Cited by 9Smart Grid Energy ManagementElectric Vehicles and InfrastructureBuilding Energy and Comfort Optimization

A hierarchical framework-based coordinated optimization of building HVAC systems and EVs

Zhao, Haoming, Xu, Zhanbo, Wu, Jiang, Liu, Fengxia, Guan, Xiaohong·2025·IEEE Transactions on Automation Science and Engineering

Abstract

The demands of electric vehicles (EVs) and building heating, ventilation, and air conditioning (HVAC) systems have considerable flexibility. Their flexibility is influenced by occupants’ behavior resulting in huge complementary and dispatchable capability. Therefore, the coordination of EVs and HVAC systems holds significant potential for optimizing the building demand profiles and energy cost under time-of-use (TOU) tariffs. However, solving the coordinated problem in practice still faces the challenges in computational complexity and global information requirement due to the spatio-temperal coupling constraints. In this paper, a mixed-integer linear programming model is developed to formulate the multi-building energy system with EVs and the impact of occupants’ behavior on the demand and flexibility of the system. The problem is converted into a three-level structure using Lagrangian relaxation framework. A dynamic programming-based Lagrangian relaxation (DPLR) algorithm is developed to independently solve all sub-problems of the three-level structure in a decomposition and coordination way while avoiding the iterative computation between the middle and lower level. The numerical results show the developed method can obtain a near-optimal solution in an efficient way without perceivable degradation in accuracy, which is 4% worse but at least three times faster, compared to the existing centralized algorithm. Note to Practitioners—The escalating demand for EVs and HVAC syst…

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Crossref · 10.1109/tase.2024.3446908

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Authors
Zhao, H., Xu, Z., Wu, J., Liu, F., & Guan, X.
Affiliations
Xi'an Jiaotong University (CN)
Venue
IEEE Transactions on Automation Science and Engineering
Published
2025
Volume
22
Pages
6530-6542
ISSN
  • 1545-5955 (ISSN-L)
  • 1558-3783
OpenAlex
W4402808109
Cited by
8
References
27
Citations by year
2026: 5 · 2025: 3
FWCI
0.83
Type
journal article
Language
en
Open access
closed
Locations
IEEE Transactions on Automation Science and Engineering (publishedVersion)
Funders
National Natural Science Foundation of China (62122062, 62192755, 62192750, 62192752)
Topics
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Electric Vehicles and Infrastructure
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
Keywords
electric vehicle charging, HVAC systems, occupant behavior, time-of-use pricing, energy cost reduction, Lagrangian relaxation, hierarchical optimization, spatiotemporal coupling, decomposition and coordination

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