Journal of System Simulation ›› 2022, Vol. 34 ›› Issue (11): 2396-2405.doi: 10.16182/j.issn1004731x.joss.21-0601

• Modeling Theory and Methodology • Previous Articles     Next Articles

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

Guiting Xue1(), Boya Shan1, Ti Wang1, Xiao Wang1, Wei Xing2(), Weiqing Sun2   

  1. 1.State Grid Beijing Haidian Electric Power Supply Company, Beijing 100195, China
    2.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
  • Received:2021-06-29 Revised:2021-10-08 Online:2022-11-18 Published:2022-11-25
  • Contact: Wei Xing E-mail:xueguiting@163.com;xingwei9810@163.com

Abstract:

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.

Key words: industrial park, robust optimization, energy storage allocation, PV allocation

CLC Number: