Assessment of Low-Carbon Flexibility in Self-Organized Virtual Power Plants Using Multi-Agent Reinforcement Learning

Autor: Gengsheng He, Yu Huang, Guori Huang, Xi Liu, Pei Li, Yan Zhang

Publikováno v: Energies, Vol 17, Iss 15, p 3688 (2024)

Virtual power plants (VPPs) aggregate a large number of distributed energy resources (DERs) through IoT technology to provide flexibility to the grid. It is an effective means to promote the utilization of renewable energy, and enable carbon neutrali

Externí odkaz: https://doaj.org/article/56c12df781ce4931ac9fda06bdc1d70e

Flexible and Efficient Topological Approaches for a Reliable Robots Swarm Aggregation

Autor: Belkacem Khaldi, Fouzi Harrou, Foudil Cherif, Ying Sun

Publikováno v: IEEE Access, Vol 7, Pp 96372-96383 (2019)

Aggregation is a vital behavior when performing complex tasks in most of the swarm systems, such as swarm robotics systems. In this paper, three new aggregation methods, namely the distance-angular, the distance-cosine, and the distance-Minkowski k-n

Externí odkaz: https://doaj.org/article/52a612ea23c74d1ab6cbd01ba1c93099

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Cultural evolution of probabilistic aggregation in synthetic swarms

Autor: Cambier, Albani, Frémont, Trianni, Ferrante

Publikováno v: Applied Soft Computing
Applied Soft Computing, Elsevier, 2021, pp.108010. ⟨10.1016/j.asoc.2021.108010⟩
Applied Soft Computing, 113(Part B):108010, 1-13. Elsevier BV
Cambier, N, Albani, D, Frémont, V, Trianni, V & Ferrante, E 2021, ' Cultural evolution of probabilistic aggregation in synthetic swarms ', Applied Soft Computing, vol. 113, no. Part B, 108010, pp. 1-13 . https://doi.org/10.1016/j.asoc.2021.108010
Applied soft computing (Online) 113 (2021): 108010. doi:10.1016/j.asoc.2021.108010
info:cnr-pdr/source/autori:Cambier, N. and Albani, D. and Frémont, V. and Trianni, V. and Ferrante, E./titolo:Cultural evolution of probabilistic aggregation in synthetic swarms/doi:10.1016%2Fj.asoc.2021.108010/rivista:Applied soft computing (Online)/anno:2021/pagina_da:108010/pagina_a:/intervallo_pagine:108010/volume:113

Local interactions and communication are key features in swarm robotics, but they are most often fixed at design time, limiting flexibility and causing a stiff and inefficient response to changing environments. Motivated by the need for higher adapta

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fbc2e23c413989bce0607de63d08ae15
https://hal.archives-ouvertes.fr/hal-03413601