- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Electric Power System Optimization
- Integrated Energy Systems Optimization
- Electric Vehicles and Infrastructure
- Energy Load and Power Forecasting
- Microgrid Control and Optimization
- Smart Grid and Power Systems
- Smart Grid Security and Resilience
- Network Security and Intrusion Detection
- Advanced Manufacturing and Logistics Optimization
- Energy and Environment Impacts
- FinTech, Crowdfunding, Digital Finance
- Blockchain Technology Applications and Security
- Data Stream Mining Techniques
- Power Systems and Technologies
- Advanced Bandit Algorithms Research
- Renewable energy and sustainable power systems
University College Cork
2020-2024
École Normale Supérieure de Rennes
2024
Institut d'Électronique et des Technologies du numéRique
2024
CentraleSupélec
2024
Université Toulouse - Jean Jaurès
2024
Université Toulouse III - Paul Sabatier
2024
Institut de Recherche en Informatique de Toulouse
2024
Université Toulouse-I-Capitole
2024
Institut Polytechnique de Bordeaux
2024
Laboratoire des systèmes et applications des technologies de l'information et de l'énergie
2024
Due to high penetration of distributed renewable energy resources and their inflexible dispatch nature, modern future electrical grids are facing technical challenges. New participants can offer the flexibility required by grid through investments in storage demand response capabilities. This article provides a comprehensive review on concept Energy Communities, economic motivations, available literature, trading schemes, price negotiation algorithms, benefits for grid. Furthermore, this...
With the rising concerns about climate change and technological developments, deployment of low carbon technologies (LCT) is gaining importance for reliable sustainable power system operation. To decarbonize heat transportation sectors, LCTs such as pumps (HP) electric vehicles (EV) are integrated into from voltage (LV) distribution network, where predominantly end-users connected. However, increasing penetration EVs HPs, together with distributed photovoltaic (PV) systems on demand side,...
Power distribution systems are experiencing large deployment of behind-the-meter distributed generation and storage along with electrified transport heat, requiring fundamental changes in planning operation. There increasing efforts to directly model real large-scale networks conduct detailed analysis beyond conventional practices. Utilizing optimization methods leverage the benefit system all customers is ideal. However, progress towards adoption such controls by operators impeded concerns...
Small-scale distributed generation (DG) installations, like rooftop solar photovoltaics, are adopted earlier in high-income households than other portions of society. This can limit grid electricity export capacity for latecomers, causing inequitable access and slower renewables deployment. In search an equitable solution, this work challenges current DG permissioning practices: instead applying rules thumb to assign DG, we propose a policy that represents limitations at all hierarchies the...
A novel distributed energy resources (DER) allocation method focused on grid constraints that avoids topological bias is proposed for distribution networks.A technology-agnostic approach used, where a non-bias of export capacity (NAEC) not specific to generation type calculated.Moreover, the NAEC extended from an into hosting (HC) using statistical approach.The methods are tested IEEE 33-bus system, and two typical Irish feeders -one urban, one rural-as case studies.Using high-resolution...
Due to high penetration of Distributed Renewable Energy Resources and their inflexible dispatch nature, modern future electrical grids are facing technical challenges. New participants can offer the flexibility required by grid through investments in Storage Demand Response capabilities, however, traditional Peer-to-Peer business models insufficient take advantage such flexibility. This article provides a comprehensive review on concept Communities, economic motivations, available resources...
This paper investigates the economic implications that high penetrations of distributed energy resources (DER) have in future distribution networks, and proposes a novel scalable scheme for assignment use network charges based on individual participant nodes' revenue. For validation purposes, techno-economic simulation is proposed to understand how power revenue flows will change. A year-long high-resolution quasi-static time series (QSTS) simulation, two price schemes, four trading...
A novel distributed energy resources (DER) allocation method focused on grid constraints that avoids topological bias is proposed for distribution networks. technology-agnostic approach used, where a non-bias of export capacity (NAEC) not specific to generation type calculated. Moreover, the NAEC extended from an into hosting (HC) using statistical approach. The methods are tested IEEE 33-bus system, and two typical Irish feeders -one urban, one rural- as case studies. Using high-resolution...
This article presents a novel numerical approach aimed at finding distribution network expansion plan that prevents future congestion and voltage issues. Forecasted duration intensity of thermal violation events are used to determine pool potential candidates for infrastructure (i.e., line/cable) upgrade, regulator, energy storage system installations. is complemented with an algorithm obtain the minimum-cost list these solves all constraint using binary linear programming. validated...
Within the framework of energy transition, electrical distribution grid operators require effective tools to predict demand individual users. These are necessary for an adequate planning future generation resources and infrastructure modernization. However, understanding electricity needs poses a significant challenge, especially in emerging economies, where historical data manually collected on monthly or bi-monthly basis exhibit amount missing information. In response above, this work...
Future local energy trading schemes represent an important economic incentive for inclusion of distributed resources (DER) and flexibility in communities. Nonetheless, at the low voltage level are envisioned to result unattended bids offers energy. In absence alternative, these leftovers expected be captured by supplier a price (in case excess energy) high requirements), which can significant benefits. This paper proposes decentralised offline method transfer this benefit from communities...
<p>This article presents a novel numerical approach aimed at finding distribution network expansion plan that prevents future congestion and voltage issues. Forecasted duration intensity of thermal violation events are used to determine pool potential candidates for infrastructure (i.e., line/cable) upgrade, regulator, energy storage system installations. This is complemented with an algorithm obtain the minimum-cost list these solves all constraint using binary linear programming....
<p>This article presents a novel numerical approach aimed at finding distribution network expansion plan that prevents future congestion and voltage issues. Forecasted duration intensity of thermal violation events are used to determine pool potential candidates for infrastructure (i.e., line/cable) upgrade, regulator, energy storage system installations. This is complemented with an algorithm obtain the minimum-cost list these solves all constraint using binary linear programming....
This paper investigates the economic implications that high penetrations of distributed energy resources (DER) have in future distribution networks, and proposes a novel scalable scheme for assignment use network charges based on individual participant nodes' revenue. For validation purposes, techno-economic simulation is proposed to understand how power revenue flows will change. A year-long high-resolution quasi-static time series (QSTS) simulation, two price schemes, four trading...
With the rapid development in Distributed Energy Resources (DER) and their high penetration medium voltage (MV) distribution networks, there is significant research interest new operational scenarios involving Local Markets (LEM). The evolution of Internet Things (IoT) cryptocurrencies are envisaged to empower LEM schemes such as Peer-to-Peer (P2P) energy trading. P2P trading has potential decentralize present networks' operation, but it unclear how current grid will respond massive...
<p>Power distribution networks are experiencing large deployment of behind-the-meter distributed generation and storage along with electrified transport heat, requiring fundamental changes in planning operation. Synthetic representative may not be sufficient to fully address the needs researchers, operators decision-makers. There increasing efforts directly model large-scale real conduct detailed analysis beyond conventional practices. This paper presents a medium voltage (MV)-low (LV)...
<p>Power distribution networks are experiencing large deployment of behind-the-meter distributed generation and storage along with electrified transport heat, requiring fundamental changes in planning operation. Synthetic representative may not be sufficient to fully address the needs researchers, operators decision-makers. There increasing efforts directly model large-scale real conduct detailed analysis beyond conventional practices. This paper presents a medium voltage (MV)-low (LV)...