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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]

Author

Listed:
  • Tiezhou Wu
  • Jin Wang
  • Yibo Qi
  • Fumei Rong

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.

Suggested Citation

  • Tiezhou Wu & Jin Wang & Yibo Qi & Fumei Rong, 2021. "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 managem," International Journal of Low-Carbon Technologies, Oxford University Press, vol. 16(2), pages 635-642.
    • Handle: RePEc:oup:ijlctc:v:16:y:2021:i:2:p:635-642.
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    File URL: http://hdl.handle.net/10.1093/ijlct/ctaa098
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