研究目的
Investigating the adaptive controller parameter design method for a photovoltaic-VSG (PV-VSG) integrated power system to improve system stability and damping performance across a wider range of photovoltaic power output changes.
研究成果
The paper presents an adaptive controller parameter design method for a PV-VSG integrated power system, demonstrating through time domain simulation that optimized parameters can maintain good damping performance when the output of the PV cells randomly drifts at the operating point. The proposed method proves effective and adaptable for improving system stability.
研究不足
The study focuses on an infinite power system into which PV-VSG is incorporated. The interaction between PV-VSG and other dynamic components in the system such as generators and HVDC may cause oscillation, which is not addressed in this paper.
1:Experimental Design and Method Selection:
The study involves building a small-signal model of the PV-VSG and deducing a state space model to analyze the small-signal stability and low frequency oscillation characteristics of the photovoltaic power generation system.
2:Sample Selection and Data Sources:
The system under study is a photovoltaic power generation system consisting of photovoltaic cell components, energy storage capacitors, inverters, and controllers.
3:List of Experimental Equipment and Materials:
The main parameters include UB/kV, SB/MVA, Im0/A, Um0/V, Isc0/A, Usc0/V, Cdc/pu, Xf/pu, Xg/pu, battery serial number, battery parallel number, J/pu, D/pu, Dq/pu, K/pu, Kpv/s, Kiv/pu, Vref.
4:Experimental Procedures and Operational Workflow:
The study involves performing small-signal stability analysis on the test system, calculating the eigenvalues of the state matrix, and analyzing the eigenvalue trajectories of the PV-VSG generation system under different initial conditions.
5:Data Analysis Methods:
The study utilizes a quantitative model to reflect the comprehensive benefits of different parameter combinations and proposes a global optimization design method for controller parameters to improve system stability.
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