Patent · US Active

Bi-level optimization scheduling method for air conditioning system based on demand response

US12188669B2 · kind B2 · utility

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Key dates

Filing dateMar 26, 2023
Grant dateJan 7, 2025
Priority date
Expiry dateJun 21, 2043

Classification

  • Technology area (CPC Y)Emerging Cross-Sectional Technologies
  • CPC primaryY04S20/222
  • WIPO fieldThermal processes and apparatus
  • WIPO sectorMechanical engineering

Abstract

A bi-level optimization scheduling method for an air conditioning system based on demand response includes: constructing a lumped heat capacity model to describe a heat storage capacity of a building to thereby obtain a building heat storage model; obtaining a function relational expression of describing an indoor dry bulb temperature and a cooling and heating load of the building based on the building heat storage model; constructing a power consumption calculation model under a working condition of demand response based on the function relational expression; constructing optimization objective functions based on the power consumption calculation model; and substituting the optimization objective functions into a bi-level optimization process, and optimizing the bi-level optimization process to obtain an optimal scheduling strategy for the air conditioning system participating in demand response. The method can achieve a global optimization of demand response scheduling strategy, and improve economy and energy saving of system operation.

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