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

Author(s) : LIU Q., FU G., MA G., HE J., LI W.

Type of article: Periodical article

Summary

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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  • Original title: Research on packet control strategy of constant-frequency air-conditioning demand response based on improved particle swarm optimization algorithm.
  • Record ID : 30031216
  • Languages: English
  • Subject: Technology
  • Source: Energies - vol. 15 - n. 23
  • Publishers: MDPI
  • Publication date: 2022/12
  • DOI: http://dx.doi.org/https://doi.org/10.3390/en15238985

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