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2nd Use Battery Energy Storage System Power Reduction Operation

  • Jinlei SunEmail author
  • Ruihang Liu
  • Qian Ma
  • Tianru Wang
  • Chuanyu Tang
Original Article
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Abstract

The battery energy storage system (BESS) is an ideal field of batteries retired from Electric Vehicle (EV)/Hybrid Electric Vehicle (HEV). The operation cost and service life is important for BESS operation. In order to solve these problems, this paper proposes a 2nd use BESS power reduction operation method. The BESS power allocation is optimized using Particle Swarm Optimization (PSO) algorithm to search the global optimization result. The state of health (SOH) caused cost increase is taken into consideration to minimize operating cost. Besides, in order to further improve the fault-tolerant operation ability and prolong the service life of 2nd use BESS, a power reduction operation method is proposed. Battery Systems (BSs) with different SOHs could work together, and avoid accelerated aging. Besides, BESS could continue working in power reduction mode when there exists BS that could not work anymore. This enhances system reliability and supplies more power throughput. Simulation results demonstrate that both scheduling time and power throughput are increased using the proposed power reduction operation method.

Keywords

Battery energy storage system Particle swarm optimization State of health Power reduction operation 

List of symbols

C

Operation cost (CNY)

Cfix

Maintenance cost (CNY)

Closs

Loss cost (CNY)

Cf

Fixed cost(CNY)

n

Number of BSs in the BESS

T

Time period per operation cycle (hour)

Kif

Operation and maintenance cost coefficient

Pi

Allocated power of the ith BS (kW)

Kil

Power loss coefficient (CNY/kWh)

ηic

Charge efficiency

ηid

Discharge efficiency

ΔSOHi

SOH variation of the ith BS

SOHimin

SOH lower limit of the ith BS

fiB

Construction cost of the ith BS (CNY)

Notes

Acknowledgements

This work was supported in part by the Fundamental Research Funds for the Central Universities under Project 30918011328.

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Copyright information

© The Korean Institute of Electrical Engineers 2019

Authors and Affiliations

  1. 1.School of AutomationUniversity of Science and TechnologyNanjingChina

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