A5057312258- Smart Grid Energy Management
- Microgrid Control and Optimization
- Electric Vehicles and Infrastructure
- Electric Power System Optimization
- Real-time simulation and control systems
- Optimal Power Flow Distribution
- Integrated Energy Systems Optimization
- Advanced Battery Technologies Research
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
- Economic theories and models
- Modeling and Simulation Systems
- Advanced Control Systems Optimization
- Energy Efficiency and Management
- Power System Reliability and Maintenance
- Wind Turbine Control Systems
- Electric and Hybrid Vehicle Technologies
- Simulation Techniques and Applications
- Frequency Control in Power Systems
- Power Systems and Renewable Energy
- Blockchain Technology Applications and Security
- Innovation Diffusion and Forecasting
- Wireless Power Transfer Systems
- Food Safety and Hygiene
- Caching and Content Delivery
Joint Research Centre
2022-2025
European Commission
2022-2024
Imperial College London
2014-2024
Delft University of Technology
2022-2023
West Virginia University
2023
American Jewish Committee
2023
Austrian Institute of Technology
2023
University of Klagenfurt
2023
University of Bath
2019-2020
This paper proposes a novel distributed solution for the operation of large populations thermostatically controlled loads (TCLs) providing frequency support. A game-theory framework is adopted, modeling TCLs as price-responsive rational agents that schedule their energy consumption and allocate response provision in order to minimize operational costs. The novelty this work lies use mean field games abstract complex interactions numbers with grid introduction an innovative market structure,...
This paper proposes novel distributed control schemes for large-scale deployment of flexible demand. The problem efficiently coordinating price-responsive appliances operating in the electricity market is tackled within a game-theoretical framework. Adopting concept Nash equilibrium and Lyapunov-based techniques, new iterative algorithm designed order to always converge satisfactory solution individual customers, which aim at minimizing their energy costs. From system perspective, it shown...
This paper proposes a fully distributed control strategy for the management of micro-storage devices that perform energy arbitrage. For large storage populations, problem can be approximated as differential game with infinite players (mean field game). Through resolution coupled partial equations (PDEs), it is possible to determine, fixed point, optimal feedback each player and resulting price if applied. Once this calculated, communicated devices, which are able independently determine...
Power hardware-in-the-loop (PHIL) simulation leverages the advanced real-time emulation based technique to carry out in-depth investigations on novel real-world power components. amplifiers, sensors, and signal conversion units interfaces (PI) incorporate physical hardware systems platforms into PHIL setups. However, employment of any interfacing inevitably introduces disturbances such as sensor noise, switching harmonics, or quantization noise systems. To facilitate quantitatively analyzing...
This paper deals with control of variable speed wind turbines, which provide frequency support through temporary overproduction. In particular, it determines the optimal profile power extraction among multiple generators in order to minimize total loss efficiency, while allowing for a prescribed increase generation. Starting simplifying assumption unconstrained generated/supplied single turbine, scheduling is characterized as solution an problem. On basis this result, heuristic strategy...
This paper proposes a local market framework to allocate physical storage rights (PSRs). As product, PSRs are provided by the owners and enable participants (including arbitrageurs, renewable producers, consumers prosumers) access storage. That is, they can book in form of dispatch it at given time aiming maximize their utility function. Storage monetize unused capacity PSRs, while rest remaining additional flexibility, compete obtain on short-term basis. To design functional mechanism...
The energy transition represents the actual challenge in next future, and requires new scientific tools of analysis order to quickly effectively deploy most suitable technological solutions. This is required both reduce as much possible long test phases on field make investments more effective. paper presents Ensiel National Energy Transition Real Time Lab (ENET-RT Lab), which was launched April 2022. geographical distributed co-simulation real time laboratory composed five partners, aims...
This paper proposes a novel distributed control strategy for large-scale deployment of flexible demand. The devices are modelled as competing players that respond to iterative broadcasts price signals, scheduling their power consumption operate at minimum cost. By describing update each broadcast through multi-valued discrete-time dynamical system and by applying Lyapunov techniques, it is shown the proposed always converges stable final configuration, characterized Wardrop (or aggregative)...
Merchant transmission planning is considered as a further step toward the full liberalization of electricity industry. However, previous modeling approaches do not comprehensively explore its social efficiency they cannot effectively deal with large number merchant companies. This paper addresses this fundamental challenge by adopting novel non-cooperative game-theoretic approach. Specifically, companies assumed sufficiently to be approximated continuum. allows derivation mathematical...
The significant reduction in the system inertial response due to increasing penetration of converter-interfaced renewable generators may reduce ability safely control post-fault frequency dynamics. Larger volumes flexible ancillary services be required ensure stability. Part these additional regulation resources procured from other power systems by means existing and new interconnectors. paper investigates this framework assessing techno-economic benefits interconnectors that operate a...
This paper investigates the potential contribution that interconnectors can provide to efficiently support security of interconnected power systems. The proposed modelling setup introduces a radical paradigm shift in operation and their interactions with multiple markets. To best our knowledge, this is first models simultaneous allocation interconnector capacity for exchange energy inertia-dependent primary frequency response. benefits impact new methodology are evaluated typical market...
This paper proposes a novel decentralized technique for efficient integration of flexible demand in the electricity market. The analysis focuses on price-responsive appliances that schedule their power consumption basis demand/price signal received by central entity. Previous work has shown that, when devices population is sufficiently large to be described as continuum, it possible provide necessary and sufficient conditions existence Nash equilibrium (no device unilateral interest changing...
This paper presents a novel distributed control strategy for large-scale deployment of flexible demand in power systems. A game theoretical setting is adopted, modeling the loads as rational players that aim to complete an assigned task at minimum cost and compete consumption cheapest hours day. The main novelty analysis systems with congestion: proposed framework envisages heterogeneous groups operate different buses, connected by transmission lines limited capacity. locational marginal...
This paper deals with flexible electrical devices that, on the basis of a broadcast price signal, schedule their individual power consumption in order to minimize energy cost. If population is sufficiently large be described as continuum, it possible provide necessary and sufficient conditions for existence Nash equilibrium market. done by comparing two functions which characterize, respectively, valley capacity inflexible demand global properties appliances population. The conditions, do...
Explicit demand response plays a significant role in the future energy grid transition, as it involves end consumers smart activities and, at same time, exploits potential of flexibility, giving opportunity to operators accommodate total amount without need reinforce infrastructure. For evaluating successfulness program, thus, its advantages, is fundamental have an accurate baseline curve consumption along with meaningful key performance indicators. In this work, we propose novel way...
This paper presents a novel game theory approach for large-scale deployment of price-responsive electrical appliances. In the proposed distributed control scheme, each appliance independently schedules its power consumption on basis broadcast demand/price signal, aiming to complete task at minimum cost. The conflicting interactions appliances, competing cheapest hours day, are modelled through differential with continuum players, and efficient flexible demand is characterized as Nash...