An Ising Spin-Based Model to Explore Efficient Flexibility in Distributed Power Systems

Francisco Prieto-Castrillo, Amin Shokri Gazafroudi, Javier Prieto and Juan Manuel Corchado

Complexity, 2018, vol. 2018, 1-16

Abstract:

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.

Date: 2018
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:hin:complx:5905932

DOI: 10.1155/2018/5905932

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