Privacy-preserving collaborative control of multiple photovoltaic generators using state decomposition

Abstract

This paper addresses the security-performance trade-off in collaborative control of distributed photovoltaic (PV) generators by proposing an integrated privacy-preserving framework. The framework synergistically combines a state decomposition mechanism, which partitions sensitive data, with an event-triggered mechanism to minimize data exposure. System stability is formally guaranteed via Lyapunov’s second method. Simulation results demonstrate that the framework achieves control performance and stability comparable to a standard non-private controller. Quantitative analysis confirms a significant reduction in communication frequency and, crucially, near-zero information leakage against eavesdropping attacks, outperforming controllers that rely solely on event-triggered mechanisms. A noted limitation is the focus on specific attack models, with robustness against more complex adversarial actions earmarked for future work.