Applied Sciences (Mar 2024)

Multiple DC Modulation Coordination Strategies Based on Transient Energy Function and Deep Deterministic Policy Gradient Algorithm

  • Chao Xing,
  • Mingqun Liu,
  • Junzhen Peng,
  • Xueke Wang,
  • Yuhong Wang,
  • Zongsheng Zheng,
  • Shilin Gao,
  • Jianquan Liao

DOI
https://doi.org/10.3390/app14062519
Journal volume & issue
Vol. 14, no. 6
p. 2519

Abstract

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Ultra-low-frequency oscillation (ULFO) is a new problem of frequency stability in asynchronous network back-end power networks. The negative damping provided by hydropower units is the direct cause of ultra-low-frequency oscillation, and DC modulation is an effective means of suppressing system frequency oscillation. Based on the transient energy function and the limitation of DC modulation, this paper analyzes the conditions of suppressing system oscillation by DC modulation from the perspective of energy. The weight of unit energy participation is defined, and the calculation formula of transient oscillation energy in a certain oscillation mode is derived. DC modulation sensitivity is then used to create a DC modulation sequence table based on the Prony identification approach. Ultimately, the DC involved in the modulation is identified using the DC modulation sequence table and the transient oscillation energy, and the Deep Deterministic Policy Gradient (DDPG) algorithm is used to optimize the chosen DC modulation parameters.

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