Research on variable parameter power differential charge–discharge strategy of energy storage system in isolated island operating microgrid

Battery energy storage system (BESS) and battery management system (BMS) for grid-scale applications

Tiezhou Wu, Jin Wang, Yibo Qi and Fumei Rong

International Journal of Low-Carbon Technologies, 2021, vol. 16, issue 2, 635-642

Abstract: This paper proposed an improved particle swarm optimization (PSO) algorithm for the variable parameter power difference charging and discharging strategy of battery energy storage system (BESS). The charge and discharge power of the BESS under different load intervals and state of charge (SOC) intervals are distributed, and the objective functions of peak shaving and valley filling standard deviation and minimum SOC off-line rate are established. The simulation model of peak shaving and valley filling is built, and the results show that the standard deviation of peak shaving and valley filling reduced by 22.58% compared with PSO. The effectiveness and feasibility of the improved PSO are verified.

Keywords: battery energy storage system; variable parameter power difference; charged state; peak shaving and valley filling; particle swarm optimization (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1093/ijlct/ctaa098 (application/pdf)
Access to full text is restricted to subscribers.

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:oup:ijlctc:v:16:y:2021:i:2:p:635-642.

Access Statistics for this article

International Journal of Low-Carbon Technologies is currently edited by Saffa B. Riffat

More articles in International Journal of Low-Carbon Technologies from Oxford University Press
Bibliographic data for series maintained by Oxford University Press ().