基于仿射可调鲁棒优化的园区综合能源系统经济调度

Integrated Energy System Economic Dispatch Based on Affine Adjustable Robust Optimization

新能源和负荷的不确定性给综合能源系统(integrated energy system,IES)运行带来挑战。首先,基于线性形式的能源集线器模型,对园区IES进行了建模。其次,构建了基于仿射可调鲁棒优化的园区IES两阶段经济调度模型,通过该模型可求得机组的启停及基准出力,以满足不考虑可再生能源出力的能量平衡要求,并求得机组的参与因子,使得调度方案对可再生能源出力不确定集下的任意场景均可行。最后,将该模型转化为混合整数线性规划模型(mixed integer linear programming,MILP)进行求解。算例分析结果表明:通过可调鲁棒优化的经济调度方法所求得的调度方案较经典鲁棒优化有更好的经济性与鲁棒性。

Uncertainties in renewable energy and loads bring challenges to the operation of integrated energy system(IES). Firstly, the general model of the industrial park’s IES was established based on the linear energy hub. Then a two-stage economic dispatch model of the industrial park’s IES based on the affine adjustable robust optimization was constructed. In this model, the on-off state and base power output of units were calculated to satisfy the energy balance regardless of the renewable energy output, and participation factors were obtained to ensure a feasible solution for all scenarios under the uncertainty set of the renewable energy output. Finally, the model was transformed into a mixed integer linear programming(MILP) model. The case study shows that the proposed dispatch method provides a more economical and practical scheme than the classical robust optimization.