LOW VOLTAGE APPARATUS ›› 2021, Vol. 0 ›› Issue (4): 85-93.doi: 10.16628/j.cnki.2095-8188.2021.04.016

• Energy Storage Technology • Previous Articles     Next Articles

Analysis of Grid-Side Energy Storage Configuration Strategy Based on Bi-Level Programming

WU Changlong1, LUO Huawei1, QIN Zhengbin1, YU Haifeng2, XU Zhiqiang2   

  1. 1. Hunan Jingyan Electric Power Design Co.,Ltd.,Changsha 410000,China
    2. Hunan Engineering Research Center of Large-Scale Battery Energy Storage Application Technoligy,Changsha 410000,China
  • Received:2020-12-24 Online:2021-04-30 Published:2021-05-14

Abstract:

A bi-level programming configuration model for grid-side energy storage considering the economics of energy storage and the best operation strategy was proposed.The upper-layer economic evaluation model calculates the full life cycle cost of the energy storage system and analyzes its benefits in replacing T&D,the investment in reactive power equipment and the compensation of participating in market for FM auxiliary services on the grid side,taking the maximum profit as the upper-layer goal to optimize the scale of energy storage allocation.The lower-layer operation model takes the best peak shaving and valley filling effect as the optimization objective through optimizing the operation power curve of the energy storage system.The particle swarm optimization algorithm based on adaptive mutation is used to solve the bi-level iterative solution and optimize the optimal energy storage configuration on the grid side.The analysis results of the calculation examples show that the optimized particle swarm optimization algorithm has better optimization ability,and the bi-level strategy can achieve the best peak clipping and the maximum comprehensive benefit.

Key words: grid side storage, energy storage configuration, bi-level programming, economic operation, particle swarm optimization

CLC Number: