Electric Power ›› 2024, Vol. 57 ›› Issue (7): 12-20.DOI: 10.11930/j.issn.1004-9649.202312029

• Modeling and Decision-making for Uncertainty in the New Power System • Previous Articles     Next Articles

A Novel Inertia Delay Optimization Control Strategy for New Power Systems Based on Crisscross Optimization

Xue WANG1(), Lin LIU1, Wendi LIU2, Yanpeng ZHAI2, Ling YANG2(), Fangyuan XU2, Yan GAO3, Jixin ZHANG3   

  1. 1. State Grid Energy Research Institute Co., Ltd., Beijing 102209, China
    2. School of Automation, Guangdong University of Technology, Guangzhou 510006, China
    3. State Grid Baoding Electric Power Supply Company, Baoding 071051, China
  • Received:2023-12-08 Accepted:2024-03-07 Online:2024-07-23 Published:2024-07-28
  • Supported by:
    This work is supported by Science and Technology Project of SGCC (Research on Key Technologies of System Inertia Metering and Commercial Modes under New Power System, No.1400-202357351A-1-1-ZN).

Abstract:

The power system, traditionally dominated by synchronous generators, is evolving into a new power system where virtual synchronous generators (VSGs) take the lead. This transition results in significant changes in the system's dynamic characteristics. Currently, most literature focuses on analyzing the dynamic behaviors of standalone or multi-machine grid systems based on an assumption of infinite power supply, with limited research on the dynamic characteristics of new power systems dominated entirely by VSGs. Therefore, this study first builds a model of a three-machine, nine-node system where VSGs are the primary controllers and conducts transient simulations using differential equations. Subsequently, the crisscross optimization (CSO) algorithm is employed to optimize the inertia delay in the new power system. A comparison is made between the optimized control system and the non-optimized system. The results demonstrate that the optimized system exhibits reduced oscillation amplitude and shorter adjustment times after disturbances occur. Through simulations, the validity of the conclusions is verified.

Key words: three-machine, nine-node system, crisscross optimization (CSO), virtual synchronous generator (VSG), delay optimization, dynamic characteristics