A stochastic dynamic programming model for optimal use of local energy resources in a market environment

Luis Miguel Costa (1) , Georges Kariniotakis (1)

1 CEP - Centre Énergétique et Procédés

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

Domaines: Energie électrique

Luis Miguel Costa, Georges Kariniotakis. A stochastic dynamic programming model for optimal use of local energy resources in a market environment. 2007 IEEE Lausanne POWERTECH, Jul 2007, Lausanne, Switzerland. pp.449- 454, ⟨10.1109/PCT.2007.4538359⟩. ⟨hal-00525890⟩