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

Abstract : 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.
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00525890
Contributor : Magalie Prudon <>
Submitted on : Wednesday, October 13, 2010 - 10:34:49 AM
Last modification on : Wednesday, October 14, 2020 - 4:02:44 AM

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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⟩

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