Multi-objective two-stage adaptive robust planning method for an integrated energy system considering load uncertainty

2021 ◽  
Vol 235 ◽  
pp. 110741
Author(s):  
Rujing Yan ◽  
Jiangjiang Wang ◽  
Shuaikang Lu ◽  
Zherui Ma ◽  
Yuan Zhou ◽  
...  
Author(s):  
Shaoyun Ge ◽  
Xiaoou Liu ◽  
Lukun Ge

Abstract In this paper, a robust planning method of regional integrated energy system (IES) considering the uncertainty of cooling, heat and electrical loads on the demand side is submitted. First, the energy hub (EH) model of regional IES with Combined Cooling Heating and Power (CCHP), electric air-conditioning unit (EC) and gas boiler (GB) is established. Second, the uncertainty of load is described by the method of adjustable interval, and the robust planning model of regional IES is formed. Third, the robust programming model can be transformed into a convex mixed integer planning model, and then solved. Finally, the case study is carried out with a comprehensive area of Tianjin in China, the results are analyzed to verify the effectiveness of the proposed planning method.


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