Prof. LI Chenyang | Publications & Academic Profile | SinoGreenTech

Research Publications & English Decoded Briefs

Showing 2 publications

Power Automation Equipment•2026•DOI: 10.16081/j.epae.202607003

Impedance Modeling and Parameter Optimization Method for Wind Farms Considering Station-Level Control

Large-scale wind farms integrated into weak grids are susceptible to broadband oscillations, a problem that existing impedance models and control parameter optimization methods fail to address systematically because they neglect station-level control and frequency coupling effects. This paper proposes a station-level control strategy based on available power allocation and an adaptive compass search (ACS) algorithm for optimizing station control parameters. A sequence impedance method incorporating frequency coupling effects establishes the aggregated wind farm impedance, and the grid-connected multiple-input multiple-output (MIMO) system is decoupled into positive- and negative-sequence single-input single-output (SISO) impedance models. A high-precision wind farm impedance model that accounts for station-level control is constructed, and the Nyquist criterion evaluates the suppression effect of station control on broadband oscillations. The ACS algorithm optimizes station control parameters to enhance the adaptability of wind farm impedance to external grid impedance, thereby reducing oscillation risk. RT-LAB platform simulations validate the impedance modeling method and control parameter optimization. Results demonstrate that considering station-level control yields a high-precision wind farm impedance model. Compared with genetic algorithm (GA), particle swarm optimization (PSO), grey wolf optimizer (GWO), and sparrow search algorithm (SSA), ACS is more suitable for optimizing wind farm control parameters. Under specific weak-grid conditions, ACS-optimized station control parameters effectively improve grid-connected stability of the wind farm.

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SCIENCE CHINA Materials•2026•DOI: 10.1007/s40843-025-3579-8

Synergistic Sulfur Vacancy and Polydopamine Engineering in S v-CdS@PDA Z-scheme Heterojunctions for Photocatalytic H2O2 Production with Robust Anticorrosion

Metal sulfides such as CdS are promising for solar-driven H2O2 production but suffer from rapid charge recombination and severe photocorrosion. This study introduces a dual-functional strategy synergizing sulfur vacancy (Sv) engineering and polydopamine (PDA) coating to overcome these limitations. Sv-CdS nanorods were hydrothermally synthesized with tunable vacancy concentrations, followed by in-situ PDA deposition to construct a direct Z-scheme heterojunction. X-ray photoelectron spectroscopy (XPS) and density functional theory (DFT) calculations reveal that the introduction of S vacancies reduces the work function of CdS, facilitating energy level alignment with PDA and enabling efficient electron transfer from CdS to PDA. By tuning the concentration of S vacancies, the charge transfer efficiency can be maximized. As a result, the photocatalytic H2O2 production rate reaches 2539.5 μmol g−1 h−1 under visible light, and further increases to 4395.5 μmol g−1 h−1 after PDA encapsulation—15.6 times higher than that of pristine CdS. Concurrently, PDA enhances O2 adsorption and protects Sv-CdS from photocorrosion. Sv-CdS@PDA exhibited superior photostability compared to Sv-CdS after three consecutive photocatalytic cycles. Mechanistic studies suggest that the Z-scheme heterojunction effectively separates electron-hole pairs: electrons in the conduction band of CdS reduce O2 to ·O2−, which is subsequently converted to H2O2, while holes in the valence band of Sv-CdS oxidize water to replenish O2. This work provides fundamental insights into engineering charge transfer and stability in sulfide-based photocatalysts.

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