An Ising Spin-Based Model to Explore Efficient Flexibility in Distributed Power Systems. (8th May 2018)

• Record Type: Journal Article
• Authors: Prieto-Castrillo, Francisco; Shokri Gazafroudi, Amin; Prieto, Javier; Corchado, Juan Manuel
• Other Names: Soares João Academic Editor.
• Is Part Of: Complexity. Volume 2018(2018)
• Publication Date: 2018-05-08
• Subjects: Chaotic behavior in systems -- Periodicals; Complexity (Philosophy) -- Periodicals; 003
• DOI: 10.1155/2018/5905932
• Languages: English
• ISSNs: 1076-2787

Abstract

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.