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Two-Stage Planning Method for Capacity Planning and Site Selection of Grid-Forming Energy Storage Considering Voltage Support Capability

  • Zhibin Yan
  • , Bohui Jia
  • , Peng Yang
  • , Yuxuan Zhang
  • , Liangchen Lyv
  • , Xiang Gao*
  • , Xinpo Lin
  • , Huihui Song
  • *Corresponding author for this work
  • Ningxia Electric Power Company
  • School of New Energy, Harbin Institute of Technology Weihai
  • Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The inherent intermittency and uncertainty of renewable energy generation lead to a decline in system inertia and voltage support capability, posing severe challenges to the stable operation of the power grid. To accurately evaluate the system's voltage support strength, an improved multiple renewable energy stations short circuit ratio (MRSCR) calculation method that accounts for grid-forming energy storage (GFMES) is proposed in this paper, along with the establishment of a two-stage planning algorithm for GFMES capacity determination and site selection. Firstly, a capacity planning model based on multi-scenario probability is constructed for the first stage. With the minimization of total cost as the objective, this model comprehensively optimizes the GFMES capacity and its charge-discharge strategies. Secondly, a site selection optimization model is proposed for the second stage. Aiming to maximize the system's voltage support capability, this model rationally allocates the total GFMES capacity to each power grid bus. Simulation results based on the modified IEEE 33-bus system demonstrate that the proposed method significantly enhances both the system's voltage support capability and operational economy, providing technical references for GFMES planning in power grids with high penetration of renewable energy.

Original languageEnglish
Title of host publication2025 IEEE 9th Conference on Energy Internet and Energy System Integration, EI2 2025
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1344-1349
Number of pages6
ISBN (Electronic)9798331548599
DOIs
StatePublished - 2025
Externally publishedYes
Event2025 IEEE 9th Conference on Energy Internet and Energy System Integration, EI2 2025 - Jilin, China
Duration: 5 Dec 20258 Dec 2025

Publication series

Name2025 IEEE 9th Conference on Energy Internet and Energy System Integration, EI2 2025

Conference

Conference2025 IEEE 9th Conference on Energy Internet and Energy System Integration, EI2 2025
Country/TerritoryChina
CityJilin
Period5/12/258/12/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • capacity planning
  • grid-forming energy storage
  • renewable energy stations short circuit ratio
  • site selection

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