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考虑构网型储能支撑能力的微电网优化调度策略

Translated title of the contribution: Optimal Scheduling Strategy for Microgrid Considering the Support Capabilities of Grid Forming Energy Storage
  • Zhibin Yan
  • , Li Li
  • , Peng Yang
  • , Huihui Song*
  • , Bin Che
  • , Panlong Jin
  • *Corresponding author for this work
  • Ningxia Electric Power Company
  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • School of New Energy, Harbin Institute of Technology Weihai

Research output: Contribution to journalArticlepeer-review

Abstract

In order to coordinate the stability and operation efficiency of the microgrid, the inertial support characteristics and frequency support capability of the grid-forming storage are analyzed. Based on this, the optimization objectives of the microgrid are clarified, and the constraints such as power balance, equipment operation, system inertia, and reserve capacity are formed. Combined with the nonlinear optimization problem solver of the Optimization Toolbox, an optimization scheduling strategy considering the support capability of the grid-forming energy storage proposed. In order to test the effectiveness of the proposed strategy, the joint probability distribution function of wind and solar power generation is constructed by using the kernel density estimation method the Copula function, and the typical scenarios of new energy are formed based on the K-means clustering. The analysis is carried out under the typical scenarios, and results show that the proposed method can give full play to the support capability of the grid-forming energy storage and effectively improve the level of new energy consumption.

Translated title of the contributionOptimal Scheduling Strategy for Microgrid Considering the Support Capabilities of Grid Forming Energy Storage
Original languageChinese (Traditional)
Pages (from-to)103-110
Number of pages8
JournalZhongguo Dianli/Electric Power
Volume58
Issue number2
DOIs
StatePublished - 28 Feb 2025
Externally publishedYes

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

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