A two tier architecture for Local Energy Market Simulation and Control

Rui Andrade (1) , Sandra Garcia Rodriguez (2) , Isabel Praça (1) , Zita Vale (1)

1 ISEP/GECAD
2 LI3A (CEA, LIST) - Intelligence Artificielle et Apprentissage Automatique (CEA, LIST)

This paper addresses energy management and security having as basis sensing and monitoring of cyber-physical infrastructure of consumers and prosumers, and their participation in the Local Energy Market (LEM). The vision is to create a layered multi-agent framework that brings a complete view of the cyber-physical system of LEM participants, and provides optimization and control of energy for said participants. The proposed system is separated into a Market layer and a Cyber-Physical layer, each of them providing different services. The cyber-physical layer, represented by SMARTERCtrol system, provides Data Monitoring and Optimized Energy Control of individual building resources. The Market layer, represented by LEM Multi-Agent System, provides Negotiation, Forecasting, and Trust Evaluation. Both systems work together to provide and integrate a tool for simulation and control of LEM.

Mots clés: Forecasting; Optimization; Energy; multi-agent system; artificial intelligence; machine learning; distributed learning; Trustworthy Artificial intelligence; data monitoring; Negotiation; Forecasting; rust Evaluation; simulation; modelling

Domaines: Intelligence artificielle [cs.AI]; Système multi-agents [cs.MA]; Systèmes et contrôle [cs.SY]; Sciences de l'environnement

Rui Andrade, Sandra Garcia Rodriguez, Isabel Praça, Zita Vale. A two tier architecture for Local Energy Market Simulation and Control. 18th International Conference on Practical Applications of Agents and Multi-Agent Systems, PAAMS 2020, Oct 2020, L'Aquila, France. pp.302-313, ⟨10.1007/978-3-030-51999-5_25⟩. ⟨cea-03593229⟩