• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

ELECTRIC POWER CONSTRUCTION ›› 2023, Vol. 44 ›› Issue (12): 125-135.doi: 10.12204/j.issn.1000-7229.2023.12.011

• Stability Analysis and Control of New Power System ?Hosted by Associate Professor XIA Shiwei, Professor XU Yanhui, Professor YANG Deyou and Associate Professor LIU Cheng? • Previous Articles     Next Articles

Parameter Optimization Method of Grid-Forming Energy Storage Considering System Frequency Stability and Small Signal Stability

LI Li1(), WANG Jiaming2(), ZHANG Qinglei1(), LI Jun1(), WANG Tong2()   

  1. 1. Dispatch and Control Center of State Grid Shaanxi Electric Power Company,Xi'an 710049,China
    2. State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources(North China Electric Power University),Beijing 102206,China
  • Received:2022-12-12 Published:2023-12-01 Online:2023-11-29


To deal with the problem of insufficient inertia of new energy, the control technology of virtual synchronous generators (VSG) in grid-forming energy storage has been continuously developed, which provides inertia support for the system while causing power oscillation and reducing the power angle stability of the system. To solve this problem, the mechanism of the influence of the virtual inertia and virtual damping parameters of the virtual synchronous generator on the system stability is explained, and a parameter optimization strategy is proposed for the virtual synchronous generator. This strategy simultaneously considers the frequency stability and small-signal stability of the system to establish an objective function optimization model. The objective function minimizes the maximum frequency deviation and the maximum sum of the damping ratio of the system oscillation mode. The stability interval of each control parameter is considered the constraint condition. The strategy was solved using a fast non-dominated sequencing genetic algorithm (NSGA-II) with an elite strategy. Finally, the effectiveness of this method is verified through a simulation.

This work is supported by National Natural Science Foundation of China(No. 52277096).

Key words: grid-forming energy storage, virtual synchronous generator (VSG), inertia, damping

CLC Number: