A stochastic dynamic programming model for optimal use of local energy resources in a market environment
Résumé
The unbundling of power systems and the emergence of electricity markets favor the deployment of Distributed Generation in electricity networks. Microgrids are low-voltage distribution networks comprising micro-generation, storage devices and controllable loads that can operate interconnected or isolated from the main distribution grid as a controlled entity. This paper proposes a new method, based on stochastic optimization, to optimize the operation of a microgrid. This involves optimization of the production of the local micro-sources and storage and the exchange with the main distribution grid subject to market conditions. The results of the stochastic approach, and a comparison with a simpler deterministic one are presented using as case study a typical microgrid.
Mots clés
Computer networks
Data storage equipment
Distributed parameter networks
Distribution of goods
Electric energy storage
Electric power systems
Energy resources
Mathematical programming
Optimization
Stochastic models
Systems engineering
Voltage distribution measurement
Distributed generation
Distribution grids
Micro grids
Electric generators