Grid-forming and Grid-Following Dual-Mode Switching Strategy Based on APS-IPSO for Grid-Forming Energy Storage
Abstract
[Objective] Addressing the challenge that grid-forming energy storage converters,operating in a single mode,struggle to adapt to variations in grid short-circuit ratio and complex fault disturbances,this paper proposes a dual-mode switching strategy based on amplitude and phase synchronization(APS),and uses the improved particle swarm optimization(IPSO)to identify its key parameters. [Methods] First,the limitations of conventional grid-forming/grid-following switching strategies are analyzed. The mechanism by which the cumulative voltage phase error in the power loop induces reactive power/voltage deviations,thereby amplifying transient impacts during mode switching,is revealed. Based on this,an APS compensation mechanism is proposed to simultaneously correct the voltage amplitude and phase signal during the mode switching process,ensuring smooth changes in the inner-loop current reference signal. Second,to overcome the difficulty in tuning the parameters of the conventional strategy's tracking loops,an IPSO algorithm based on nonlinear inertia weights and learning factors is used to adaptively identify the parameters of the four sets of tracking loops. This enhances the tracking performance and disturbance suppression effect of the energy storage converter on the operation points of the grid-following and grid-forming modes. [Conclusions] Validation was conducted via an electromagnetic transient model of a MW-level grid-forming energy storage system built in MATLAB/Simulink. The results showed that the proposed control strategy could successfully achieve a transient power impact of less than 0.02 p.u.,and could operate stably in the scenarios of continuous switching and operation point fluctuation. [Conclusions] Compared with the conventional switching strategy,the APS-IPSO-based strategy enables energy storage converters to achieve low-impact switching and high stability during grid-following to grid-forming transitions,providing a theoretical basis for the subsequent deployment of energy storage or new energy units with mode switching in new energy stations.
Fields of Study & Subjects
Microgrid Control and Optimization
Power Systems and Renewable Energy
Islanding Detection in Power Systems
Publication details
- Journal / source
- DOAJ (DOAJ: Directory of Open Access Journals)
- Publication date
- 1 January 2026
- Language
- ZH