Integrated Intelligent Energy ›› 2023, Vol. 45 ›› Issue (9): 65-76.doi: 10.3969/j.issn.2097-0706.2023.09.009

• Energy Storage System • Previous Articles     Next Articles

Optimal configuration for shared energy storage based on improved whale optimization algorithm

LI Qinggen(), SUN Na(), DONG Haiying()   

  1. School of New Energy and Power Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China
  • Received:2023-06-12 Revised:2023-06-27 Online:2023-08-16 Published:2023-08-16
  • Supported by:
    Jiayuguan City Science and Technology Plan Project(22-35)

Abstract:

Since energy storage resources always be left unused and lack proper business modes in the renewable energy consumption,an optimal allocation method of shared energy storage based on improved whale optimization algorithm(WOA) is proposed to match the power capacity of energy storage systems to new energy consumption target. Taking sharing mode for energy storage on power generation side,this method considers the investment, operation and maintenance costs and benefits of the energy storage system assisting renewable energy consumption,under the constraints of its operation and grid-connected power. Combined the renewable energy output with grid-connected power,an optimal configuration model aiming at maximizing the revenue of the shared energy storage system is established,and solved by improved WOA. The contrastive analysis on examples shows that energy storage sharing can improve the consumption rate of new energy and the return on investment of energy storage systems. Compared with independent energy storage, energy storage sharing mode improves the utilization rate and economy of energy storage devices,and adjustment ability on new energy consumption,which can effectively make up for the grid-connected power shortage caused by new energy generation. Large-scale investment in shared energy storage systems is promising.

Key words: renewable energy consumption, energy storage sharing, optimal configuration, power generation side, improved whale optimization algorithm, power shortage

CLC Number: