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Analysis on Influence of Energy Storage on Accommodation Capability of Wind Power Based on Source-Load-Storage Interaction
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Affiliation:

School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China

Abstract:

Source-load-storage interaction is an important technical method to deal with flexibility shortage of power systems with high proportion of renewable energy. Quantifying the influence of energy storage on source-load-storage interaction to enhance system flexibility is beneficial to optimizing the configuration of the energy storage resources. Based on the economic dispatch optimization model of the system with energy storage and flexible loads, considering the stochastic variation of wind power output, the duality theory is used to generate cut-plane constraints excluding infeasible points, the three-dimensional domain interval with storage and load regulation interval and the acceptable wind power fluctuation range is calculated, then the influence of configuring energy storage resources on improving the acceptability for wind power of the system is quantified. In the IEEE 30-bus system, three-dimensional domain interval is utilized to visually portray the wind power accommodation fluctuation range of the system cooperated with the multi-typical flexibility of the system. The numerical examples indicate that using the proposed model to simulate the impact on the ability of system to cope with random changes in wind power output by source-load-storage interaction, which is generated by the spatial distribution and capacity rationing relationship between energy storage, wind power and flexible loads, and could improve the economics of energy storage configuration planning.

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Foundation:

This work is supported by State Grid Corporation of China (No. 5100-202256003A-1-1-ZN).

Get Citation
[1]CHENG Yu, CHEN Xi. Analysis on Influence of Energy Storage on Accommodation Capability of Wind Power Based on Source-Load-Storage Interaction[J]. Automation of Electric Power Systems,2022,46(13):84-93. DOI:10.7500/AEPS20210701001
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History
  • Received:July 01,2021
  • Revised:December 28,2021
  • Adopted:
  • Online: July 05,2022
  • Published: