LOW VOLTAGE APPARATUS ›› 2023, Vol. 0 ›› Issue (9): 32-38.doi: 10.16628/j.cnki.2095-8188.2023.09.005

• Research & Analysis • Previous Articles     Next Articles

Optimal Configuration of Customer Energy Storage Based on Power Big Data

WANG Limeng1, QU Yang1, LIU Yutu2, YANG Ranran3   

  1. 1. School of Electrical Engineering,Northeastern Electric Power University, Jilin 132012, China
    2. School of Economics and Management,Northeastern Electric Power University, Jilin 132012, China
    3. Nanyang Power Supply Company,State Grid Henan Electric Power Company, Nanyang 473000, China
  • Received:2023-07-27 Online:2023-09-30 Published:2023-11-23

Abstract:

Taking regional power users as the research object,the analysis of energy storage investment potentiality is carried out.The objective function is established based on the highest life-cycle return and the fastest cost recovery of the user’s investment in energy storage.Based on the big data of electric power,the suitable users for energy storage investment are identified and the capacity configuration is calculated.According to the objective constraint function,combined with the current energy storage related parameters and electricity price,the boundary value of profitable user energy storage configuration capacity is obtained.Screening out users with a user capacity greater than the configured capacity is a potential user for developing energy storage configurations.Then,a calculation model for lithium iron phosphate batteries is constructed,and the optimal energy storage investment plan for potential users is obtained by calculating the capacity,duration,and benefits of adjustable resources for potential users.The energy storage cost is further reduced and a higher economic efficiency is obtained through the combination of configuring energy storage batteries and time-of-use electricity prices.

Key words: power big data, demand side management, energy storage capacity configuration, life cycle, peak-valley time-of-use electricity price

CLC Number: