To achieve the dual carbon goals of carbon peaking and carbon neutrality, a significant amount of renewable energy sources (RES) must be integrated into the power grid. Due to the variability and randomness of RES generation, numerous challenges are posed to grid stability. This paper proposes a novel method utilizing an improved Multi-Verse Optimization (MVO) algorithm for reactive power optimization in distribution networks with high RES penetration. This approach incorporates solid-state transformers (SST) for reactive power control, aiming to enhance economic efficiency and grid stability through a dual-layer optimization model. Simulations conducted on the IEEE 30-bus system demonstrate that this method can reduce system losses and improve voltage stability, effectively validating the superiority of the proposed approach.

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Reactive Power Optimization of Flexible Distribution Networks with High Proportion of Renewable Energy Based on Improved Multi-verse Optimization Algorithm

  • Mingguang Zhang,
  • Congcong Zhu,
  • Xiaonan Li

摘要

To achieve the dual carbon goals of carbon peaking and carbon neutrality, a significant amount of renewable energy sources (RES) must be integrated into the power grid. Due to the variability and randomness of RES generation, numerous challenges are posed to grid stability. This paper proposes a novel method utilizing an improved Multi-Verse Optimization (MVO) algorithm for reactive power optimization in distribution networks with high RES penetration. This approach incorporates solid-state transformers (SST) for reactive power control, aiming to enhance economic efficiency and grid stability through a dual-layer optimization model. Simulations conducted on the IEEE 30-bus system demonstrate that this method can reduce system losses and improve voltage stability, effectively validating the superiority of the proposed approach.