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

Authors

Guiting Xue, 1.State Grid Beijing Haidian Electric Power Supply Company, Beijing 100195, China;Follow
Boya Shan, 1.State Grid Beijing Haidian Electric Power Supply Company, Beijing 100195, China;
Ti Wang, 1.State Grid Beijing Haidian Electric Power Supply Company, Beijing 100195, China;
Xiao Wang, 1.State Grid Beijing Haidian Electric Power Supply Company, Beijing 100195, China;
Wei Xing, 2.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;;Follow
Weiqing Sun, 2.School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;;

Abstract

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.

Recommended Citation

Xue, Guiting; Shan, Boya; Wang, Ti; Wang, Xiao; Xing, Wei; and Sun, Weiqing (2022) "Robust Optimal Configuration of PV-Energy Storage in Industrial Parks Considering the Uncertainty of Photovoltaics," Journal of System Simulation: Vol. 34: Iss. 11, Article 9.
DOI: 10.16182/j.issn1004731x.joss.21-0601
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss11/9

First Page

2396

Revised Date

2021-10-08

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0601

Last Page

2405

CLC

TM721;TP391.9

Recommended Citation

Guiting Xue, Boya Shan, Ti Wang, Xiao Wang, Wei Xing, Weiqing Sun. Robust Optimal Configuration of PV-Energy Storage in Industrial Parks Considering the Uncertainty of Photovoltaics[J]. Journal of System Simulation, 2022, 34(11): 2396-2405.

Corresponding Author

Wei Xing,xingwei9810@163.com

DOI

10.16182/j.issn1004731x.joss.21-0601