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115354 |
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|a Shokri Gazafroudi, Amin
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|a Massachusetts Institute of Technology. Media Laboratory
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|a Prieto Castrillo, Francisco
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|a Prieto, Javier
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|a Corchado, Juan Manuel
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|a Prieto Castrillo, Francisco
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|a An Ising Spin-Based Model to Explore Efficient Flexibility in Distributed Power Systems
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|b Hindawi Publishing Corporation,
|c 2018-05-14T14:01:00Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/115354
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|a This paper analyses customers' demand flexibility in a local power trading scenario through an Ising spin-based model. We look at quantitative information on the two-way relationships between power exchanges and spin dynamics. To this end, a modified version of the Metropolis-Hastings algorithm was implemented, including a gradient descent through the constraint surface. This allowed us to analyse the system on a large scale (considering the cumulated benefit of all the actors involved) and also from the perspective of total aggregation. In a maximum flexibility scenario, the total aggregation profit increases with the number of aggregators. We also investigate numerically the effect of aggregator boundaries on the spin dynamics.
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