Optimization Study of Control Parameters of Grid-Configured Converter Based on DDPG Algorithm
To address wind power’s inherent intermittency and ensure grid-connected converters’ rapid provision of virtual inertia/damping support during sudden wind speed changes, this study proposes a DDPG-based adaptive optimization strategy for virtual synchronous generators (VSG). The operational principles of grid-connected energy storage VSG are analyzed, with particular emphasis on virtual inertia/damping’s impacts on active power and frequency dynamics. A DDPG-driven adaptive control framework enables real-time parameter adjustments, optimizing power-frequency response. Simulation results demonstrate 0.17s faster regulation, 31.2% lower overshoot, and 0.165Hz reduced frequency fluctuations compared to fixed-parameter control, confirming the strategy’s effectiveness in suppressing oscillations and enhancing system stability. © Beijing Paike Culture Commu. Co., Ltd. 2026.
Библиографическая ссылка
Zhi Jirong, Zhang Lufeng, Wang LiGuo, Sidorov DenisN., Dreglea AlionaI., Iskakov AlexeyB. Optimization Study of Control Parameters of Grid-Configured Converter Based on DDPG Algorithm // Энергетическая политика. Vol.1509 LNEE. 2026. P.271-280. ISBN (print): 9789819680023; 9789819542734; . DOI: 10.1007/978-981-95-4290-1_30
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