考虑光伏不确定性的工业园区光-储鲁棒优化配置

研究利用工业园区屋顶资源开发光伏项目并合理配置储能，有助于提升园区的用能经济性。为得到最优光-储配置方案，选取存在冷、热、电三种类型负荷需求的工业园区，在考虑光伏不确定性引起园区购电成本增加的背景下，以运行收益最优作为目标函数建立园区光-储鲁棒优化配置模型。该模型利用鲁棒优化理论中的盒式不确定集对光照强度进行处理，采用对偶优化理论将模型线性化。算例分析表明，合理配置光伏发电装置与储能能够有效降低园区运行成本，鲁棒优化在降低由于光伏出力不确定性带来的园区购电成本增加风险的同时也会增加系统投资成本，以收益的保守性换取更高的确定性。

Robust Optimal Configuration of PV-Energy Storage in Industrial Parks Considering the Uncertainty of Photovoltaics

Research on using rooftop resources in industrial parks to develop photovoltaic projects and reasonable configuration of energy storage will help improve the park's energy economy. To obtain the optimal PV-storage configuration scheme, an industrial park with three types of load demand, namely, cold, heat and electricity, is selected, and a robust optimization allocation model of park PV-storage is established with optimal operating profit as the objective function, considering the increased cost of power purchase caused by the PV uncertainty. The model uses the box uncertainty set in robust optimization for PV intensity, and linearizes the model using pairwise optimization theory. The analysis shows that reasonable allocation of PV-storage can effectively reduce the park operation cost, and robust optimization can increase system investment cost while reducing the risk of increasing park power purchase cost due to the uncertainty of PV output, and exchange the conservativeness of income for higher certainty.