An Optimal Allocation Method of Distributed PV and Energy Storage Considering Moderate Curtailment Measure

Gang Liang, Bing Sun (), Yuan Zeng, Leijiao Ge, Yunfei Li and Yu Wang
Additional contact information
Gang Liang: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Bing Sun: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Yuan Zeng: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Leijiao Ge: School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China
Yunfei Li: State Grid Tianjin Electric Power Co., Ltd., Tianjin 300300, China
Yu Wang: State Grid Tianjin Electric Power Co., Ltd., Tianjin 300300, China

Energies, 2022, vol. 15, issue 20, 1-19

Abstract: Increasing distributed generations (DGs) are integrated into the distribution network. The risk of not satisfying operation constraints caused by the uncertainty of renewable energy output is increasing. The energy storage (ES) could stabilize the fluctuation of renewable energy generation output. Therefore, it can promote the consumption of renewable energy. A distributed photovoltaic (PV) and ES optimal allocation method based on the security region is proposed. Firstly, a bi-level optimal allocation model of PV and ES is established. The outer layer is a nonlinear optimization model, taking the maximum power supply benefit as the objective function. The inner layer is a day-ahead economic dispatching model. Then, a quick model solving method based on the steady-state security region is proposed. An initial allocation scheme of PV and ES is determined with the redundancy capacity. In addition, the linear hyperplane coefficient of the security region is used to convert the nonlinear day-ahead economic dispatching model into a linear one. Finally, the proposed method is used to analyze the improved IEEE 33-node system. It is found that a moderate curtailment measure of distributed PV peak output and the allocation of energy storage have a significant effect on the power supply benefit of the distribution system. The optimal quota capacity of DG exceeds the sum of the maximum load and the branch capacity. In addition, the optimal allocation scheme is closely related to the cost and technical parameters of distributed PV and ES. Dynamic allocation schemes should be formulated for distribution network.

Keywords: distribution system planning; optimal allocation method; steady-state security region; redundancy capacity; day-ahead economic dispatching; power supply benefit (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/15/20/7690/pdf (application/pdf)
https://www.mdpi.com/1996-1073/15/20/7690/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:15:y:2022:i:20:p:7690-:d:946000

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().