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Recherche sur la stratégie de régulation par lot de la réponse à la demande de conditionnement d’air à fréquence constante à l’aide d’un algorithme d’optimisation par essaims particulaires amélioré

Research on packet control strategy of constant-frequency air-conditioning demand response based on improved particle swarm optimization algorithm.

Auteurs : LIU Q., FU G., MA G., HE J., LI W.

Type d'article : Article de périodique

Résumé

To better utilize air-conditioning load in terms of demand side response potential and improve precision and speed, a control strategy of traditional temperature-control air conditioning, determining frequency load as the research object, and air conditioning determined with a frequency theory model and the Monte Carlo method, were used to construct a power aggregation model. This was combined with user feedback to study thermal comfort as a lateral load demand response resource to determine the potential demand response of power systems. Based on the state-queuing model, an air-conditioning load grouping control strategy using an improved particle swarm optimization algorithm is proposed which can accurately control the air-conditioning load following the reference load.

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Pages : 12 p.

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Détails

  • Titre original : Research on packet control strategy of constant-frequency air-conditioning demand response based on improved particle swarm optimization algorithm.
  • Identifiant de la fiche : 30031216
  • Langues : Anglais
  • Sujet : Technologie
  • Source : Energies - 15 - 23
  • Éditeurs : MDPI
  • Date d'édition : 12/2022
  • DOI : http://dx.doi.org/https://doi.org/10.3390/en15238985

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