Power Balance Partition Control Based on Topology Characteristics of Multi-Source Energy Storage Nodes

Songqing Cheng, Yun Teng*, Hao Zuo, Zhe Chen

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

5 Citations (Scopus)

Abstract

Aiming at the power balance control of multi-source energy storage grid in the case of a high proportion of new energy grid connection. In this article, a power grid dynamic partition method based on the Markov energy field principle and a priori knowledge model is proposed. Combined with the coordinated dispatching of power grid source-load, a two-layer power balance partition control model based on the topological characteristics of multi-source energy storage nodes is established. First, in the upper-layer model, the energy homogenization method of multi-source energy storage nodes is studied, and the Markov energy field model of power grid node partition based on energy interaction constraints between nodes is established to partition the power grid initially. Combined with the prior model of node dynamic partition, the initial partition is dynamically optimized to realize the dynamic partition of the multi-source energy storage grid. Then, in the lower-layer model, the source-load coordinated dispatching model in the power grid partition area is established to realize the dynamic partition control of the power grid. Finally, based on the real operation data of a northeast power grid and IEEE39 node system, a dynamic partition power control simulation model of a multi-source energy storage power grid is established. The simulation results and analysis show that the dynamic partition power control strategy proposed in this article can effectively improve the regulation ability and economy of the power grid.

Original languageEnglish
Article number843536
JournalFrontiers in Energy Research
Volume10
DOIs
Publication statusPublished - 10 May 2022

Bibliographical note

Publisher Copyright:
Copyright © 2022 Cheng, Teng, Zuo and Chen.

Keywords

  • energy correlation
  • Markov random field
  • multi-energy storage
  • power balance dynamic partition control
  • source-load coordinated dispatching

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