.png){kind=icon}
.png){kind=icon}
Return
Coupling-Aware Aggregation of Multi-Zone HVAC Loads Under Uncertainty: A Two-Level Framework
.png){kind=icon}
PRE
AI
DOI：10.1109/TSG.2025.3649377.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Aggregating building heating, ventilation, and air-conditioning (HVAC) loads unlocks substantial demand-side flexibility for power systems. Yet multi-zone coupling creates intricate interdependencies and uncertainty propagation, complicating the quantification of aggregate flexibility. To address this issue, this paper proposes a coupling-aware two-level aggregation framework. At the building level, tailored Gaussian elimination and coordinate transformation techniques are employed to recast the high-dimensional thermal dynamics as an equivalent lower-dimensional analytical expression. This expression streamlines the subsequent aggregator-level stage by: 1) clarifying the propagation of zone-level uncertainties to the building-level interface, 2) decoupling intra-building multi-zone coupling from inter-building aggregation, and 3) providing full-dimensional building-level flexibility sets that enable tractable reformulation. At the aggregator level, existing geometric aggregation approaches are generalized by a newly developed matrix-transformation technique. This technique effectively constructs inner approximations between polytopes of different dimensions, producing closed-form images of high-dimensional multi-zone HVAC flexibility in power subspace. The resulting inner approximation is then recast as a customized separatable linear program that efficiently determines the optimal aggregate parameters. Case studies validate the effectiveness of our framework, highlighting its accuracy, reliability, and scalability.
Keywords:
Heating
ventilation and air conditioning (HVAC)
multi-zone-coupled aggregation
uncertainty
Journal
IF:
9.8
Papers:
5.7K
Citations:
4.3W
View more organizations