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Continuous-Time Aggregation of Massive Flexible HVAC Loads Considering Uncertainty for Reserve Provision in Power System Dispatch — arXiv:2609.02408

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.02408
License (as archived): CC0-1.0
Archived: 2026-10-17T06:27:55.951Z
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How to cite

Continuous-Time Aggregation of Massive Flexible HVAC Loads Considering Uncertainty for Reserve Provision in Power System Dispatch — arXiv:2609.02408 — arXiv (en), https://arxiv.org/abs/2609.02408 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_685e5dfdf44e (Metraipolis archive dc_685e5dfdf44e, sha256 b9bd8ad2b157f81f9b43d06b38f877b9b01e0049b5f76c7b454344a01cec2aa3)

BibTeX

@misc{dc685e5dfdf44e,
  title = {Continuous-Time Aggregation of Massive Flexible HVAC Loads Considering Uncertainty for Reserve Provision in Power System Dispatch — arXiv:2609.02408},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.02408},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_685e5dfdf44e; sha256 b9bd8ad2b157f81f9b43d06b38f877b9b01e0049b5f76c7b454344a01cec2aa3},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.02408. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Heating, ventilation, and air conditioning (HVAC) loads, with their rapid response capabilities, can provide considerable intra-hour flexibility on the demand side for reserve provision in order to follow the fast variations of renewables. However, scheduling massive HVACs is challenging due to computation complexity and the uncertainty of outdoor temperature. In this paper, we first introduce a novel continuous-time (CT) aggregation model to reveal the potential intra-hour flexibility of HVACs. For accurate aggregation, a new affine transformation is designed to handle the heterogeneity in high-dimensional feasible region. Further, for reliable aggregation in practical environment, the outdoor temperature uncertainty is constructed by distributionally robust chance constrains and integrated into the aggregation model. Secondly, for the tractable calculation of the proposed CT aggregation model, a cascade of tailored reformulation techniques is proposed, including the Bernstein polynomial spline, polytope projection, and linearization transformation. Thirdly, a customized hierarchical dispatch framework is proposed via incorporating the proposed CT aggregation model into reserve provision in power system dispatch, so as to efficiently schedule massive HVACs to cope with the renewable uncertainty. Case studies verify the effectiveness and scalability of the proposed CT aggregation model in aggregation accuracy, intra-hour flexibility utilization, and uncertainty handling.

Tema degli esploratori: calcolo e infrastrutture (retro-catalogo arXiv: annunci del 2026-09-03 in eess.SY).
Categorie arXiv: Systems and Control (eess.SY).
Pagina del lavoro: https://arxiv.org/abs/2609.02408 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-17T06:13:51.280Z dalla pagina https://arxiv.org/catchup/eess.SY/2026-09-03?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).