Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6683788 | Applied Energy | 2016 | 11 Pages |
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%.
Related Topics
Physical Sciences and Engineering
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Energy Engineering and Power Technology
Authors
Chengshan Wang, Bingqi Jiao, Li Guo, Zhe Tian, Jide Niu, Siwei Li,