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            <title xml:lang="en">A stochastic dynamic programming model for optimal use of local energy resources in a market environment</title>
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                <forename type="first">Luis Miguel</forename>
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                <term xml:lang="en">Electric generators</term>
                <term xml:lang="en">Micro grids</term>
                <term xml:lang="en">Distribution grids</term>
                <term xml:lang="en">Distributed generation</term>
                <term xml:lang="en">Voltage distribution measurement</term>
                <term xml:lang="en">Systems engineering</term>
                <term xml:lang="en">Stochastic models</term>
                <term xml:lang="en">Optimization</term>
                <term xml:lang="en">Mathematical programming</term>
                <term xml:lang="en">Energy resources</term>
                <term xml:lang="en">Electric power systems</term>
                <term xml:lang="en">Electric energy storage</term>
                <term xml:lang="en">Distribution of goods</term>
                <term xml:lang="en">Distributed parameter networks</term>
                <term xml:lang="en">Data storage equipment</term>
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              <p>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.</p>
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