Robust dispatch for electrical–thermal combined smart building considering impacts of uncertainties on thermal side

The close connection between electrical energy and thermal energy is an important attribute of current smart buildings. Most previous works aim to emphasize the important role of the power side, thus neglecting the accuracy of the thermal side model. At the same time, from the perspective of the building layer, uncertainties such as random solar radiation will affect not only the electrical side but also the thermal side. This paper presents a robust day-ahead dispatch for the smart building which is integrated with coupled electrical system and thermal system. First, we propose a comprehensive thermodynamic model to evaluate impacts of uncertain factors on the thermal system of the smart building in this paper. Subsequently, a robust co-optimization framework is formulated to cope with the uncertainties in a unified manner. To deal with the nonlinearity brought by the electrical–thermal coupled relationship, we propose a piecewise linearization method to convert the nonlinear robust co-optimization dispatch to a linear min–max–min problem, which can be solved by a traditional decomposition algorithm. Case studies demonstrate that the impact of solar radiation uncertainty on the thermal side accounts for 16.2% of that on the power side, indicating its significance. Compared with traditional thermodynamic models, the refined model can better reflect the actual working conditions of the building thermal storage system. The robust scheduling model proposed in this paper that considers the uncertainty on both sides jointly improves the conservatism of traditional scheduling schemes while achieving better economic benefits. • A detailed thermodynamic model of the smart building is established based on the thermal network method. Compared with the models integrated in previous dispatch frameworks, the proposed one can reflect the thermal side impacts of environmental variables and their uncertainties. • The electrical–thermal conversion equations are formulated to couple the multi-energy systems in the smart building as a unified one. With the conversion equations, the SOC in the electrical side is transformed into thermal variables. • A novel robust dispatch for smart building is proposed. With the unified analysis of uncertainties, the comprehensive worst case can be found, while the unlike-to-happen scenarios can be avoided, further enhancing the reliability and economy performances of the scheduling scheme.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-08-22
DOI
https://doi.org/10.1016/j.ijepes.2025.111010
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Robust dispatch for electrical–thermal combined smart building considering impacts of uncertainties on thermal side

Samir M. Dawoud, Fanrong Wei, Weijie He, Xiangning Lin
International Journal of Electrical Power & Energy Systems
Building Energy and Comfort Optimization
article

Robust dispatch for electrical–thermal combined smart building considering impacts of uncertainties on thermal side

Samir M. Dawoud, Fanrong Wei, Weijie He, Xiangning Lin
article en

Abstract

The close connection between electrical energy and thermal energy is an important attribute of current smart buildings. Most previous works aim to emphasize the important role of the power side, thus neglecting the accuracy of the thermal side model. At the same time, from the perspective of the building layer, uncertainties such as random solar radiation will affect not only the electrical side but also the thermal side. This paper presents a robust day-ahead dispatch for the smart building which is integrated with coupled electrical system and thermal system. First, we propose a comprehensive thermodynamic model to evaluate impacts of uncertain factors on the thermal system of the smart building in this paper. Subsequently, a robust co-optimization framework is formulated to cope with the uncertainties in a unified manner. To deal with the nonlinearity brought by the electrical–thermal coupled relationship, we propose a piecewise linearization method to convert the nonlinear robust co-optimization dispatch to a linear min–max–min problem, which can be solved by a traditional decomposition algorithm. Case studies demonstrate that the impact of solar radiation uncertainty on the thermal side accounts for 16.2% of that on the power side, indicating its significance. Compared with traditional thermodynamic models, the refined model can better reflect the actual working conditions of the building thermal storage system. The robust scheduling model proposed in this paper that considers the uncertainty on both sides jointly improves the conservatism of traditional scheduling schemes while achieving better economic benefits. • A detailed thermodynamic model of the smart building is established based on the thermal network method. Compared with the models integrated in previous dispatch frameworks, the proposed one can reflect the thermal side impacts of environmental variables and their uncertainties. • The electrical–thermal conversion equations are formulated to couple the multi-energy systems in the smart building as a unified one. With the conversion equations, the SOC in the electrical side is transformed into thermal variables. • A novel robust dispatch for smart building is proposed. With the unified analysis of uncertainties, the comprehensive worst case can be found, while the unlike-to-happen scenarios can be avoided, further enhancing the reliability and economy performances of the scheduling scheme.

International Journal of Electrical Power & Energy SystemsVol. 171
Tanta University (EG), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 77%
Building Energy and Comfort Optimization
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