A5015404444- Power System Optimization and Stability
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Power System Reliability and Maintenance
- HVDC Systems and Fault Protection
- Electric Power System Optimization
- Smart Grid Energy Management
- Real-time simulation and control systems
- Smart Grid Security and Resilience
- Energy Load and Power Forecasting
- Numerical methods for differential equations
- Power Systems and Technologies
- Modeling and Simulation Systems
- Distributed and Parallel Computing Systems
- Probabilistic and Robust Engineering Design
- Cardiac tumors and thrombi
- Chronic Lymphocytic Leukemia Research
- Integrated Energy Systems Optimization
- Advanced DC-DC Converters
- Advanced MIMO Systems Optimization
- Fault Detection and Control Systems
- Advanced Optimization Algorithms Research
- High-Voltage Power Transmission Systems
- Image and Signal Denoising Methods
- Islanding Detection in Power Systems
Électricité de France (France)
2014-2025
Laboratoire des signaux et systèmes
2025
Institute of Electrical and Electronics Engineers
2022-2024
Strategic Education Research Partnership
2023-2024
University of Liège
2014-2024
Community Initiatives
2022-2023
Ministère des Armées
2022
Raidió Teilifís Éireann (Ireland)
2015-2018
Université de Lille
2016
University of Genoa
2014
This paper deals with day-ahead security management respect to a postulated set of contingencies, while taking into account uncertainties about the next day generation/load scenario. In order help system operator in decision making under uncertainty, we aim at ranking these contingencies four clusters according type control actions needed cover worst uncertainty pattern each contingency branch overload. To this end use fixed point algorithm that loops over two main modules: discrete bi-level...
In recent years, the power systems research community has seen an explosion of novel methods for formulating AC flow equations. Consequently, benchmarking studies using seminal Optimal Power Flow (AC-OPF) problem have emerged as primary method evaluating these emerging methods. However, it is often difficult to directly compare due subtle differences in AC-OPF formulation well network, generation, and loading data that are used evaluation. To help address challenges, this IEEE PES Task Force...
In this paper, the stochastic characteristics of electric consumption in France are analyzed. It is shown that load time series exhibit lasting abrupt changes pattern, termed breaks. The goal to propose an efficient and robust forecasting method for prediction up a day-ahead. To end, two new procedures outlier identification suppression developed. They multivariate ratio-of-medians-based estimator (RME) minimum-Hellinger-distance-based (MHDE). performance proposed methods has been evaluated...
In this paper, we publish nine new test cases in MATPOWER format. Four are French very high-voltage grid generated by the offline plateform of iTesla: part data was sampled. RTE snapshots full and that come from SCADAs via Convergence software. The ninth largest case is a pan-European ficticious set stems PEGASE project. It complements four previously published version 5.1 March 2015. We also provide MATLAB code to transform into standard mathematical optimization Computational results...
Finding a global solution to the optimal power flow (OPF) problem is difficult due its nonconvexity. A convex relaxation in form of semidefinite programPming (SDP) has attracted much attention lately as it yields several practical cases. However, does not all cases, and such cases have been documented recent publications. This paper presents another SDP method known moment-sos (sum squares) approach, which generates sequence that converges towards OPF at cost higher runtime. Our finding...
A power grid is a critical infrastructure that relies on supervisory control and data acquisition (SCADA) systems for monitoring, control, operation. On top of the reside layers information communications technology (ICT) are interconnected with electric grids. The cyber infrastructures together constitute large, complex cyberphysical system. ICTs grids have evolved from isolated structures into open networked environments based TCP/IP Ethernet. known to be vulnerable respect...
This paper presents a computational platform for dynamic security assessment (DSA) of large electricity grids, developed as part the iTesla project. It leverages high performance computing to analyze power systems, with many scenarios and possible contingencies, thus paving way pan-European operational stability analysis. The results DSA are summarized by decision trees 11 indicators. platform's workflow parallel implementation architecture is described in detail, including commercial tools...
