Work

Fuzzy-enhanced cooperative control of multiple virtual synchronous generators for grid-connected energy storage systems

Year: 2025

Type: article

Abstract: To resolve the issues of power oscillation and frequency instability in microgrids integrating multiple energy storage systems (ESS) with varying capacities, this paper proposes a fuzzy logic-based adaptive cooperative control strategy for multi-virtual synchronous generators (VSGs). First, a torque compensation mechanism is introduced to eliminate steady-state frequency deviations in conventional VSG and achieve precise power sharing based on capacity ratios. Second, a fuzzy logic system is leveraged to dynamically adjusts virtual inertia during frequency changes, thereby suppressing high-frequency oscillations and harmonics which arise from inconsistent responses of parallel VSGs. Furthermore, multi-agent consensus theory is integrated with fuzzy logic to ensure output synchronization of grid-connected storage inverters, effectively mitigating inter-VSG oscillations and enhancing system stability. Finally, comprehensive validation via simulations and hardware-in-the-loop experiments confirms the proposed framework’s superiority in dynamic operating conditions, demonstrating improved system stability and response.

Source: Journal of Energy Storage

DOI: 10.1016/j.est.2025.119607

Authors: Jinlei Pei, Tinglong Pan, Weilin Yang, Chengxi Zhang, Wentao Huang, Dezhi Xu

Institutions: Jiangnan University, Southeast University

Language: English

Topic: Microgrid Control and Optimization

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $3,560