Robust scheduling of building energy system under uncertainty

Chengshan Wang, Bingqi Jiao, Li Guo, Zhe Tian, Jide Niu and Siwei Li

Applied Energy, 2016, vol. 167, issue C, 366-376

Abstract: This paper proposes a robust scheduling strategy to manage a building energy system with solar power generation system, multi-chiller system and ice thermal energy storage under prediction uncertainty. The strategy employs a two-stage adjustable robust formulation to minimize the system operation cost, wherein a parameter is introduced to adjust the level of conservatism of the robust solution against the modeled uncertainty. Then a column and constraint generation algorithm with modified initialization strategy is adopted to solve this optimization model along with mixed-integer linear programming. Further, we evaluate the performance of the proposed strategy by hourly simulating the system operation of a practical project with Monte Carlo simulation. Numerical results show that the robust scheduling with a proper parameter can be superior to the deterministic strategy in all the studied cases. Additionally, the proposed strategy has similar results with the model-based predictive control strategy while the former only needs to be implemented once. Even in the highest load case, the relative deviation between the two strategies is less than 2%.

Keywords: Building energy system; Ice thermal energy storage; Two-stage robust optimization; Uncertainty (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (30)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:appene:v:167:y:2016:i:c:p:366-376

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DOI: 10.1016/j.apenergy.2015.09.070

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