A Health-Aware Energy Storage Sharing Mechanism for a Renewable Energy Base

Chong Shao, Bolin Zhang, Bo Wei, Wenfei Liu, Yong Yang and Zhaoyuan Wu ()
Additional contact information
Chong Shao: State Grid Gansu Electric Power Company, Lanzhou 730030, China
Bolin Zhang: State Grid Gansu Electric Power Company, Lanzhou 730030, China
Bo Wei: State Grid Gansu Electric Power Company, Lanzhou 730030, China
Wenfei Liu: State Grid Gansu Electric Power Research Institute, Lanzhou 730070, China
Yong Yang: State Grid Gansu Electric Power Research Institute, Lanzhou 730070, China
Zhaoyuan Wu: School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Energies, 2023, vol. 16, issue 14, 1-22

Abstract: With the increasing global demand for renewable energy (RE), the growing share of new energy sources has become an inevitable trend. However, due to the uncertainty and fluctuation of renewable energy generation, this poses challenges to the stability of the power system. To mitigate the volatility of wind power output, ensure reliable power supply, and improve energy storage utilization, shared energy storage (SES) can be deployed in renewable energy bases (REBs) to alleviate the pressure on the power supply. However, electrochemical energy storage (EES) faces issues such as lifespan degradation and maintenance cost allocation. In this regard, this paper establishes an EES characterization model considering the dynamic degradation characteristics of batteries and analyzes the coupled relationship between lifespan degradation laws and key parameters in SES operation. Additionally, to assess the impact of electrochemical energy storage’s dynamic degradation characteristics on energy capacity allocation and operational strategies, an optimization model for SES in REBs is developed. Building upon this, a cost allocation mechanism is designed based on the marginal contribution in both the day-ahead and the real-time markets to address the differing demands for SES among different units within the REBs. Case studies are conducted to validate the rationality of the proposed optimization model for SES in REBs and the adaptability of the cost allocation mechanism. The results provide valuable insights for practical applications.

Keywords: shared energy storage; renewable energy base; dynamic degradation characteristics; two-stage market optimization; cost allocation mechanism (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: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/14/5356/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/14/5356/ (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:16:y:2023:i:14:p:5356-:d:1193421

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 ().