Previous Article in Journal
A Simple Physics-Informed Assessment of Smart Thermostat Strategies for Luxembourg’s Single-Family Homes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

A Hybrid Control Strategy for Multi-Timescale Air Conditioning Load Demand Response

School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou 450001, China
*
Author to whom correspondence should be addressed.
Smart Cities 2025, 8(6), 204; https://doi.org/10.3390/smartcities8060204
Submission received: 10 October 2025 / Revised: 5 December 2025 / Accepted: 8 December 2025 / Published: 9 December 2025
(This article belongs to the Section Smart Grids)

Abstract

Globally, the transition of energy structure towards clean and low-carbon is accelerating, with the increasing grid integration ratio of renewable energy. However, the inherent intermittency, volatility and randomness of such energy sources are in fundamental conflict with the traditional operation mode of existing power systems, which not only restricts the absorption capacity of renewable energy, but also poses severe challenges to the safe and stable operation of power systems. The integration of renewable energy sources into existing power systems poses numerous challenges that can be mitigated through the utilization of demand-side flexible resources. Among these, air-conditioning (AC) loads, as a prominent example, offer significant potential for enhancing flexibility in power systems. Nonetheless, determining an optimal AC control strategy to achieve the desired power response remains challenging, particularly in practical control settings where reliance on a single timescale control strategy may prove inadequate to address fluctuations in power system flexibility requirements. This paper investigates the characteristics of direct start-stop control and duty cycling control within a multi-timescale, source-load coordinated scheduling framework. Furthermore, a hybrid control strategy that combines these two methods is proposed, accompanied by the formulation of a power curtailment model tailored to the hybrid control strategy. Case study results demonstrate that the hybrid control strategy effectively augments AC load flexibility and enhances scheduling feasibility, thereby supporting the stable operation of the power system.
Keywords: air-conditioning load; demand-side flexible resources; multi-timescale scheduling; hybrid control strategy; power curtailment model air-conditioning load; demand-side flexible resources; multi-timescale scheduling; hybrid control strategy; power curtailment model

Share and Cite

MDPI and ACS Style

Bai, Y.; Jiang, J.; Jia, Q.; Liu, C.; Yang, B.; Zhuang, P. A Hybrid Control Strategy for Multi-Timescale Air Conditioning Load Demand Response. Smart Cities 2025, 8, 204. https://doi.org/10.3390/smartcities8060204

AMA Style

Bai Y, Jiang J, Jia Q, Liu C, Yang B, Zhuang P. A Hybrid Control Strategy for Multi-Timescale Air Conditioning Load Demand Response. Smart Cities. 2025; 8(6):204. https://doi.org/10.3390/smartcities8060204

Chicago/Turabian Style

Bai, Yifan, Jiandong Jiang, Qiangang Jia, Chenghao Liu, Binghao Yang, and Peng Zhuang. 2025. "A Hybrid Control Strategy for Multi-Timescale Air Conditioning Load Demand Response" Smart Cities 8, no. 6: 204. https://doi.org/10.3390/smartcities8060204

APA Style

Bai, Y., Jiang, J., Jia, Q., Liu, C., Yang, B., & Zhuang, P. (2025). A Hybrid Control Strategy for Multi-Timescale Air Conditioning Load Demand Response. Smart Cities, 8(6), 204. https://doi.org/10.3390/smartcities8060204

Article Metrics

Back to TopTop