Power networks, responsible for transporting electricity across large geographical regions, are complex infrastructures on which modern life critically depend. Variations in demand and production profiles, with increasing renewable energy integration, as well the high voltage network technology, constitute a real challenge human operators when optimizing transportation while avoiding blackouts. Motivated to investigate potential of AI methods enabling adaptability power operation, we have...
This paper deals with day-ahead power systems security planning under uncertainties by posing an optimization problem over a set of injection scenarios that could show up the next day and modeling day's real-time control strategies aiming at ensuring respect to contingencies combination preventive corrective controls. We seek determine whether which decisions must be taken so that, for day, there still exists acceptable controls system any postulated contingency. formulate this task as...
Over the last ten years, we have heard so often in conferences, seminars, and workshops that power system will soon be operated very near to its limits this statement has become a cliché. Unfortunately, it is no longer possible comply with classical preventive N-1 security standards during all of hours year. The indeed able survive single faults without postfault actions. More more corrective (i.e., postfault) actions are defined prepared by operators, cliché now reality, as matter fact. To...
Power system planning and operation offers multitudinous opportunities for optimization methods. In practice, these problems are generally large-scale, non-linear, subject to uncertainties, combine both continuous discrete variables. the recent years, a number of complementary theoretical advances in addressing such have been obtained field applied mathematics. The paper introduces selection fields non-convex optimization, mixed-integer programming, under uncertainty. practical relevance...
A reduced-order, "grey-box" model of an active distribution network, intended for dynamic simulations the transmission system, is derived. The network hosts inverter-based generators as well static and motor loads, whose parameters are affected by uncertainty. This issue addressed using Monte-Carlo simulations. equivalent adjusted to match closely possible average randomized responses, while their dispersion accounted through weights weighted least-square minimization. procedure used remove...
The increasing uncertainty that surrounds electricity system operation renders security assessment a highly challenging task; the range of possible operating states expands, rendering traditional approaches based on heuristic practices and ad hoc analysis obsolete. In turn, machine learning can be used to construct surrogate models approximating system's boundary in region operation. To this end, past history useful for generating anticipated suitable training. However, inferring underlying...
Abstract Motivated by the increasing need to hedge against load and generation uncertainty in operation of power grids, we propose flexibility maximization during operation. We consider explicitly as amount that can be handled while still ensuring nominal grid worst case. apply proposed optimization context a DC flow approximation. By using corresponding parameterization, find maximal range for manageable transfer between two parts network subject uncertainty. formulate problem an...
In the scope of a recently launched European Research Project, team experts from public laboratories and TSO is in charge defining concepts methodological approaches to design analyse technical economic feasibility future HVDC grids. This work aims at identifying, assessing comparing several possible network topologies, with appropriate control protection schemes, able collect wind energy on large areas, transmit it best points AC grid provide necessary ancillary services for optimising DC /...
Dynamic modeling and time-domain simulation for power systems is inconsistent across different platforms, which makes it difficult engineers to consistently exchange models assess model quality. Therefore, there a clear need unambiguous dynamic exchange. In this article, possible solution proposed by using open equation-based Modelica tools. The nature of the language supports at "equation-level", allows between Modelica-based tools without loss information about model. An example system two...
We address the problem of assisting human dispatchers in operating power grids today's changing context using machine learning, with theaim increasing security and reducing costs. Power networks are highly regulated systems, which at all times must meet varying demands electricity a complex production system, including conventional plants, less predictable renewable energies (such as wind or solar power), possibility buying/selling on international market more actors involved Europeanscale....
Voltage Source Converter-based transmission grids might be the future of power system with increasing share interfaced electricity generation. These systems should able to support utility grid autonomously. The present paper focuses on VSC output filter design and internal control states. Nested AC current voltage loops are state art for converters, controlled as sources, in Microgrid or UPS applications. controls candidates industrial implementation at high level. However, a based system,...
A semidefinite programming (SDP) relaxation globally solves many optimal power flow (OPF) problems. For other OPF problems where the SDP only provides a lower bound on objective value rather than decision variables, recent literature has proposed penalization approach to find feasible points that are often nearly optimal. disadvantage of this is need specify penalty parameters. This paper presents an alternative algorithmically determines appropriate for The constrains generation cost be...