Speaker
Description
This paper focuses on the conceptual design and evaluation of an HTS magnet for superconducting magnetic energy storage (SMES) aimed at mitigating subsynchronous oscillation (SSO) caused by a virtual synchronous generator (VSG). Considering the frequency characteristics of the 150 kW class VSG and its requirements for decreasing the fluctuations, the stored energy of the SMES magnet is set as 450 kJ, and the YBCO tapes are adopted to make a solenoid SMES magnet. Utilizing an enhanced version of the genetic algorithm, we focus on optimizing various magnet parameters. This includes critical current, which is essential for assessing the performance of superconducting materials, tape length, which affects the physical dimensions and application of the magnet, as well as the optimization of parallel and perpendicular magnetic fields. By adjusting these parameters, it is aimed to achieve improved efficiency and effectiveness in magnet design. Finally, to assess the performance of the designed HTS magnet for the SMES, we conduct the simulation analysis and incorporate the detailed electromagnetic behavior of the magnet into the power system dynamics model. By simulating diverse operating scenarios, including sudden load changes and grid faults, we quantified the damping effect of the SMES on SSOs. The simulation results demonstrated that the proposed HTS magnet-based SMES could substantially reduce the subsynchronous oscillations, and meanwhile, the maximum stress, mechanical strength, and heat accumulation of the SMES magnet are satisfied.