In non-interconnected areas and island environments, energy flexibility is based on the penetration rate increase of renewable energy resources (RES) in the electricity mix, without altering the stability of the grid and the reliability of generation.
In Reunion Island, this objective is based on the development of photovoltaic (PV) conversion of solar energy. The intermittency, stochastic variability and low predictability of the solar resource encourage the development of geographically distributed production and storage units at the building (smart-building) and neighbourhood (smart-grid) scales.
This microgrids deployment is a key objective of the Intelligent Specialisation Strategy (S3) program.
The intermittency, variability and low predictability of the solar resource, as well as the distributed nature of these units, requires the development of intelligent, decentralized control strategies at the level of the various “agents” (conversion sources, storage systems and consumers).
GYSOMATE (Gestion dYnamique Supervision et Optimisation de Microréseaux urbains pour l’Autonomie du Territoire en énergie Electrique), is working on the development of an intelligent energy management system.
The project relies on the coupling of resource forecasting tools, model-based control strategies and/or multi-agent systems and ICTs.
The Management System developed objective is to mobilize flexibility mechanisms that are energy storage systems and load management, to ensure the electrical system stability at an optimal operating cost, despite a high penetration rate of intermittent renewable energies.
Supported by a team of 4 engineers, GYSOMATE entered into operational phase on October 2017.
The GYSOMATE project is divided into 4 actions:
- Action 1: Microgrid simulator
- Action 2: Connected and controllable production and storage units
- Action 3: Aggregation platform
- Action 4: Energy Management System
Action 1 : Microgrid simulator
A Real Time simulation (RT) platform is implemented at the LE2P Lab’ to emulate microgrids composed of energy conversion (PV), storage and consumption units. This platform will allow a real-time testing of Energy Management Strategies applied to various microgrids architectures under real operating conditions.
Action 2 : Connected and controllable production and storage units
Physical data made available by GYSOMATE partners will be aggregated to the LE2P data warehouse, connected to the Real Time simulation platform. These units will also be made controllable by a set of sensors and actuators.
Action 3 : Aggregation platform
The energy data provided by the partners will be aggregated to the LE2P meteorological data.
Action 4 : Energy Management System
The energy management system under development is based on Multi Agent Systems. Balancing scenarios will be generated to test in real time the Energy Management Strategies for Real-Time supervision of the emulated microgrid.
2 deliverables are expected. They will be carried out by service providers.
- Deliverable 1: Standard hardware configuration for supervision, optimal microgrids Management and analysis of their Energy behaviour and deletion potential
- Deliverable 2: Man-Machine supervision and management interface for the Energy Management System of connected urban microgrids and EV fleet remote control.
Project Manager : Dominique Grondin
- Chao Tang, IGR, Data management and analysis
- Nicolas Coquillas, Project Engineer, Real-Time Simulation Platform
- Taher Issoufaly, IGE, Multi Agent System
- Marie-Laure Perony-Charton, Valorization Engineer
Scientific Manager : Michel Benne (email@example.com)
Project Manager : Dominique Grondin (firstname.lastname@example.org)