A Dynamic Inertia Control Method for a New Energy Station Based on a DC-Driven Synchronous Generator and Photovoltaic Power Station Coordination

Libin Yang, Wanpeng Zhou (), Chunlai Li, Shuo Liu and Yuyan Qiu
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Libin Yang: State Grid Qinghai Electric Power Company, Xining 810008, China
Wanpeng Zhou: State Grid Qinghai Electric Power Company, Xining 810008, China
Chunlai Li: State Grid Qinghai Electric Power Company, Xining 810008, China
Shuo Liu: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China
Yuyan Qiu: School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China

Sustainability, 2025, vol. 17, issue 11, 1-21

Abstract: The inertia control ability of photovoltaic power stations is weak. This leads to the problem that photovoltaic power stations cannot provide effective physical inertia support in the grid-connected system. In this paper, a photovoltaic power station controlled by a synchronous generator and virtual synchronous power generation is taken as the research object. A station-level dynamic inertia control model with synchronous machine and inverter control parameters coordinated is established. Firstly, the weakening of system inertia after a high-proportion photovoltaic grid connection is analyzed. Inertia compensation analysis based on an MW-level synchronous unit is carried out. According to the principle of virtual synchronous control of inverter, the virtual inertia control method and physical mechanism of a grid-connected inverter in a photovoltaic station are studied. Secondly, the inertia characteristics of the DC side of the grid-connected inverter are analyzed. The cooperative inertia control method of the photovoltaic grid-connected inverter and synchronous machine is established. Then, the influence of inertia on the system frequency is studied. The frequency optimization of the grid-connected parameter optimization of a photovoltaic station based on inertia control is carried out. Finally, aiming at the grid-connected control parameters, the inertia control parameter setting method of the photovoltaic station is carried out. The neural network predictive control model is established. At the same time, the grid-connected control model of the MW-level synchronous machine is embedded. The control system has the inertia characteristics of the synchronous generator and the fast-response dynamic characteristics of the power inverter.

Keywords: multi-exchange collection; inertia control; friendly synchronization control; photovoltaic station (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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