantly improves the damping of inter-area oscillations.
The Grengiols-Saflischtal Photovoltaic Solar Farm: an Independent Analysis
Julian Fritzsch, Philippe Jacquod, Laurent PagnierReasearchgate
With the current energy crisis affecting Europe and Switzerland in particular, efficient new generations of electricpower are urgently needed. In this context, a number of proposals has been put forward to increase our country’s renewable electricity production. One such project is the Grengiols–Saflischtal solar power plant. The projectis still in an early developmental stage and quantitatively reliable numbers for power production capacity and annualenergy generation do not truly exist. Given a potential area of 5 km2, an upper bound for the plant’s peak power is in the 1 GWp range, which, given the plant’s location and panel orientation may generate as much as 1.5 TWh to 2 TWh annually for bifacial photovoltaic panels. These numbers sound rather optimistic, but regardless of their accuracy, electric power generation in the range of hundreds of megawatts can only be injected into the grid at extra-high voltages of 220 kV or 380 kV, therefore, a question that naturally arises is whether Switzerland’s transmission gridcan safely absorb this additional power injection. In this report, we evaluate the maximal peak electric power that a large solar photovoltaic farm in the Grengiols–Saflischtal area could safely inject into Switzerland’s extra-high voltage grid, without jeopardizing its stability. We consider two different grids: (i) the current extra-high voltage grid operated by Swissgrid as of October 2022, and (ii) Swissgrid’s strategic grid 2025, which will be finalized no earlier than 2028.
Toward Model Reduction for Power System Transients With Physics-Informed PDE
Laurent Pagnier, Julian Fritzsch, Philippe Jacquod, Michael ChertkovIEEE Access, vol. 10, pp. 65118-65125
This manuscript reports the first step towards building a robust and efficient model reduction methodology to capture transient dynamics in a transmission level electric power system. Such dynamics is normally modeled on seconds-to-tens-of-seconds time scales by the so-called swing equations, which are ordinary differential equations defined on a spatially discrete model of the power grid. Following Seymlyen (1974) and Thorpe, Seyler, and Phadke (1999), we suggest to map the swing equations onto a linear, inhomogeneous Partial Differential Equation (PDE) of parabolic type in two space and one time dimensions with time-independent coefficients and properly defined boundary conditions. We illustrate our method on the synchronous transmission grid of continental Europe. We show that, when properly coarse-grained, i.e., with the PDE coefficients and source terms extracted from a spatial convolution procedure of the respective discrete coefficients in the swing equations, the resulting PDE reproduces faithfully and efficiently the original swing dynamics. We finally discuss future extensions of this work, where the presented PDE-based modeling will initialize a physics-informed machine learning approach for real-time modeling, n−1 feasibility assessment and transient stability analysis of power systems.
Long Wavelength Coherency in Well Connected Electric Power Networks
Julian Fritzsch, Philippe JacquodIEEE Access, vol. 10, pp. 19986-19996
We investigate coherent oscillations in large scale transmission power grids, where large groups of generators respond in unison to a distant disturbance. Such long wavelength coherent phenomena are known as inter-area oscillations. Their existence in networks of weakly connected areas is well captured by singular perturbation theory. However, they are also observed in strongly connected networks without time-scale separation, where applying singular perturbation theory is not justified. We show that the occurrence of these oscillations is actually generic. Applying matrix perturbation theory, we show that, because these modes have the lowest oscillation frequencies of the system, they are only moderately sensitive to increased network connectivity between well chosen, initially weakly connected areas, and that their general structure remains the same, regardless of the strength of the inter-area coupling. This is qualitatively understood by bringing together the standard singular perturbation theory and Courant’s nodal domain theorem.
Matrix perturbation theory of inter-area oscillations
Julian Fritzsch, Melvyn Tyloo, Philippe Jacquod60th IEEE Conference on Decision and Control (CDC)
Interconnecting power systems has a number of advantages such as better electric power quality, increased reliability of power supply, economies of scales through production and reserve pooling and so forth. Simultaneously, it may jeopardize the overall system stability with the emergence of so-called inter-area oscillations, which are coherent oscillations involving groups of rotating machines separated by large distances up to thousands of kilometers. These often weakly damped modes may have harmful consequences for grid operation, yet despite decades of investigations, the mechanisms that generate them are still poorly understood, and the existing theories are based on assumptions that are not satisfied in real power grids where such modes are observed. Here we construct a matrix perturbation theory of large interconnected power systems that clarifies the origin and the conditions for the emergence of inter-area oscillations. We show that coherent inter-area oscillations emerge from the zero-modes of a multi-area network Laplacian matrix, which hybridize only weakly with other modes, even under significant capacity of the inter-area tie-lines, i.e. even when the standard assumption of area partitioning is not satisfied. The general theory is illustrated on a two-area system, and numerically applied to the well-connected PanTaGruEl model of the synchronous grid of continental Europe.
Improving Power Grid Stability With Adaptive Inertia
Third Champéry Power Conference 2024 - Champéry
Increasing Power Grid Performance Using Adaptive Inertia
Dynamics Days Europe 2023 - Naples
Long Wavelength Coherency from Matrix Perturbation Theory
Conference on Complex Systems 2022 - Palma de Mallorca
Frequency Dynamics of Power Grids
Young Researchers Day 2022 - University of Geneva
Long Wavelength Coherency in Well Connected Electric Power Networks (Poster)
Annual Meeting of the Swiss Physical Society 2022 - Fribourg
Long Wavelength Coherence in Well Connected Power Grids
Conference on Complex Systems 2021 - Lyon
Long Wavelength Coherence in Well Connected Power Grids
Dynamics Days Europe 2021 - Nice