An Ising Spin-Based Model to Explore Efficient Flexibility in Distributed Power Systems
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...
| Published in: | Complexity |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2018-01-01
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| Online Access: | http://dx.doi.org/10.1155/2018/5905932 |
| Summary: | 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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| ISSN: | 1076-2787 1099-0526 |